Master High-Stakes Performance Testing to Future-Proof Your Tech Career
Course Format & Delivery Details This premium learning experience is designed for professionals who demand clarity, speed, and real-world applicability in their upskilling journey. If you're serious about mastering performance testing under real pressure, in complex environments, with mission-critical systems, this course is built precisely for you. Self-Paced. Immediate Online Access. No Barriers.
Enroll now and begin your transformation immediately. The course is 100% self-paced, with on-demand access from any device, anywhere in the world. There are no fixed schedules, no deadlines, and no time zones to work around. You control your progress, your pace, and your outcomes. - You can complete the core content in as little as 21 hours, with many learners applying key insights to their work within the first 48 hours of enrollment.
- Most students report measurable improvements in test design, system resilience analysis, and performance bottleneck resolution within the first week.
Lifetime Access. Zero Extra Cost. Always Up to Date.
Once enrolled, you receive lifetime access to all course materials. This includes every current module and every future update, revision, or enhancement released by The Art of Service - at no additional cost. Technology evolves. Your learning support evolves with it. 24/7 Global Access. Fully Mobile-Friendly. No Installation Required.
Log in anytime, from any device - desktop, tablet, or smartphone. The entire course is optimized for seamless navigation across platforms. No downloads, no software, no friction. Your learning moves with you. Direct Instructor Guidance & Expert Support
As a learner, you are not alone. You receive ongoing guidance from seasoned performance engineering architects with over two decades of experience in financial systems, cloud infrastructure, and large-scale transaction platforms. Access structured Q&A forums, curated troubleshooting workflows, and expert-reviewed implementation templates designed to accelerate mastery. Certificate of Completion – Globally Recognized. Credible. Career-Advancing.
Upon finishing the course, you earn a verifiable Certificate of Completion issued by The Art of Service, a globally trusted provider of high-impact technical training. This certification is recognized across industries including fintech, healthcare systems, e-commerce, and enterprise SaaS. It validates your ability to design, execute, and manage high-stakes performance testing in real production environments. Transparent Pricing. No Hidden Fees. Simple Checkout.
The price you see is the price you pay. There are no recurring charges, no hidden fees, and no surprise costs. One-time payment. Lifetime access. Period. - We accept all major payment methods: Visa, Mastercard, PayPal
100% Risk-Free Enrollment: Satisfied or Refunded
We stand behind the value and effectiveness of this course with a full satisfaction guarantee. If you complete the first three modules and do not feel you've gained actionable, career-relevant skills, simply request a refund. No questions, no forms, no hassle. Your investment is protected. What Happens After Enrollment?
After you enroll, you'll receive a confirmation email acknowledging your registration. Your unique access details and onboarding instructions will be sent in a separate message once your course materials are prepared and securely activated. This ensures you receive a polished, fully functioning learning environment, ready for immediate use. “Will This Work for Me?” - Here’s How We Ensure It Does.
Performance testing is not a one-size-fits-all skill. That’s why this course is built on real-world use cases, role-specific implementation paths, and adaptive learning structures. This works even if:
- You've struggled with abstract or overly theoretical training in the past
- You're transitioning from manual testing into performance engineering
- Your systems involve legacy architecture, hybrid clouds, or compliance-sensitive environments
- You're not currently working in a performance testing role - but want to be
- You’ve used tools like JMeter or LoadRunner but lack a structured framework for high-stakes scenarios
Thousands of developers, QA engineers, DevOps specialists, and systems architects have used this program to transition into senior performance roles, lead incident reviews, and design resilient systems under load. Here's what they say: - I applied the bottleneck isolation framework from Module 5 to our payment gateway during a peak transaction weekend. We reduced latency by 62% before Black Friday. - Amir K., Senior SRE, E-commerce Platform
- I had no formal performance training. After six weeks in this course, I led my team’s first end-to-end stress testing protocol. We passed our SOC2 audit with zero performance findings. - Lila M., QA Lead, HealthTech Startup
- his isn’t just about tools. It’s about decision-making under pressure. I now have the mental models to justify infrastructure spend during performance reviews - with data. - Raj P., Cloud Architect, FinServ Group
This course removes risk through real templates, repeatable workflows, and a structured path to demonstrable skill gain. You don’t just learn concepts - you prove your capability through hands-on application projects and certification assessment.
Extensive and Detailed Course Curriculum
Module 1: Foundations of High-Stakes Performance Testing - Defining high-stakes environments: financial systems, healthcare platforms, real-time trading
- Understanding the difference between normal and high-stakes performance testing
- The cost of failure: downtime, revenue loss, reputational damage, compliance penalties
- Key performance indicators in mission-critical systems
- Response time, throughput, error rate, resource utilization
- Types of high-stakes systems: monoliths, microservices, serverless, hybrid
- The role of performance testing in DevOps and CI CD pipelines
- Regulatory and compliance considerations: GDPR, HIPAA, PCI DSS
- Stakeholder alignment: bridging the gap between engineering and business
- Creating a performance culture in engineering teams
- The psychology of pressure: making decisions under load and system stress
- Common anti-patterns in performance testing
- Establishing baseline performance metrics
- Performance vs scalability vs reliability: clarifying core concepts
- Introduction to non-functional requirements and SLAs
Module 2: Core Principles and Testing Frameworks - The performance testing lifecycle: plan, design, execute, analyze, report
- Capacity planning and performance modeling
- Load, stress, soak, spike, and shift-left testing explained
- Choosing the right testing type for high-stakes systems
- The 5-phase model: requirements, scripting, execution, monitoring, reporting
- Integrating performance testing into agile sprints
- Building a performance test strategy document
- Defining success criteria and pass fail thresholds
- Scenario design for real-world user behavior
- User concurrency modeling and session replication
- Designing tests that simulate flash crowds and peak loads
- Load curves and ramp-up ramp-down patterns
- The importance of test data realism
- Data masking and synthetic dataset creation
- Infrastructure assumptions and environment parity
Module 3: Tooling Ecosystem and Environment Setup - Evaluating open-source vs commercial performance tools
- Apache JMeter: architecture, components, and limitations
- Gatling: strengths for high-concurrency scenarios
- K6: scriptability and cloud integration advantages
- Choosing the right tool based on system architecture
- Setting up distributed load generators for high-volume testing
- Test environment provisioning: containers, VMs, cloud instances
- Docker and Kubernetes for scalable test orchestration
- Network configuration for accurate latency simulation
- Firewall and security group adjustments for test traffic
- Database setup: read replicas, connection pooling, isolation
- Mocking external dependencies and third-party APIs
- Using service virtualization to overcome environment bottlenecks
- Time synchronization across distributed nodes
- Log collection and correlation strategies
Module 4: Test Scripting and Scenario Engineering - Scripting best practices: maintainability, reusability, readability
- Modular test design: breaking down complex user journeys
- Parameterization and dynamic variable injection
- Managing authentication: sessions, tokens, OAuth flows
- Handling CSRF tokens and anti-bot mechanisms
- Think time, pacing, and realistic user delays
- Correlation: extracting and reusing dynamic values
- Assertion design: validating responses under load
- Checksum validation and payload verification
- Error handling and conditional logic in test scripts
- Test data rotation and input variation
- Using CSV and JSON files for data-driven testing
- Randomization strategies to avoid caching artifacts
- Simulating geographically distributed users
- Mobile-specific considerations: intermittent connectivity, smaller payloads
Module 5: Execution Strategies for Mission-Critical Systems - Test execution checklist: pre-run validation
- Environment health checks before test starts
- Monitoring tool integration during execution
- Control groups and canary testing approaches
- Executing tests during off-peak hours vs production mirroring
- Scheduled vs on-demand execution workflows
- Automated trigger conditions based on system state
- Handling test interruptions and graceful shutdowns
- Recovery procedures after failed test runs
- Parallel vs sequential test execution
- Resource allocation for load generators
- Garbage collection tuning for test agents
- Thread management and connection limits
- Handling memory leaks in test tools
- Execution logging and audit trails
Module 6: Real-Time Monitoring and Infrastructure Telemetry - Key monitoring layers: application, database, network, OS
- Instrumenting applications for performance visibility
- APM tools: Dynatrace, AppDynamics, New Relic
- Log aggregation with ELK, Splunk, or Datadog
- Metrics collection with Prometheus and Grafana
- Database performance monitoring: slow queries, locks, waits
- Identifying CPU, memory, disk, and network bottlenecks
- Monitoring thread pools and connection saturation
- Garbage collection metrics and JVM tuning
- Microservice tracing with OpenTelemetry
- Service mesh visibility: Istio, Linkerd
- Cloud provider monitoring: AWS CloudWatch, GCP Operations, Azure Monitor
- Queue depth and message processing latency
- Caching layer performance: Redis, Memcached
- CDN and edge performance analysis
Module 7: Performance Bottleneck Identification and Root Cause Analysis - The 5-layer bottleneck model: client, network, server, database, storage
- Top-down vs bottom-up analysis approaches
- Using response time decomposition to isolate delays
- Identifying serialization bottlenecks
- Thread contention and CPU spinning detection
- Database connection pool exhaustion
- Deadlock and race condition identification
- Memory leak detection and heap dump analysis
- Disk I O and storage latency patterns
- Network latency, packet loss, and bandwidth saturation
- Slow API chains and cascading failures
- Distributed tracing for cross-service analysis
- HTTP 5xx errors vs 4xx client errors under load
- Caching inefficiencies and cache stampedes
- Contention in shared resources and microservices
Module 8: Results Analysis, Reporting, and Communication - Interpreting performance test output: averages vs percentiles
- Understanding tail latency and its business impact
- Using histograms, heatmaps, and time-series graphs
- Statistical significance in performance data
- Identifying trends across multiple test runs
- Outlier detection and anomaly identification
- Correlating infrastructure metrics with user-facing performance
- Creating executive summaries for non-technical stakeholders
- Generating technical reports for engineering teams
- Visual storytelling with performance dashboards
- Root cause documentation and evidence packaging
- Recommendation prioritization: quick wins vs long-term fixes
- Linking findings to business KPIs
- Presenting findings in incident review meetings
- Building a performance testing knowledge repository
Module 9: Advanced Techniques for Extreme Load Conditions - Modeling flash sales and sudden traffic spikes
- Spike testing: rapid on ramp and off ramp
- Chaos engineering principles applied to performance
- Simulating partial infrastructure outages during load
- Failover and high-availability testing under pressure
- Database failover performance under concurrent load
- Testing autoscaling policies with real demand patterns
- Validating circuit breakers and fallback mechanisms
- Rate limiting and throttling strategies
- Backpressure handling in message queues
- Distributed locking performance under contention
- Idempotency testing in high-throughput systems
- Eventual consistency verification under load
- Testing bulk data ingestion pipelines
- Large file upload and download performance
Module 10: Soak Testing and Long-Running Stability - The purpose of extended duration testing
- Detecting memory leaks over time
- Thread and connection pool degradation
- Log file growth and disk space exhaustion
- Scheduled job interference under continuous load
- Garbage collection frequency and pause times
- Database index fragmentation and query plan changes
- Connection timeout and reset behaviors
- Session state persistence in distributed systems
- Cache coherence in clustered environments
- Monitoring disk I O patterns over extended periods
- Power consumption and thermal effects in physical systems
- Defining pass criteria for soak tests
- Automated anomaly detection in long-running tests
- Reporting strategies for extended test findings
Module 11: Performance in CI CD and Shift-Left Testing - Integrating performance tests into pull request workflows
- Baseline comparison and regression detection
- Setting performance gates in deployment pipelines
- Threshold-based automatic test failure
- Parallel execution in CI environments
- Resource constraints in CI runners
- Using lightweight performance smoke tests
- Differentiating between smoke, regression, and full-scale tests
- Reporting integration with Jira and Azure DevOps
- Automated performance test scheduling
- Historical trend analysis in CI
- Flaky test identification and management
- Test result storage and long-term comparison
- Notification systems for performance regressions
- Team accountability and ownership models
Module 12: Cloud-Native Performance Testing - Performance implications of serverless architecture
- Function cold start impact on user experience
- Container startup time and auto-provisioning delays
- Cloud billing models and performance cost optimization
- Region selection and latency trade-offs
- Multi-cloud performance benchmarking
- Edge computing and latency-sensitive workloads
- Stateful vs stateless service performance
- Distributed tracing in hybrid cloud environments
- Cloud cost monitoring during performance tests
- S3 and blob storage performance at scale
- Database-as-a-Service limitations under load
- Cloud-native load testing platforms
- Security and compliance in cloud performance testing
- Scalability testing of managed services
Module 13: Mobile and API Performance Testing - Testing mobile app performance under real network conditions
- Simulating 3G, 4G, 5G, and Wi-Fi variability
- Offline mode behavior under stress
- Push notification timing and delivery under load
- Background sync performance testing
- REST API performance: statelessness, idempotency, cacheability
- GraphQL performance: query complexity and depth
- gRPC performance: binary serialization and streaming
- Webhook delivery reliability under system stress
- Authentication endpoint scalability
- Rate limiting and API throttling effectiveness
- Schema validation overhead in large payloads
- Pagination and filtering performance
- Batch processing APIs under concurrent load
- Asynchronous job polling performance
Module 14: Security and Performance Interactions - Encryption overhead in high-throughput systems
- TLS handshake performance at scale
- Secure cookie handling under load
- WAF impact on response time and error rates
- DDoS protection triggering during legitimate traffic spikes
- Security scanning performance in CI pipelines
- Rate limiting vs account lockout policies
- Session fixation and token refresh patterns
- Performance impact of audit logging
- Cryptography performance in embedded systems
- Compliance scan overhead during peak operations
- Secure file upload performance
- Multi-factor authentication scalability
- Zero-trust architecture latency considerations
- Role-based access control performance at scale
Module 15: Industry-Specific Performance Patterns - Fintech: transaction processing, settlement windows, fraud detection
- Healthcare: patient data retrieval, telemedicine, HL7 interfaces
- E-commerce: cart checkout flows, inventory locking, payment gateways
- Gaming: real-time multiplayer, leaderboards, in-app purchases
- Travel: booking systems, flight availability, seat maps
- Logistics: tracking updates, route calculation, dispatch systems
- Media: video streaming, content delivery, ad insertion
- Education: online exams, proctoring, video lectures
- Government: tax filing, benefit applications, identity verification
- Energy: smart meter data, grid balancing, outage management
- Telecom: call detail records, roaming, SMS delivery
- Retail: point-of-sale systems, inventory sync, loyalty programs
- Automotive: connected car data, firmware updates, navigation
- Insurance: claims processing, underwriting, policy issuance
- Banking: core banking, ATM networks, SWIFT messaging
Module 16: Performance Testing for Microservices Architecture - Service granularity and its performance implications
- Inter-service communication overhead
- API gateway performance under load
- Service mesh performance: sidecar proxy impact
- Circuit breaker performance tuning
- Distributed configuration management latency
- Service discovery performance at scale
- Event-driven architecture and message queue backlogs
- Saga pattern performance in long-running transactions
- Database per service anti-patterns
- Cross-service authentication performance
- Distributed caching strategies
- Consistency vs availability trade-offs under stress
- Testing bounded contexts independently
- End-to-end transaction tracing across services
Module 17: Database Performance Testing - Connection pool sizing and tuning
- Index performance under concurrent read write load
- Query plan stability and parameter sniffing
- Deadlock detection and resolution
- Replication lag under write pressure
- Shard performance imbalance
- Materialized view refresh overhead
- Full-text search performance at scale
- Geospatial query performance
- OLTP vs OLAP workload interference
- Transaction isolation level impact
- Batch operation optimization
- Partitioning strategy performance validation
- Foreign key constraint processing
- Database link and federated query performance
Module 18: Hands-On Implementation Projects - Project 1: End-to-end load test of an e-commerce checkout flow
- Scripting user login, product search, cart add, and payment
- Simulating 10,000 concurrent users during a sale event
- Monitoring application, database, and payment gateway
- Analyzing and reporting on transaction failure patterns
- Project 2: Banking transaction system stress test
- Modeling balance checks, transfers, and statement generation
- Validating consistency during simultaneous withdrawals
- Testing failover to backup data center
- Measuring end-to-end latency under peak load
- Project 3: Healthcare patient record retrieval under surge
- Testing access during emergency response scenarios
- Validating audit logging performance
- Ensuring HIPAA compliance during data access spikes
- Reporting on system resilience and recovery
Module 19: Certification Preparation and Career Advancement - Performance testing certification exam structure
- Key competencies assessed in advanced certification
- Creating a performance testing portfolio
- Documenting project outcomes with metrics
- Building a personal brand in performance engineering
- LinkedIn optimization for performance testing roles
- Preparing for technical interviews
- Common performance testing interview questions
- Handling live system troubleshooting scenarios
- Demonstrating ROI from performance initiatives
- Transitioning from manual to performance testing
- Negotiating salary based on performance expertise
- Joining performance testing communities and forums
- Staying current with emerging trends and tools
- Contribution to open-source performance projects
Module 20: Final Assessment and Certificate of Completion - Comprehensive knowledge assessment: scenario-based questions
- Performance test design challenge
- Analyzing a real-world performance incident
- Creating a sample test strategy document
- Peer review of implementation approach
- Automated feedback on response quality
- Passing criteria: 80% minimum score
- Immediate result notification
- Downloadable Certificate of Completion
- Verification page accessible to employers
- Badge for LinkedIn and professional profiles
- Access to graduate resource library
- Invitation to exclusive alumni network
- Template for performance testing audit
- Next steps: advanced learning paths and mentorship
Module 1: Foundations of High-Stakes Performance Testing - Defining high-stakes environments: financial systems, healthcare platforms, real-time trading
- Understanding the difference between normal and high-stakes performance testing
- The cost of failure: downtime, revenue loss, reputational damage, compliance penalties
- Key performance indicators in mission-critical systems
- Response time, throughput, error rate, resource utilization
- Types of high-stakes systems: monoliths, microservices, serverless, hybrid
- The role of performance testing in DevOps and CI CD pipelines
- Regulatory and compliance considerations: GDPR, HIPAA, PCI DSS
- Stakeholder alignment: bridging the gap between engineering and business
- Creating a performance culture in engineering teams
- The psychology of pressure: making decisions under load and system stress
- Common anti-patterns in performance testing
- Establishing baseline performance metrics
- Performance vs scalability vs reliability: clarifying core concepts
- Introduction to non-functional requirements and SLAs
Module 2: Core Principles and Testing Frameworks - The performance testing lifecycle: plan, design, execute, analyze, report
- Capacity planning and performance modeling
- Load, stress, soak, spike, and shift-left testing explained
- Choosing the right testing type for high-stakes systems
- The 5-phase model: requirements, scripting, execution, monitoring, reporting
- Integrating performance testing into agile sprints
- Building a performance test strategy document
- Defining success criteria and pass fail thresholds
- Scenario design for real-world user behavior
- User concurrency modeling and session replication
- Designing tests that simulate flash crowds and peak loads
- Load curves and ramp-up ramp-down patterns
- The importance of test data realism
- Data masking and synthetic dataset creation
- Infrastructure assumptions and environment parity
Module 3: Tooling Ecosystem and Environment Setup - Evaluating open-source vs commercial performance tools
- Apache JMeter: architecture, components, and limitations
- Gatling: strengths for high-concurrency scenarios
- K6: scriptability and cloud integration advantages
- Choosing the right tool based on system architecture
- Setting up distributed load generators for high-volume testing
- Test environment provisioning: containers, VMs, cloud instances
- Docker and Kubernetes for scalable test orchestration
- Network configuration for accurate latency simulation
- Firewall and security group adjustments for test traffic
- Database setup: read replicas, connection pooling, isolation
- Mocking external dependencies and third-party APIs
- Using service virtualization to overcome environment bottlenecks
- Time synchronization across distributed nodes
- Log collection and correlation strategies
Module 4: Test Scripting and Scenario Engineering - Scripting best practices: maintainability, reusability, readability
- Modular test design: breaking down complex user journeys
- Parameterization and dynamic variable injection
- Managing authentication: sessions, tokens, OAuth flows
- Handling CSRF tokens and anti-bot mechanisms
- Think time, pacing, and realistic user delays
- Correlation: extracting and reusing dynamic values
- Assertion design: validating responses under load
- Checksum validation and payload verification
- Error handling and conditional logic in test scripts
- Test data rotation and input variation
- Using CSV and JSON files for data-driven testing
- Randomization strategies to avoid caching artifacts
- Simulating geographically distributed users
- Mobile-specific considerations: intermittent connectivity, smaller payloads
Module 5: Execution Strategies for Mission-Critical Systems - Test execution checklist: pre-run validation
- Environment health checks before test starts
- Monitoring tool integration during execution
- Control groups and canary testing approaches
- Executing tests during off-peak hours vs production mirroring
- Scheduled vs on-demand execution workflows
- Automated trigger conditions based on system state
- Handling test interruptions and graceful shutdowns
- Recovery procedures after failed test runs
- Parallel vs sequential test execution
- Resource allocation for load generators
- Garbage collection tuning for test agents
- Thread management and connection limits
- Handling memory leaks in test tools
- Execution logging and audit trails
Module 6: Real-Time Monitoring and Infrastructure Telemetry - Key monitoring layers: application, database, network, OS
- Instrumenting applications for performance visibility
- APM tools: Dynatrace, AppDynamics, New Relic
- Log aggregation with ELK, Splunk, or Datadog
- Metrics collection with Prometheus and Grafana
- Database performance monitoring: slow queries, locks, waits
- Identifying CPU, memory, disk, and network bottlenecks
- Monitoring thread pools and connection saturation
- Garbage collection metrics and JVM tuning
- Microservice tracing with OpenTelemetry
- Service mesh visibility: Istio, Linkerd
- Cloud provider monitoring: AWS CloudWatch, GCP Operations, Azure Monitor
- Queue depth and message processing latency
- Caching layer performance: Redis, Memcached
- CDN and edge performance analysis
Module 7: Performance Bottleneck Identification and Root Cause Analysis - The 5-layer bottleneck model: client, network, server, database, storage
- Top-down vs bottom-up analysis approaches
- Using response time decomposition to isolate delays
- Identifying serialization bottlenecks
- Thread contention and CPU spinning detection
- Database connection pool exhaustion
- Deadlock and race condition identification
- Memory leak detection and heap dump analysis
- Disk I O and storage latency patterns
- Network latency, packet loss, and bandwidth saturation
- Slow API chains and cascading failures
- Distributed tracing for cross-service analysis
- HTTP 5xx errors vs 4xx client errors under load
- Caching inefficiencies and cache stampedes
- Contention in shared resources and microservices
Module 8: Results Analysis, Reporting, and Communication - Interpreting performance test output: averages vs percentiles
- Understanding tail latency and its business impact
- Using histograms, heatmaps, and time-series graphs
- Statistical significance in performance data
- Identifying trends across multiple test runs
- Outlier detection and anomaly identification
- Correlating infrastructure metrics with user-facing performance
- Creating executive summaries for non-technical stakeholders
- Generating technical reports for engineering teams
- Visual storytelling with performance dashboards
- Root cause documentation and evidence packaging
- Recommendation prioritization: quick wins vs long-term fixes
- Linking findings to business KPIs
- Presenting findings in incident review meetings
- Building a performance testing knowledge repository
Module 9: Advanced Techniques for Extreme Load Conditions - Modeling flash sales and sudden traffic spikes
- Spike testing: rapid on ramp and off ramp
- Chaos engineering principles applied to performance
- Simulating partial infrastructure outages during load
- Failover and high-availability testing under pressure
- Database failover performance under concurrent load
- Testing autoscaling policies with real demand patterns
- Validating circuit breakers and fallback mechanisms
- Rate limiting and throttling strategies
- Backpressure handling in message queues
- Distributed locking performance under contention
- Idempotency testing in high-throughput systems
- Eventual consistency verification under load
- Testing bulk data ingestion pipelines
- Large file upload and download performance
Module 10: Soak Testing and Long-Running Stability - The purpose of extended duration testing
- Detecting memory leaks over time
- Thread and connection pool degradation
- Log file growth and disk space exhaustion
- Scheduled job interference under continuous load
- Garbage collection frequency and pause times
- Database index fragmentation and query plan changes
- Connection timeout and reset behaviors
- Session state persistence in distributed systems
- Cache coherence in clustered environments
- Monitoring disk I O patterns over extended periods
- Power consumption and thermal effects in physical systems
- Defining pass criteria for soak tests
- Automated anomaly detection in long-running tests
- Reporting strategies for extended test findings
Module 11: Performance in CI CD and Shift-Left Testing - Integrating performance tests into pull request workflows
- Baseline comparison and regression detection
- Setting performance gates in deployment pipelines
- Threshold-based automatic test failure
- Parallel execution in CI environments
- Resource constraints in CI runners
- Using lightweight performance smoke tests
- Differentiating between smoke, regression, and full-scale tests
- Reporting integration with Jira and Azure DevOps
- Automated performance test scheduling
- Historical trend analysis in CI
- Flaky test identification and management
- Test result storage and long-term comparison
- Notification systems for performance regressions
- Team accountability and ownership models
Module 12: Cloud-Native Performance Testing - Performance implications of serverless architecture
- Function cold start impact on user experience
- Container startup time and auto-provisioning delays
- Cloud billing models and performance cost optimization
- Region selection and latency trade-offs
- Multi-cloud performance benchmarking
- Edge computing and latency-sensitive workloads
- Stateful vs stateless service performance
- Distributed tracing in hybrid cloud environments
- Cloud cost monitoring during performance tests
- S3 and blob storage performance at scale
- Database-as-a-Service limitations under load
- Cloud-native load testing platforms
- Security and compliance in cloud performance testing
- Scalability testing of managed services
Module 13: Mobile and API Performance Testing - Testing mobile app performance under real network conditions
- Simulating 3G, 4G, 5G, and Wi-Fi variability
- Offline mode behavior under stress
- Push notification timing and delivery under load
- Background sync performance testing
- REST API performance: statelessness, idempotency, cacheability
- GraphQL performance: query complexity and depth
- gRPC performance: binary serialization and streaming
- Webhook delivery reliability under system stress
- Authentication endpoint scalability
- Rate limiting and API throttling effectiveness
- Schema validation overhead in large payloads
- Pagination and filtering performance
- Batch processing APIs under concurrent load
- Asynchronous job polling performance
Module 14: Security and Performance Interactions - Encryption overhead in high-throughput systems
- TLS handshake performance at scale
- Secure cookie handling under load
- WAF impact on response time and error rates
- DDoS protection triggering during legitimate traffic spikes
- Security scanning performance in CI pipelines
- Rate limiting vs account lockout policies
- Session fixation and token refresh patterns
- Performance impact of audit logging
- Cryptography performance in embedded systems
- Compliance scan overhead during peak operations
- Secure file upload performance
- Multi-factor authentication scalability
- Zero-trust architecture latency considerations
- Role-based access control performance at scale
Module 15: Industry-Specific Performance Patterns - Fintech: transaction processing, settlement windows, fraud detection
- Healthcare: patient data retrieval, telemedicine, HL7 interfaces
- E-commerce: cart checkout flows, inventory locking, payment gateways
- Gaming: real-time multiplayer, leaderboards, in-app purchases
- Travel: booking systems, flight availability, seat maps
- Logistics: tracking updates, route calculation, dispatch systems
- Media: video streaming, content delivery, ad insertion
- Education: online exams, proctoring, video lectures
- Government: tax filing, benefit applications, identity verification
- Energy: smart meter data, grid balancing, outage management
- Telecom: call detail records, roaming, SMS delivery
- Retail: point-of-sale systems, inventory sync, loyalty programs
- Automotive: connected car data, firmware updates, navigation
- Insurance: claims processing, underwriting, policy issuance
- Banking: core banking, ATM networks, SWIFT messaging
Module 16: Performance Testing for Microservices Architecture - Service granularity and its performance implications
- Inter-service communication overhead
- API gateway performance under load
- Service mesh performance: sidecar proxy impact
- Circuit breaker performance tuning
- Distributed configuration management latency
- Service discovery performance at scale
- Event-driven architecture and message queue backlogs
- Saga pattern performance in long-running transactions
- Database per service anti-patterns
- Cross-service authentication performance
- Distributed caching strategies
- Consistency vs availability trade-offs under stress
- Testing bounded contexts independently
- End-to-end transaction tracing across services
Module 17: Database Performance Testing - Connection pool sizing and tuning
- Index performance under concurrent read write load
- Query plan stability and parameter sniffing
- Deadlock detection and resolution
- Replication lag under write pressure
- Shard performance imbalance
- Materialized view refresh overhead
- Full-text search performance at scale
- Geospatial query performance
- OLTP vs OLAP workload interference
- Transaction isolation level impact
- Batch operation optimization
- Partitioning strategy performance validation
- Foreign key constraint processing
- Database link and federated query performance
Module 18: Hands-On Implementation Projects - Project 1: End-to-end load test of an e-commerce checkout flow
- Scripting user login, product search, cart add, and payment
- Simulating 10,000 concurrent users during a sale event
- Monitoring application, database, and payment gateway
- Analyzing and reporting on transaction failure patterns
- Project 2: Banking transaction system stress test
- Modeling balance checks, transfers, and statement generation
- Validating consistency during simultaneous withdrawals
- Testing failover to backup data center
- Measuring end-to-end latency under peak load
- Project 3: Healthcare patient record retrieval under surge
- Testing access during emergency response scenarios
- Validating audit logging performance
- Ensuring HIPAA compliance during data access spikes
- Reporting on system resilience and recovery
Module 19: Certification Preparation and Career Advancement - Performance testing certification exam structure
- Key competencies assessed in advanced certification
- Creating a performance testing portfolio
- Documenting project outcomes with metrics
- Building a personal brand in performance engineering
- LinkedIn optimization for performance testing roles
- Preparing for technical interviews
- Common performance testing interview questions
- Handling live system troubleshooting scenarios
- Demonstrating ROI from performance initiatives
- Transitioning from manual to performance testing
- Negotiating salary based on performance expertise
- Joining performance testing communities and forums
- Staying current with emerging trends and tools
- Contribution to open-source performance projects
Module 20: Final Assessment and Certificate of Completion - Comprehensive knowledge assessment: scenario-based questions
- Performance test design challenge
- Analyzing a real-world performance incident
- Creating a sample test strategy document
- Peer review of implementation approach
- Automated feedback on response quality
- Passing criteria: 80% minimum score
- Immediate result notification
- Downloadable Certificate of Completion
- Verification page accessible to employers
- Badge for LinkedIn and professional profiles
- Access to graduate resource library
- Invitation to exclusive alumni network
- Template for performance testing audit
- Next steps: advanced learning paths and mentorship
- The performance testing lifecycle: plan, design, execute, analyze, report
- Capacity planning and performance modeling
- Load, stress, soak, spike, and shift-left testing explained
- Choosing the right testing type for high-stakes systems
- The 5-phase model: requirements, scripting, execution, monitoring, reporting
- Integrating performance testing into agile sprints
- Building a performance test strategy document
- Defining success criteria and pass fail thresholds
- Scenario design for real-world user behavior
- User concurrency modeling and session replication
- Designing tests that simulate flash crowds and peak loads
- Load curves and ramp-up ramp-down patterns
- The importance of test data realism
- Data masking and synthetic dataset creation
- Infrastructure assumptions and environment parity
Module 3: Tooling Ecosystem and Environment Setup - Evaluating open-source vs commercial performance tools
- Apache JMeter: architecture, components, and limitations
- Gatling: strengths for high-concurrency scenarios
- K6: scriptability and cloud integration advantages
- Choosing the right tool based on system architecture
- Setting up distributed load generators for high-volume testing
- Test environment provisioning: containers, VMs, cloud instances
- Docker and Kubernetes for scalable test orchestration
- Network configuration for accurate latency simulation
- Firewall and security group adjustments for test traffic
- Database setup: read replicas, connection pooling, isolation
- Mocking external dependencies and third-party APIs
- Using service virtualization to overcome environment bottlenecks
- Time synchronization across distributed nodes
- Log collection and correlation strategies
Module 4: Test Scripting and Scenario Engineering - Scripting best practices: maintainability, reusability, readability
- Modular test design: breaking down complex user journeys
- Parameterization and dynamic variable injection
- Managing authentication: sessions, tokens, OAuth flows
- Handling CSRF tokens and anti-bot mechanisms
- Think time, pacing, and realistic user delays
- Correlation: extracting and reusing dynamic values
- Assertion design: validating responses under load
- Checksum validation and payload verification
- Error handling and conditional logic in test scripts
- Test data rotation and input variation
- Using CSV and JSON files for data-driven testing
- Randomization strategies to avoid caching artifacts
- Simulating geographically distributed users
- Mobile-specific considerations: intermittent connectivity, smaller payloads
Module 5: Execution Strategies for Mission-Critical Systems - Test execution checklist: pre-run validation
- Environment health checks before test starts
- Monitoring tool integration during execution
- Control groups and canary testing approaches
- Executing tests during off-peak hours vs production mirroring
- Scheduled vs on-demand execution workflows
- Automated trigger conditions based on system state
- Handling test interruptions and graceful shutdowns
- Recovery procedures after failed test runs
- Parallel vs sequential test execution
- Resource allocation for load generators
- Garbage collection tuning for test agents
- Thread management and connection limits
- Handling memory leaks in test tools
- Execution logging and audit trails
Module 6: Real-Time Monitoring and Infrastructure Telemetry - Key monitoring layers: application, database, network, OS
- Instrumenting applications for performance visibility
- APM tools: Dynatrace, AppDynamics, New Relic
- Log aggregation with ELK, Splunk, or Datadog
- Metrics collection with Prometheus and Grafana
- Database performance monitoring: slow queries, locks, waits
- Identifying CPU, memory, disk, and network bottlenecks
- Monitoring thread pools and connection saturation
- Garbage collection metrics and JVM tuning
- Microservice tracing with OpenTelemetry
- Service mesh visibility: Istio, Linkerd
- Cloud provider monitoring: AWS CloudWatch, GCP Operations, Azure Monitor
- Queue depth and message processing latency
- Caching layer performance: Redis, Memcached
- CDN and edge performance analysis
Module 7: Performance Bottleneck Identification and Root Cause Analysis - The 5-layer bottleneck model: client, network, server, database, storage
- Top-down vs bottom-up analysis approaches
- Using response time decomposition to isolate delays
- Identifying serialization bottlenecks
- Thread contention and CPU spinning detection
- Database connection pool exhaustion
- Deadlock and race condition identification
- Memory leak detection and heap dump analysis
- Disk I O and storage latency patterns
- Network latency, packet loss, and bandwidth saturation
- Slow API chains and cascading failures
- Distributed tracing for cross-service analysis
- HTTP 5xx errors vs 4xx client errors under load
- Caching inefficiencies and cache stampedes
- Contention in shared resources and microservices
Module 8: Results Analysis, Reporting, and Communication - Interpreting performance test output: averages vs percentiles
- Understanding tail latency and its business impact
- Using histograms, heatmaps, and time-series graphs
- Statistical significance in performance data
- Identifying trends across multiple test runs
- Outlier detection and anomaly identification
- Correlating infrastructure metrics with user-facing performance
- Creating executive summaries for non-technical stakeholders
- Generating technical reports for engineering teams
- Visual storytelling with performance dashboards
- Root cause documentation and evidence packaging
- Recommendation prioritization: quick wins vs long-term fixes
- Linking findings to business KPIs
- Presenting findings in incident review meetings
- Building a performance testing knowledge repository
Module 9: Advanced Techniques for Extreme Load Conditions - Modeling flash sales and sudden traffic spikes
- Spike testing: rapid on ramp and off ramp
- Chaos engineering principles applied to performance
- Simulating partial infrastructure outages during load
- Failover and high-availability testing under pressure
- Database failover performance under concurrent load
- Testing autoscaling policies with real demand patterns
- Validating circuit breakers and fallback mechanisms
- Rate limiting and throttling strategies
- Backpressure handling in message queues
- Distributed locking performance under contention
- Idempotency testing in high-throughput systems
- Eventual consistency verification under load
- Testing bulk data ingestion pipelines
- Large file upload and download performance
Module 10: Soak Testing and Long-Running Stability - The purpose of extended duration testing
- Detecting memory leaks over time
- Thread and connection pool degradation
- Log file growth and disk space exhaustion
- Scheduled job interference under continuous load
- Garbage collection frequency and pause times
- Database index fragmentation and query plan changes
- Connection timeout and reset behaviors
- Session state persistence in distributed systems
- Cache coherence in clustered environments
- Monitoring disk I O patterns over extended periods
- Power consumption and thermal effects in physical systems
- Defining pass criteria for soak tests
- Automated anomaly detection in long-running tests
- Reporting strategies for extended test findings
Module 11: Performance in CI CD and Shift-Left Testing - Integrating performance tests into pull request workflows
- Baseline comparison and regression detection
- Setting performance gates in deployment pipelines
- Threshold-based automatic test failure
- Parallel execution in CI environments
- Resource constraints in CI runners
- Using lightweight performance smoke tests
- Differentiating between smoke, regression, and full-scale tests
- Reporting integration with Jira and Azure DevOps
- Automated performance test scheduling
- Historical trend analysis in CI
- Flaky test identification and management
- Test result storage and long-term comparison
- Notification systems for performance regressions
- Team accountability and ownership models
Module 12: Cloud-Native Performance Testing - Performance implications of serverless architecture
- Function cold start impact on user experience
- Container startup time and auto-provisioning delays
- Cloud billing models and performance cost optimization
- Region selection and latency trade-offs
- Multi-cloud performance benchmarking
- Edge computing and latency-sensitive workloads
- Stateful vs stateless service performance
- Distributed tracing in hybrid cloud environments
- Cloud cost monitoring during performance tests
- S3 and blob storage performance at scale
- Database-as-a-Service limitations under load
- Cloud-native load testing platforms
- Security and compliance in cloud performance testing
- Scalability testing of managed services
Module 13: Mobile and API Performance Testing - Testing mobile app performance under real network conditions
- Simulating 3G, 4G, 5G, and Wi-Fi variability
- Offline mode behavior under stress
- Push notification timing and delivery under load
- Background sync performance testing
- REST API performance: statelessness, idempotency, cacheability
- GraphQL performance: query complexity and depth
- gRPC performance: binary serialization and streaming
- Webhook delivery reliability under system stress
- Authentication endpoint scalability
- Rate limiting and API throttling effectiveness
- Schema validation overhead in large payloads
- Pagination and filtering performance
- Batch processing APIs under concurrent load
- Asynchronous job polling performance
Module 14: Security and Performance Interactions - Encryption overhead in high-throughput systems
- TLS handshake performance at scale
- Secure cookie handling under load
- WAF impact on response time and error rates
- DDoS protection triggering during legitimate traffic spikes
- Security scanning performance in CI pipelines
- Rate limiting vs account lockout policies
- Session fixation and token refresh patterns
- Performance impact of audit logging
- Cryptography performance in embedded systems
- Compliance scan overhead during peak operations
- Secure file upload performance
- Multi-factor authentication scalability
- Zero-trust architecture latency considerations
- Role-based access control performance at scale
Module 15: Industry-Specific Performance Patterns - Fintech: transaction processing, settlement windows, fraud detection
- Healthcare: patient data retrieval, telemedicine, HL7 interfaces
- E-commerce: cart checkout flows, inventory locking, payment gateways
- Gaming: real-time multiplayer, leaderboards, in-app purchases
- Travel: booking systems, flight availability, seat maps
- Logistics: tracking updates, route calculation, dispatch systems
- Media: video streaming, content delivery, ad insertion
- Education: online exams, proctoring, video lectures
- Government: tax filing, benefit applications, identity verification
- Energy: smart meter data, grid balancing, outage management
- Telecom: call detail records, roaming, SMS delivery
- Retail: point-of-sale systems, inventory sync, loyalty programs
- Automotive: connected car data, firmware updates, navigation
- Insurance: claims processing, underwriting, policy issuance
- Banking: core banking, ATM networks, SWIFT messaging
Module 16: Performance Testing for Microservices Architecture - Service granularity and its performance implications
- Inter-service communication overhead
- API gateway performance under load
- Service mesh performance: sidecar proxy impact
- Circuit breaker performance tuning
- Distributed configuration management latency
- Service discovery performance at scale
- Event-driven architecture and message queue backlogs
- Saga pattern performance in long-running transactions
- Database per service anti-patterns
- Cross-service authentication performance
- Distributed caching strategies
- Consistency vs availability trade-offs under stress
- Testing bounded contexts independently
- End-to-end transaction tracing across services
Module 17: Database Performance Testing - Connection pool sizing and tuning
- Index performance under concurrent read write load
- Query plan stability and parameter sniffing
- Deadlock detection and resolution
- Replication lag under write pressure
- Shard performance imbalance
- Materialized view refresh overhead
- Full-text search performance at scale
- Geospatial query performance
- OLTP vs OLAP workload interference
- Transaction isolation level impact
- Batch operation optimization
- Partitioning strategy performance validation
- Foreign key constraint processing
- Database link and federated query performance
Module 18: Hands-On Implementation Projects - Project 1: End-to-end load test of an e-commerce checkout flow
- Scripting user login, product search, cart add, and payment
- Simulating 10,000 concurrent users during a sale event
- Monitoring application, database, and payment gateway
- Analyzing and reporting on transaction failure patterns
- Project 2: Banking transaction system stress test
- Modeling balance checks, transfers, and statement generation
- Validating consistency during simultaneous withdrawals
- Testing failover to backup data center
- Measuring end-to-end latency under peak load
- Project 3: Healthcare patient record retrieval under surge
- Testing access during emergency response scenarios
- Validating audit logging performance
- Ensuring HIPAA compliance during data access spikes
- Reporting on system resilience and recovery
Module 19: Certification Preparation and Career Advancement - Performance testing certification exam structure
- Key competencies assessed in advanced certification
- Creating a performance testing portfolio
- Documenting project outcomes with metrics
- Building a personal brand in performance engineering
- LinkedIn optimization for performance testing roles
- Preparing for technical interviews
- Common performance testing interview questions
- Handling live system troubleshooting scenarios
- Demonstrating ROI from performance initiatives
- Transitioning from manual to performance testing
- Negotiating salary based on performance expertise
- Joining performance testing communities and forums
- Staying current with emerging trends and tools
- Contribution to open-source performance projects
Module 20: Final Assessment and Certificate of Completion - Comprehensive knowledge assessment: scenario-based questions
- Performance test design challenge
- Analyzing a real-world performance incident
- Creating a sample test strategy document
- Peer review of implementation approach
- Automated feedback on response quality
- Passing criteria: 80% minimum score
- Immediate result notification
- Downloadable Certificate of Completion
- Verification page accessible to employers
- Badge for LinkedIn and professional profiles
- Access to graduate resource library
- Invitation to exclusive alumni network
- Template for performance testing audit
- Next steps: advanced learning paths and mentorship
- Scripting best practices: maintainability, reusability, readability
- Modular test design: breaking down complex user journeys
- Parameterization and dynamic variable injection
- Managing authentication: sessions, tokens, OAuth flows
- Handling CSRF tokens and anti-bot mechanisms
- Think time, pacing, and realistic user delays
- Correlation: extracting and reusing dynamic values
- Assertion design: validating responses under load
- Checksum validation and payload verification
- Error handling and conditional logic in test scripts
- Test data rotation and input variation
- Using CSV and JSON files for data-driven testing
- Randomization strategies to avoid caching artifacts
- Simulating geographically distributed users
- Mobile-specific considerations: intermittent connectivity, smaller payloads
Module 5: Execution Strategies for Mission-Critical Systems - Test execution checklist: pre-run validation
- Environment health checks before test starts
- Monitoring tool integration during execution
- Control groups and canary testing approaches
- Executing tests during off-peak hours vs production mirroring
- Scheduled vs on-demand execution workflows
- Automated trigger conditions based on system state
- Handling test interruptions and graceful shutdowns
- Recovery procedures after failed test runs
- Parallel vs sequential test execution
- Resource allocation for load generators
- Garbage collection tuning for test agents
- Thread management and connection limits
- Handling memory leaks in test tools
- Execution logging and audit trails
Module 6: Real-Time Monitoring and Infrastructure Telemetry - Key monitoring layers: application, database, network, OS
- Instrumenting applications for performance visibility
- APM tools: Dynatrace, AppDynamics, New Relic
- Log aggregation with ELK, Splunk, or Datadog
- Metrics collection with Prometheus and Grafana
- Database performance monitoring: slow queries, locks, waits
- Identifying CPU, memory, disk, and network bottlenecks
- Monitoring thread pools and connection saturation
- Garbage collection metrics and JVM tuning
- Microservice tracing with OpenTelemetry
- Service mesh visibility: Istio, Linkerd
- Cloud provider monitoring: AWS CloudWatch, GCP Operations, Azure Monitor
- Queue depth and message processing latency
- Caching layer performance: Redis, Memcached
- CDN and edge performance analysis
Module 7: Performance Bottleneck Identification and Root Cause Analysis - The 5-layer bottleneck model: client, network, server, database, storage
- Top-down vs bottom-up analysis approaches
- Using response time decomposition to isolate delays
- Identifying serialization bottlenecks
- Thread contention and CPU spinning detection
- Database connection pool exhaustion
- Deadlock and race condition identification
- Memory leak detection and heap dump analysis
- Disk I O and storage latency patterns
- Network latency, packet loss, and bandwidth saturation
- Slow API chains and cascading failures
- Distributed tracing for cross-service analysis
- HTTP 5xx errors vs 4xx client errors under load
- Caching inefficiencies and cache stampedes
- Contention in shared resources and microservices
Module 8: Results Analysis, Reporting, and Communication - Interpreting performance test output: averages vs percentiles
- Understanding tail latency and its business impact
- Using histograms, heatmaps, and time-series graphs
- Statistical significance in performance data
- Identifying trends across multiple test runs
- Outlier detection and anomaly identification
- Correlating infrastructure metrics with user-facing performance
- Creating executive summaries for non-technical stakeholders
- Generating technical reports for engineering teams
- Visual storytelling with performance dashboards
- Root cause documentation and evidence packaging
- Recommendation prioritization: quick wins vs long-term fixes
- Linking findings to business KPIs
- Presenting findings in incident review meetings
- Building a performance testing knowledge repository
Module 9: Advanced Techniques for Extreme Load Conditions - Modeling flash sales and sudden traffic spikes
- Spike testing: rapid on ramp and off ramp
- Chaos engineering principles applied to performance
- Simulating partial infrastructure outages during load
- Failover and high-availability testing under pressure
- Database failover performance under concurrent load
- Testing autoscaling policies with real demand patterns
- Validating circuit breakers and fallback mechanisms
- Rate limiting and throttling strategies
- Backpressure handling in message queues
- Distributed locking performance under contention
- Idempotency testing in high-throughput systems
- Eventual consistency verification under load
- Testing bulk data ingestion pipelines
- Large file upload and download performance
Module 10: Soak Testing and Long-Running Stability - The purpose of extended duration testing
- Detecting memory leaks over time
- Thread and connection pool degradation
- Log file growth and disk space exhaustion
- Scheduled job interference under continuous load
- Garbage collection frequency and pause times
- Database index fragmentation and query plan changes
- Connection timeout and reset behaviors
- Session state persistence in distributed systems
- Cache coherence in clustered environments
- Monitoring disk I O patterns over extended periods
- Power consumption and thermal effects in physical systems
- Defining pass criteria for soak tests
- Automated anomaly detection in long-running tests
- Reporting strategies for extended test findings
Module 11: Performance in CI CD and Shift-Left Testing - Integrating performance tests into pull request workflows
- Baseline comparison and regression detection
- Setting performance gates in deployment pipelines
- Threshold-based automatic test failure
- Parallel execution in CI environments
- Resource constraints in CI runners
- Using lightweight performance smoke tests
- Differentiating between smoke, regression, and full-scale tests
- Reporting integration with Jira and Azure DevOps
- Automated performance test scheduling
- Historical trend analysis in CI
- Flaky test identification and management
- Test result storage and long-term comparison
- Notification systems for performance regressions
- Team accountability and ownership models
Module 12: Cloud-Native Performance Testing - Performance implications of serverless architecture
- Function cold start impact on user experience
- Container startup time and auto-provisioning delays
- Cloud billing models and performance cost optimization
- Region selection and latency trade-offs
- Multi-cloud performance benchmarking
- Edge computing and latency-sensitive workloads
- Stateful vs stateless service performance
- Distributed tracing in hybrid cloud environments
- Cloud cost monitoring during performance tests
- S3 and blob storage performance at scale
- Database-as-a-Service limitations under load
- Cloud-native load testing platforms
- Security and compliance in cloud performance testing
- Scalability testing of managed services
Module 13: Mobile and API Performance Testing - Testing mobile app performance under real network conditions
- Simulating 3G, 4G, 5G, and Wi-Fi variability
- Offline mode behavior under stress
- Push notification timing and delivery under load
- Background sync performance testing
- REST API performance: statelessness, idempotency, cacheability
- GraphQL performance: query complexity and depth
- gRPC performance: binary serialization and streaming
- Webhook delivery reliability under system stress
- Authentication endpoint scalability
- Rate limiting and API throttling effectiveness
- Schema validation overhead in large payloads
- Pagination and filtering performance
- Batch processing APIs under concurrent load
- Asynchronous job polling performance
Module 14: Security and Performance Interactions - Encryption overhead in high-throughput systems
- TLS handshake performance at scale
- Secure cookie handling under load
- WAF impact on response time and error rates
- DDoS protection triggering during legitimate traffic spikes
- Security scanning performance in CI pipelines
- Rate limiting vs account lockout policies
- Session fixation and token refresh patterns
- Performance impact of audit logging
- Cryptography performance in embedded systems
- Compliance scan overhead during peak operations
- Secure file upload performance
- Multi-factor authentication scalability
- Zero-trust architecture latency considerations
- Role-based access control performance at scale
Module 15: Industry-Specific Performance Patterns - Fintech: transaction processing, settlement windows, fraud detection
- Healthcare: patient data retrieval, telemedicine, HL7 interfaces
- E-commerce: cart checkout flows, inventory locking, payment gateways
- Gaming: real-time multiplayer, leaderboards, in-app purchases
- Travel: booking systems, flight availability, seat maps
- Logistics: tracking updates, route calculation, dispatch systems
- Media: video streaming, content delivery, ad insertion
- Education: online exams, proctoring, video lectures
- Government: tax filing, benefit applications, identity verification
- Energy: smart meter data, grid balancing, outage management
- Telecom: call detail records, roaming, SMS delivery
- Retail: point-of-sale systems, inventory sync, loyalty programs
- Automotive: connected car data, firmware updates, navigation
- Insurance: claims processing, underwriting, policy issuance
- Banking: core banking, ATM networks, SWIFT messaging
Module 16: Performance Testing for Microservices Architecture - Service granularity and its performance implications
- Inter-service communication overhead
- API gateway performance under load
- Service mesh performance: sidecar proxy impact
- Circuit breaker performance tuning
- Distributed configuration management latency
- Service discovery performance at scale
- Event-driven architecture and message queue backlogs
- Saga pattern performance in long-running transactions
- Database per service anti-patterns
- Cross-service authentication performance
- Distributed caching strategies
- Consistency vs availability trade-offs under stress
- Testing bounded contexts independently
- End-to-end transaction tracing across services
Module 17: Database Performance Testing - Connection pool sizing and tuning
- Index performance under concurrent read write load
- Query plan stability and parameter sniffing
- Deadlock detection and resolution
- Replication lag under write pressure
- Shard performance imbalance
- Materialized view refresh overhead
- Full-text search performance at scale
- Geospatial query performance
- OLTP vs OLAP workload interference
- Transaction isolation level impact
- Batch operation optimization
- Partitioning strategy performance validation
- Foreign key constraint processing
- Database link and federated query performance
Module 18: Hands-On Implementation Projects - Project 1: End-to-end load test of an e-commerce checkout flow
- Scripting user login, product search, cart add, and payment
- Simulating 10,000 concurrent users during a sale event
- Monitoring application, database, and payment gateway
- Analyzing and reporting on transaction failure patterns
- Project 2: Banking transaction system stress test
- Modeling balance checks, transfers, and statement generation
- Validating consistency during simultaneous withdrawals
- Testing failover to backup data center
- Measuring end-to-end latency under peak load
- Project 3: Healthcare patient record retrieval under surge
- Testing access during emergency response scenarios
- Validating audit logging performance
- Ensuring HIPAA compliance during data access spikes
- Reporting on system resilience and recovery
Module 19: Certification Preparation and Career Advancement - Performance testing certification exam structure
- Key competencies assessed in advanced certification
- Creating a performance testing portfolio
- Documenting project outcomes with metrics
- Building a personal brand in performance engineering
- LinkedIn optimization for performance testing roles
- Preparing for technical interviews
- Common performance testing interview questions
- Handling live system troubleshooting scenarios
- Demonstrating ROI from performance initiatives
- Transitioning from manual to performance testing
- Negotiating salary based on performance expertise
- Joining performance testing communities and forums
- Staying current with emerging trends and tools
- Contribution to open-source performance projects
Module 20: Final Assessment and Certificate of Completion - Comprehensive knowledge assessment: scenario-based questions
- Performance test design challenge
- Analyzing a real-world performance incident
- Creating a sample test strategy document
- Peer review of implementation approach
- Automated feedback on response quality
- Passing criteria: 80% minimum score
- Immediate result notification
- Downloadable Certificate of Completion
- Verification page accessible to employers
- Badge for LinkedIn and professional profiles
- Access to graduate resource library
- Invitation to exclusive alumni network
- Template for performance testing audit
- Next steps: advanced learning paths and mentorship
- Key monitoring layers: application, database, network, OS
- Instrumenting applications for performance visibility
- APM tools: Dynatrace, AppDynamics, New Relic
- Log aggregation with ELK, Splunk, or Datadog
- Metrics collection with Prometheus and Grafana
- Database performance monitoring: slow queries, locks, waits
- Identifying CPU, memory, disk, and network bottlenecks
- Monitoring thread pools and connection saturation
- Garbage collection metrics and JVM tuning
- Microservice tracing with OpenTelemetry
- Service mesh visibility: Istio, Linkerd
- Cloud provider monitoring: AWS CloudWatch, GCP Operations, Azure Monitor
- Queue depth and message processing latency
- Caching layer performance: Redis, Memcached
- CDN and edge performance analysis
Module 7: Performance Bottleneck Identification and Root Cause Analysis - The 5-layer bottleneck model: client, network, server, database, storage
- Top-down vs bottom-up analysis approaches
- Using response time decomposition to isolate delays
- Identifying serialization bottlenecks
- Thread contention and CPU spinning detection
- Database connection pool exhaustion
- Deadlock and race condition identification
- Memory leak detection and heap dump analysis
- Disk I O and storage latency patterns
- Network latency, packet loss, and bandwidth saturation
- Slow API chains and cascading failures
- Distributed tracing for cross-service analysis
- HTTP 5xx errors vs 4xx client errors under load
- Caching inefficiencies and cache stampedes
- Contention in shared resources and microservices
Module 8: Results Analysis, Reporting, and Communication - Interpreting performance test output: averages vs percentiles
- Understanding tail latency and its business impact
- Using histograms, heatmaps, and time-series graphs
- Statistical significance in performance data
- Identifying trends across multiple test runs
- Outlier detection and anomaly identification
- Correlating infrastructure metrics with user-facing performance
- Creating executive summaries for non-technical stakeholders
- Generating technical reports for engineering teams
- Visual storytelling with performance dashboards
- Root cause documentation and evidence packaging
- Recommendation prioritization: quick wins vs long-term fixes
- Linking findings to business KPIs
- Presenting findings in incident review meetings
- Building a performance testing knowledge repository
Module 9: Advanced Techniques for Extreme Load Conditions - Modeling flash sales and sudden traffic spikes
- Spike testing: rapid on ramp and off ramp
- Chaos engineering principles applied to performance
- Simulating partial infrastructure outages during load
- Failover and high-availability testing under pressure
- Database failover performance under concurrent load
- Testing autoscaling policies with real demand patterns
- Validating circuit breakers and fallback mechanisms
- Rate limiting and throttling strategies
- Backpressure handling in message queues
- Distributed locking performance under contention
- Idempotency testing in high-throughput systems
- Eventual consistency verification under load
- Testing bulk data ingestion pipelines
- Large file upload and download performance
Module 10: Soak Testing and Long-Running Stability - The purpose of extended duration testing
- Detecting memory leaks over time
- Thread and connection pool degradation
- Log file growth and disk space exhaustion
- Scheduled job interference under continuous load
- Garbage collection frequency and pause times
- Database index fragmentation and query plan changes
- Connection timeout and reset behaviors
- Session state persistence in distributed systems
- Cache coherence in clustered environments
- Monitoring disk I O patterns over extended periods
- Power consumption and thermal effects in physical systems
- Defining pass criteria for soak tests
- Automated anomaly detection in long-running tests
- Reporting strategies for extended test findings
Module 11: Performance in CI CD and Shift-Left Testing - Integrating performance tests into pull request workflows
- Baseline comparison and regression detection
- Setting performance gates in deployment pipelines
- Threshold-based automatic test failure
- Parallel execution in CI environments
- Resource constraints in CI runners
- Using lightweight performance smoke tests
- Differentiating between smoke, regression, and full-scale tests
- Reporting integration with Jira and Azure DevOps
- Automated performance test scheduling
- Historical trend analysis in CI
- Flaky test identification and management
- Test result storage and long-term comparison
- Notification systems for performance regressions
- Team accountability and ownership models
Module 12: Cloud-Native Performance Testing - Performance implications of serverless architecture
- Function cold start impact on user experience
- Container startup time and auto-provisioning delays
- Cloud billing models and performance cost optimization
- Region selection and latency trade-offs
- Multi-cloud performance benchmarking
- Edge computing and latency-sensitive workloads
- Stateful vs stateless service performance
- Distributed tracing in hybrid cloud environments
- Cloud cost monitoring during performance tests
- S3 and blob storage performance at scale
- Database-as-a-Service limitations under load
- Cloud-native load testing platforms
- Security and compliance in cloud performance testing
- Scalability testing of managed services
Module 13: Mobile and API Performance Testing - Testing mobile app performance under real network conditions
- Simulating 3G, 4G, 5G, and Wi-Fi variability
- Offline mode behavior under stress
- Push notification timing and delivery under load
- Background sync performance testing
- REST API performance: statelessness, idempotency, cacheability
- GraphQL performance: query complexity and depth
- gRPC performance: binary serialization and streaming
- Webhook delivery reliability under system stress
- Authentication endpoint scalability
- Rate limiting and API throttling effectiveness
- Schema validation overhead in large payloads
- Pagination and filtering performance
- Batch processing APIs under concurrent load
- Asynchronous job polling performance
Module 14: Security and Performance Interactions - Encryption overhead in high-throughput systems
- TLS handshake performance at scale
- Secure cookie handling under load
- WAF impact on response time and error rates
- DDoS protection triggering during legitimate traffic spikes
- Security scanning performance in CI pipelines
- Rate limiting vs account lockout policies
- Session fixation and token refresh patterns
- Performance impact of audit logging
- Cryptography performance in embedded systems
- Compliance scan overhead during peak operations
- Secure file upload performance
- Multi-factor authentication scalability
- Zero-trust architecture latency considerations
- Role-based access control performance at scale
Module 15: Industry-Specific Performance Patterns - Fintech: transaction processing, settlement windows, fraud detection
- Healthcare: patient data retrieval, telemedicine, HL7 interfaces
- E-commerce: cart checkout flows, inventory locking, payment gateways
- Gaming: real-time multiplayer, leaderboards, in-app purchases
- Travel: booking systems, flight availability, seat maps
- Logistics: tracking updates, route calculation, dispatch systems
- Media: video streaming, content delivery, ad insertion
- Education: online exams, proctoring, video lectures
- Government: tax filing, benefit applications, identity verification
- Energy: smart meter data, grid balancing, outage management
- Telecom: call detail records, roaming, SMS delivery
- Retail: point-of-sale systems, inventory sync, loyalty programs
- Automotive: connected car data, firmware updates, navigation
- Insurance: claims processing, underwriting, policy issuance
- Banking: core banking, ATM networks, SWIFT messaging
Module 16: Performance Testing for Microservices Architecture - Service granularity and its performance implications
- Inter-service communication overhead
- API gateway performance under load
- Service mesh performance: sidecar proxy impact
- Circuit breaker performance tuning
- Distributed configuration management latency
- Service discovery performance at scale
- Event-driven architecture and message queue backlogs
- Saga pattern performance in long-running transactions
- Database per service anti-patterns
- Cross-service authentication performance
- Distributed caching strategies
- Consistency vs availability trade-offs under stress
- Testing bounded contexts independently
- End-to-end transaction tracing across services
Module 17: Database Performance Testing - Connection pool sizing and tuning
- Index performance under concurrent read write load
- Query plan stability and parameter sniffing
- Deadlock detection and resolution
- Replication lag under write pressure
- Shard performance imbalance
- Materialized view refresh overhead
- Full-text search performance at scale
- Geospatial query performance
- OLTP vs OLAP workload interference
- Transaction isolation level impact
- Batch operation optimization
- Partitioning strategy performance validation
- Foreign key constraint processing
- Database link and federated query performance
Module 18: Hands-On Implementation Projects - Project 1: End-to-end load test of an e-commerce checkout flow
- Scripting user login, product search, cart add, and payment
- Simulating 10,000 concurrent users during a sale event
- Monitoring application, database, and payment gateway
- Analyzing and reporting on transaction failure patterns
- Project 2: Banking transaction system stress test
- Modeling balance checks, transfers, and statement generation
- Validating consistency during simultaneous withdrawals
- Testing failover to backup data center
- Measuring end-to-end latency under peak load
- Project 3: Healthcare patient record retrieval under surge
- Testing access during emergency response scenarios
- Validating audit logging performance
- Ensuring HIPAA compliance during data access spikes
- Reporting on system resilience and recovery
Module 19: Certification Preparation and Career Advancement - Performance testing certification exam structure
- Key competencies assessed in advanced certification
- Creating a performance testing portfolio
- Documenting project outcomes with metrics
- Building a personal brand in performance engineering
- LinkedIn optimization for performance testing roles
- Preparing for technical interviews
- Common performance testing interview questions
- Handling live system troubleshooting scenarios
- Demonstrating ROI from performance initiatives
- Transitioning from manual to performance testing
- Negotiating salary based on performance expertise
- Joining performance testing communities and forums
- Staying current with emerging trends and tools
- Contribution to open-source performance projects
Module 20: Final Assessment and Certificate of Completion - Comprehensive knowledge assessment: scenario-based questions
- Performance test design challenge
- Analyzing a real-world performance incident
- Creating a sample test strategy document
- Peer review of implementation approach
- Automated feedback on response quality
- Passing criteria: 80% minimum score
- Immediate result notification
- Downloadable Certificate of Completion
- Verification page accessible to employers
- Badge for LinkedIn and professional profiles
- Access to graduate resource library
- Invitation to exclusive alumni network
- Template for performance testing audit
- Next steps: advanced learning paths and mentorship
- Interpreting performance test output: averages vs percentiles
- Understanding tail latency and its business impact
- Using histograms, heatmaps, and time-series graphs
- Statistical significance in performance data
- Identifying trends across multiple test runs
- Outlier detection and anomaly identification
- Correlating infrastructure metrics with user-facing performance
- Creating executive summaries for non-technical stakeholders
- Generating technical reports for engineering teams
- Visual storytelling with performance dashboards
- Root cause documentation and evidence packaging
- Recommendation prioritization: quick wins vs long-term fixes
- Linking findings to business KPIs
- Presenting findings in incident review meetings
- Building a performance testing knowledge repository
Module 9: Advanced Techniques for Extreme Load Conditions - Modeling flash sales and sudden traffic spikes
- Spike testing: rapid on ramp and off ramp
- Chaos engineering principles applied to performance
- Simulating partial infrastructure outages during load
- Failover and high-availability testing under pressure
- Database failover performance under concurrent load
- Testing autoscaling policies with real demand patterns
- Validating circuit breakers and fallback mechanisms
- Rate limiting and throttling strategies
- Backpressure handling in message queues
- Distributed locking performance under contention
- Idempotency testing in high-throughput systems
- Eventual consistency verification under load
- Testing bulk data ingestion pipelines
- Large file upload and download performance
Module 10: Soak Testing and Long-Running Stability - The purpose of extended duration testing
- Detecting memory leaks over time
- Thread and connection pool degradation
- Log file growth and disk space exhaustion
- Scheduled job interference under continuous load
- Garbage collection frequency and pause times
- Database index fragmentation and query plan changes
- Connection timeout and reset behaviors
- Session state persistence in distributed systems
- Cache coherence in clustered environments
- Monitoring disk I O patterns over extended periods
- Power consumption and thermal effects in physical systems
- Defining pass criteria for soak tests
- Automated anomaly detection in long-running tests
- Reporting strategies for extended test findings
Module 11: Performance in CI CD and Shift-Left Testing - Integrating performance tests into pull request workflows
- Baseline comparison and regression detection
- Setting performance gates in deployment pipelines
- Threshold-based automatic test failure
- Parallel execution in CI environments
- Resource constraints in CI runners
- Using lightweight performance smoke tests
- Differentiating between smoke, regression, and full-scale tests
- Reporting integration with Jira and Azure DevOps
- Automated performance test scheduling
- Historical trend analysis in CI
- Flaky test identification and management
- Test result storage and long-term comparison
- Notification systems for performance regressions
- Team accountability and ownership models
Module 12: Cloud-Native Performance Testing - Performance implications of serverless architecture
- Function cold start impact on user experience
- Container startup time and auto-provisioning delays
- Cloud billing models and performance cost optimization
- Region selection and latency trade-offs
- Multi-cloud performance benchmarking
- Edge computing and latency-sensitive workloads
- Stateful vs stateless service performance
- Distributed tracing in hybrid cloud environments
- Cloud cost monitoring during performance tests
- S3 and blob storage performance at scale
- Database-as-a-Service limitations under load
- Cloud-native load testing platforms
- Security and compliance in cloud performance testing
- Scalability testing of managed services
Module 13: Mobile and API Performance Testing - Testing mobile app performance under real network conditions
- Simulating 3G, 4G, 5G, and Wi-Fi variability
- Offline mode behavior under stress
- Push notification timing and delivery under load
- Background sync performance testing
- REST API performance: statelessness, idempotency, cacheability
- GraphQL performance: query complexity and depth
- gRPC performance: binary serialization and streaming
- Webhook delivery reliability under system stress
- Authentication endpoint scalability
- Rate limiting and API throttling effectiveness
- Schema validation overhead in large payloads
- Pagination and filtering performance
- Batch processing APIs under concurrent load
- Asynchronous job polling performance
Module 14: Security and Performance Interactions - Encryption overhead in high-throughput systems
- TLS handshake performance at scale
- Secure cookie handling under load
- WAF impact on response time and error rates
- DDoS protection triggering during legitimate traffic spikes
- Security scanning performance in CI pipelines
- Rate limiting vs account lockout policies
- Session fixation and token refresh patterns
- Performance impact of audit logging
- Cryptography performance in embedded systems
- Compliance scan overhead during peak operations
- Secure file upload performance
- Multi-factor authentication scalability
- Zero-trust architecture latency considerations
- Role-based access control performance at scale
Module 15: Industry-Specific Performance Patterns - Fintech: transaction processing, settlement windows, fraud detection
- Healthcare: patient data retrieval, telemedicine, HL7 interfaces
- E-commerce: cart checkout flows, inventory locking, payment gateways
- Gaming: real-time multiplayer, leaderboards, in-app purchases
- Travel: booking systems, flight availability, seat maps
- Logistics: tracking updates, route calculation, dispatch systems
- Media: video streaming, content delivery, ad insertion
- Education: online exams, proctoring, video lectures
- Government: tax filing, benefit applications, identity verification
- Energy: smart meter data, grid balancing, outage management
- Telecom: call detail records, roaming, SMS delivery
- Retail: point-of-sale systems, inventory sync, loyalty programs
- Automotive: connected car data, firmware updates, navigation
- Insurance: claims processing, underwriting, policy issuance
- Banking: core banking, ATM networks, SWIFT messaging
Module 16: Performance Testing for Microservices Architecture - Service granularity and its performance implications
- Inter-service communication overhead
- API gateway performance under load
- Service mesh performance: sidecar proxy impact
- Circuit breaker performance tuning
- Distributed configuration management latency
- Service discovery performance at scale
- Event-driven architecture and message queue backlogs
- Saga pattern performance in long-running transactions
- Database per service anti-patterns
- Cross-service authentication performance
- Distributed caching strategies
- Consistency vs availability trade-offs under stress
- Testing bounded contexts independently
- End-to-end transaction tracing across services
Module 17: Database Performance Testing - Connection pool sizing and tuning
- Index performance under concurrent read write load
- Query plan stability and parameter sniffing
- Deadlock detection and resolution
- Replication lag under write pressure
- Shard performance imbalance
- Materialized view refresh overhead
- Full-text search performance at scale
- Geospatial query performance
- OLTP vs OLAP workload interference
- Transaction isolation level impact
- Batch operation optimization
- Partitioning strategy performance validation
- Foreign key constraint processing
- Database link and federated query performance
Module 18: Hands-On Implementation Projects - Project 1: End-to-end load test of an e-commerce checkout flow
- Scripting user login, product search, cart add, and payment
- Simulating 10,000 concurrent users during a sale event
- Monitoring application, database, and payment gateway
- Analyzing and reporting on transaction failure patterns
- Project 2: Banking transaction system stress test
- Modeling balance checks, transfers, and statement generation
- Validating consistency during simultaneous withdrawals
- Testing failover to backup data center
- Measuring end-to-end latency under peak load
- Project 3: Healthcare patient record retrieval under surge
- Testing access during emergency response scenarios
- Validating audit logging performance
- Ensuring HIPAA compliance during data access spikes
- Reporting on system resilience and recovery
Module 19: Certification Preparation and Career Advancement - Performance testing certification exam structure
- Key competencies assessed in advanced certification
- Creating a performance testing portfolio
- Documenting project outcomes with metrics
- Building a personal brand in performance engineering
- LinkedIn optimization for performance testing roles
- Preparing for technical interviews
- Common performance testing interview questions
- Handling live system troubleshooting scenarios
- Demonstrating ROI from performance initiatives
- Transitioning from manual to performance testing
- Negotiating salary based on performance expertise
- Joining performance testing communities and forums
- Staying current with emerging trends and tools
- Contribution to open-source performance projects
Module 20: Final Assessment and Certificate of Completion - Comprehensive knowledge assessment: scenario-based questions
- Performance test design challenge
- Analyzing a real-world performance incident
- Creating a sample test strategy document
- Peer review of implementation approach
- Automated feedback on response quality
- Passing criteria: 80% minimum score
- Immediate result notification
- Downloadable Certificate of Completion
- Verification page accessible to employers
- Badge for LinkedIn and professional profiles
- Access to graduate resource library
- Invitation to exclusive alumni network
- Template for performance testing audit
- Next steps: advanced learning paths and mentorship
- The purpose of extended duration testing
- Detecting memory leaks over time
- Thread and connection pool degradation
- Log file growth and disk space exhaustion
- Scheduled job interference under continuous load
- Garbage collection frequency and pause times
- Database index fragmentation and query plan changes
- Connection timeout and reset behaviors
- Session state persistence in distributed systems
- Cache coherence in clustered environments
- Monitoring disk I O patterns over extended periods
- Power consumption and thermal effects in physical systems
- Defining pass criteria for soak tests
- Automated anomaly detection in long-running tests
- Reporting strategies for extended test findings
Module 11: Performance in CI CD and Shift-Left Testing - Integrating performance tests into pull request workflows
- Baseline comparison and regression detection
- Setting performance gates in deployment pipelines
- Threshold-based automatic test failure
- Parallel execution in CI environments
- Resource constraints in CI runners
- Using lightweight performance smoke tests
- Differentiating between smoke, regression, and full-scale tests
- Reporting integration with Jira and Azure DevOps
- Automated performance test scheduling
- Historical trend analysis in CI
- Flaky test identification and management
- Test result storage and long-term comparison
- Notification systems for performance regressions
- Team accountability and ownership models
Module 12: Cloud-Native Performance Testing - Performance implications of serverless architecture
- Function cold start impact on user experience
- Container startup time and auto-provisioning delays
- Cloud billing models and performance cost optimization
- Region selection and latency trade-offs
- Multi-cloud performance benchmarking
- Edge computing and latency-sensitive workloads
- Stateful vs stateless service performance
- Distributed tracing in hybrid cloud environments
- Cloud cost monitoring during performance tests
- S3 and blob storage performance at scale
- Database-as-a-Service limitations under load
- Cloud-native load testing platforms
- Security and compliance in cloud performance testing
- Scalability testing of managed services
Module 13: Mobile and API Performance Testing - Testing mobile app performance under real network conditions
- Simulating 3G, 4G, 5G, and Wi-Fi variability
- Offline mode behavior under stress
- Push notification timing and delivery under load
- Background sync performance testing
- REST API performance: statelessness, idempotency, cacheability
- GraphQL performance: query complexity and depth
- gRPC performance: binary serialization and streaming
- Webhook delivery reliability under system stress
- Authentication endpoint scalability
- Rate limiting and API throttling effectiveness
- Schema validation overhead in large payloads
- Pagination and filtering performance
- Batch processing APIs under concurrent load
- Asynchronous job polling performance
Module 14: Security and Performance Interactions - Encryption overhead in high-throughput systems
- TLS handshake performance at scale
- Secure cookie handling under load
- WAF impact on response time and error rates
- DDoS protection triggering during legitimate traffic spikes
- Security scanning performance in CI pipelines
- Rate limiting vs account lockout policies
- Session fixation and token refresh patterns
- Performance impact of audit logging
- Cryptography performance in embedded systems
- Compliance scan overhead during peak operations
- Secure file upload performance
- Multi-factor authentication scalability
- Zero-trust architecture latency considerations
- Role-based access control performance at scale
Module 15: Industry-Specific Performance Patterns - Fintech: transaction processing, settlement windows, fraud detection
- Healthcare: patient data retrieval, telemedicine, HL7 interfaces
- E-commerce: cart checkout flows, inventory locking, payment gateways
- Gaming: real-time multiplayer, leaderboards, in-app purchases
- Travel: booking systems, flight availability, seat maps
- Logistics: tracking updates, route calculation, dispatch systems
- Media: video streaming, content delivery, ad insertion
- Education: online exams, proctoring, video lectures
- Government: tax filing, benefit applications, identity verification
- Energy: smart meter data, grid balancing, outage management
- Telecom: call detail records, roaming, SMS delivery
- Retail: point-of-sale systems, inventory sync, loyalty programs
- Automotive: connected car data, firmware updates, navigation
- Insurance: claims processing, underwriting, policy issuance
- Banking: core banking, ATM networks, SWIFT messaging
Module 16: Performance Testing for Microservices Architecture - Service granularity and its performance implications
- Inter-service communication overhead
- API gateway performance under load
- Service mesh performance: sidecar proxy impact
- Circuit breaker performance tuning
- Distributed configuration management latency
- Service discovery performance at scale
- Event-driven architecture and message queue backlogs
- Saga pattern performance in long-running transactions
- Database per service anti-patterns
- Cross-service authentication performance
- Distributed caching strategies
- Consistency vs availability trade-offs under stress
- Testing bounded contexts independently
- End-to-end transaction tracing across services
Module 17: Database Performance Testing - Connection pool sizing and tuning
- Index performance under concurrent read write load
- Query plan stability and parameter sniffing
- Deadlock detection and resolution
- Replication lag under write pressure
- Shard performance imbalance
- Materialized view refresh overhead
- Full-text search performance at scale
- Geospatial query performance
- OLTP vs OLAP workload interference
- Transaction isolation level impact
- Batch operation optimization
- Partitioning strategy performance validation
- Foreign key constraint processing
- Database link and federated query performance
Module 18: Hands-On Implementation Projects - Project 1: End-to-end load test of an e-commerce checkout flow
- Scripting user login, product search, cart add, and payment
- Simulating 10,000 concurrent users during a sale event
- Monitoring application, database, and payment gateway
- Analyzing and reporting on transaction failure patterns
- Project 2: Banking transaction system stress test
- Modeling balance checks, transfers, and statement generation
- Validating consistency during simultaneous withdrawals
- Testing failover to backup data center
- Measuring end-to-end latency under peak load
- Project 3: Healthcare patient record retrieval under surge
- Testing access during emergency response scenarios
- Validating audit logging performance
- Ensuring HIPAA compliance during data access spikes
- Reporting on system resilience and recovery
Module 19: Certification Preparation and Career Advancement - Performance testing certification exam structure
- Key competencies assessed in advanced certification
- Creating a performance testing portfolio
- Documenting project outcomes with metrics
- Building a personal brand in performance engineering
- LinkedIn optimization for performance testing roles
- Preparing for technical interviews
- Common performance testing interview questions
- Handling live system troubleshooting scenarios
- Demonstrating ROI from performance initiatives
- Transitioning from manual to performance testing
- Negotiating salary based on performance expertise
- Joining performance testing communities and forums
- Staying current with emerging trends and tools
- Contribution to open-source performance projects
Module 20: Final Assessment and Certificate of Completion - Comprehensive knowledge assessment: scenario-based questions
- Performance test design challenge
- Analyzing a real-world performance incident
- Creating a sample test strategy document
- Peer review of implementation approach
- Automated feedback on response quality
- Passing criteria: 80% minimum score
- Immediate result notification
- Downloadable Certificate of Completion
- Verification page accessible to employers
- Badge for LinkedIn and professional profiles
- Access to graduate resource library
- Invitation to exclusive alumni network
- Template for performance testing audit
- Next steps: advanced learning paths and mentorship
- Performance implications of serverless architecture
- Function cold start impact on user experience
- Container startup time and auto-provisioning delays
- Cloud billing models and performance cost optimization
- Region selection and latency trade-offs
- Multi-cloud performance benchmarking
- Edge computing and latency-sensitive workloads
- Stateful vs stateless service performance
- Distributed tracing in hybrid cloud environments
- Cloud cost monitoring during performance tests
- S3 and blob storage performance at scale
- Database-as-a-Service limitations under load
- Cloud-native load testing platforms
- Security and compliance in cloud performance testing
- Scalability testing of managed services
Module 13: Mobile and API Performance Testing - Testing mobile app performance under real network conditions
- Simulating 3G, 4G, 5G, and Wi-Fi variability
- Offline mode behavior under stress
- Push notification timing and delivery under load
- Background sync performance testing
- REST API performance: statelessness, idempotency, cacheability
- GraphQL performance: query complexity and depth
- gRPC performance: binary serialization and streaming
- Webhook delivery reliability under system stress
- Authentication endpoint scalability
- Rate limiting and API throttling effectiveness
- Schema validation overhead in large payloads
- Pagination and filtering performance
- Batch processing APIs under concurrent load
- Asynchronous job polling performance
Module 14: Security and Performance Interactions - Encryption overhead in high-throughput systems
- TLS handshake performance at scale
- Secure cookie handling under load
- WAF impact on response time and error rates
- DDoS protection triggering during legitimate traffic spikes
- Security scanning performance in CI pipelines
- Rate limiting vs account lockout policies
- Session fixation and token refresh patterns
- Performance impact of audit logging
- Cryptography performance in embedded systems
- Compliance scan overhead during peak operations
- Secure file upload performance
- Multi-factor authentication scalability
- Zero-trust architecture latency considerations
- Role-based access control performance at scale
Module 15: Industry-Specific Performance Patterns - Fintech: transaction processing, settlement windows, fraud detection
- Healthcare: patient data retrieval, telemedicine, HL7 interfaces
- E-commerce: cart checkout flows, inventory locking, payment gateways
- Gaming: real-time multiplayer, leaderboards, in-app purchases
- Travel: booking systems, flight availability, seat maps
- Logistics: tracking updates, route calculation, dispatch systems
- Media: video streaming, content delivery, ad insertion
- Education: online exams, proctoring, video lectures
- Government: tax filing, benefit applications, identity verification
- Energy: smart meter data, grid balancing, outage management
- Telecom: call detail records, roaming, SMS delivery
- Retail: point-of-sale systems, inventory sync, loyalty programs
- Automotive: connected car data, firmware updates, navigation
- Insurance: claims processing, underwriting, policy issuance
- Banking: core banking, ATM networks, SWIFT messaging
Module 16: Performance Testing for Microservices Architecture - Service granularity and its performance implications
- Inter-service communication overhead
- API gateway performance under load
- Service mesh performance: sidecar proxy impact
- Circuit breaker performance tuning
- Distributed configuration management latency
- Service discovery performance at scale
- Event-driven architecture and message queue backlogs
- Saga pattern performance in long-running transactions
- Database per service anti-patterns
- Cross-service authentication performance
- Distributed caching strategies
- Consistency vs availability trade-offs under stress
- Testing bounded contexts independently
- End-to-end transaction tracing across services
Module 17: Database Performance Testing - Connection pool sizing and tuning
- Index performance under concurrent read write load
- Query plan stability and parameter sniffing
- Deadlock detection and resolution
- Replication lag under write pressure
- Shard performance imbalance
- Materialized view refresh overhead
- Full-text search performance at scale
- Geospatial query performance
- OLTP vs OLAP workload interference
- Transaction isolation level impact
- Batch operation optimization
- Partitioning strategy performance validation
- Foreign key constraint processing
- Database link and federated query performance
Module 18: Hands-On Implementation Projects - Project 1: End-to-end load test of an e-commerce checkout flow
- Scripting user login, product search, cart add, and payment
- Simulating 10,000 concurrent users during a sale event
- Monitoring application, database, and payment gateway
- Analyzing and reporting on transaction failure patterns
- Project 2: Banking transaction system stress test
- Modeling balance checks, transfers, and statement generation
- Validating consistency during simultaneous withdrawals
- Testing failover to backup data center
- Measuring end-to-end latency under peak load
- Project 3: Healthcare patient record retrieval under surge
- Testing access during emergency response scenarios
- Validating audit logging performance
- Ensuring HIPAA compliance during data access spikes
- Reporting on system resilience and recovery
Module 19: Certification Preparation and Career Advancement - Performance testing certification exam structure
- Key competencies assessed in advanced certification
- Creating a performance testing portfolio
- Documenting project outcomes with metrics
- Building a personal brand in performance engineering
- LinkedIn optimization for performance testing roles
- Preparing for technical interviews
- Common performance testing interview questions
- Handling live system troubleshooting scenarios
- Demonstrating ROI from performance initiatives
- Transitioning from manual to performance testing
- Negotiating salary based on performance expertise
- Joining performance testing communities and forums
- Staying current with emerging trends and tools
- Contribution to open-source performance projects
Module 20: Final Assessment and Certificate of Completion - Comprehensive knowledge assessment: scenario-based questions
- Performance test design challenge
- Analyzing a real-world performance incident
- Creating a sample test strategy document
- Peer review of implementation approach
- Automated feedback on response quality
- Passing criteria: 80% minimum score
- Immediate result notification
- Downloadable Certificate of Completion
- Verification page accessible to employers
- Badge for LinkedIn and professional profiles
- Access to graduate resource library
- Invitation to exclusive alumni network
- Template for performance testing audit
- Next steps: advanced learning paths and mentorship
- Encryption overhead in high-throughput systems
- TLS handshake performance at scale
- Secure cookie handling under load
- WAF impact on response time and error rates
- DDoS protection triggering during legitimate traffic spikes
- Security scanning performance in CI pipelines
- Rate limiting vs account lockout policies
- Session fixation and token refresh patterns
- Performance impact of audit logging
- Cryptography performance in embedded systems
- Compliance scan overhead during peak operations
- Secure file upload performance
- Multi-factor authentication scalability
- Zero-trust architecture latency considerations
- Role-based access control performance at scale
Module 15: Industry-Specific Performance Patterns - Fintech: transaction processing, settlement windows, fraud detection
- Healthcare: patient data retrieval, telemedicine, HL7 interfaces
- E-commerce: cart checkout flows, inventory locking, payment gateways
- Gaming: real-time multiplayer, leaderboards, in-app purchases
- Travel: booking systems, flight availability, seat maps
- Logistics: tracking updates, route calculation, dispatch systems
- Media: video streaming, content delivery, ad insertion
- Education: online exams, proctoring, video lectures
- Government: tax filing, benefit applications, identity verification
- Energy: smart meter data, grid balancing, outage management
- Telecom: call detail records, roaming, SMS delivery
- Retail: point-of-sale systems, inventory sync, loyalty programs
- Automotive: connected car data, firmware updates, navigation
- Insurance: claims processing, underwriting, policy issuance
- Banking: core banking, ATM networks, SWIFT messaging
Module 16: Performance Testing for Microservices Architecture - Service granularity and its performance implications
- Inter-service communication overhead
- API gateway performance under load
- Service mesh performance: sidecar proxy impact
- Circuit breaker performance tuning
- Distributed configuration management latency
- Service discovery performance at scale
- Event-driven architecture and message queue backlogs
- Saga pattern performance in long-running transactions
- Database per service anti-patterns
- Cross-service authentication performance
- Distributed caching strategies
- Consistency vs availability trade-offs under stress
- Testing bounded contexts independently
- End-to-end transaction tracing across services
Module 17: Database Performance Testing - Connection pool sizing and tuning
- Index performance under concurrent read write load
- Query plan stability and parameter sniffing
- Deadlock detection and resolution
- Replication lag under write pressure
- Shard performance imbalance
- Materialized view refresh overhead
- Full-text search performance at scale
- Geospatial query performance
- OLTP vs OLAP workload interference
- Transaction isolation level impact
- Batch operation optimization
- Partitioning strategy performance validation
- Foreign key constraint processing
- Database link and federated query performance
Module 18: Hands-On Implementation Projects - Project 1: End-to-end load test of an e-commerce checkout flow
- Scripting user login, product search, cart add, and payment
- Simulating 10,000 concurrent users during a sale event
- Monitoring application, database, and payment gateway
- Analyzing and reporting on transaction failure patterns
- Project 2: Banking transaction system stress test
- Modeling balance checks, transfers, and statement generation
- Validating consistency during simultaneous withdrawals
- Testing failover to backup data center
- Measuring end-to-end latency under peak load
- Project 3: Healthcare patient record retrieval under surge
- Testing access during emergency response scenarios
- Validating audit logging performance
- Ensuring HIPAA compliance during data access spikes
- Reporting on system resilience and recovery
Module 19: Certification Preparation and Career Advancement - Performance testing certification exam structure
- Key competencies assessed in advanced certification
- Creating a performance testing portfolio
- Documenting project outcomes with metrics
- Building a personal brand in performance engineering
- LinkedIn optimization for performance testing roles
- Preparing for technical interviews
- Common performance testing interview questions
- Handling live system troubleshooting scenarios
- Demonstrating ROI from performance initiatives
- Transitioning from manual to performance testing
- Negotiating salary based on performance expertise
- Joining performance testing communities and forums
- Staying current with emerging trends and tools
- Contribution to open-source performance projects
Module 20: Final Assessment and Certificate of Completion - Comprehensive knowledge assessment: scenario-based questions
- Performance test design challenge
- Analyzing a real-world performance incident
- Creating a sample test strategy document
- Peer review of implementation approach
- Automated feedback on response quality
- Passing criteria: 80% minimum score
- Immediate result notification
- Downloadable Certificate of Completion
- Verification page accessible to employers
- Badge for LinkedIn and professional profiles
- Access to graduate resource library
- Invitation to exclusive alumni network
- Template for performance testing audit
- Next steps: advanced learning paths and mentorship
- Service granularity and its performance implications
- Inter-service communication overhead
- API gateway performance under load
- Service mesh performance: sidecar proxy impact
- Circuit breaker performance tuning
- Distributed configuration management latency
- Service discovery performance at scale
- Event-driven architecture and message queue backlogs
- Saga pattern performance in long-running transactions
- Database per service anti-patterns
- Cross-service authentication performance
- Distributed caching strategies
- Consistency vs availability trade-offs under stress
- Testing bounded contexts independently
- End-to-end transaction tracing across services
Module 17: Database Performance Testing - Connection pool sizing and tuning
- Index performance under concurrent read write load
- Query plan stability and parameter sniffing
- Deadlock detection and resolution
- Replication lag under write pressure
- Shard performance imbalance
- Materialized view refresh overhead
- Full-text search performance at scale
- Geospatial query performance
- OLTP vs OLAP workload interference
- Transaction isolation level impact
- Batch operation optimization
- Partitioning strategy performance validation
- Foreign key constraint processing
- Database link and federated query performance
Module 18: Hands-On Implementation Projects - Project 1: End-to-end load test of an e-commerce checkout flow
- Scripting user login, product search, cart add, and payment
- Simulating 10,000 concurrent users during a sale event
- Monitoring application, database, and payment gateway
- Analyzing and reporting on transaction failure patterns
- Project 2: Banking transaction system stress test
- Modeling balance checks, transfers, and statement generation
- Validating consistency during simultaneous withdrawals
- Testing failover to backup data center
- Measuring end-to-end latency under peak load
- Project 3: Healthcare patient record retrieval under surge
- Testing access during emergency response scenarios
- Validating audit logging performance
- Ensuring HIPAA compliance during data access spikes
- Reporting on system resilience and recovery
Module 19: Certification Preparation and Career Advancement - Performance testing certification exam structure
- Key competencies assessed in advanced certification
- Creating a performance testing portfolio
- Documenting project outcomes with metrics
- Building a personal brand in performance engineering
- LinkedIn optimization for performance testing roles
- Preparing for technical interviews
- Common performance testing interview questions
- Handling live system troubleshooting scenarios
- Demonstrating ROI from performance initiatives
- Transitioning from manual to performance testing
- Negotiating salary based on performance expertise
- Joining performance testing communities and forums
- Staying current with emerging trends and tools
- Contribution to open-source performance projects
Module 20: Final Assessment and Certificate of Completion - Comprehensive knowledge assessment: scenario-based questions
- Performance test design challenge
- Analyzing a real-world performance incident
- Creating a sample test strategy document
- Peer review of implementation approach
- Automated feedback on response quality
- Passing criteria: 80% minimum score
- Immediate result notification
- Downloadable Certificate of Completion
- Verification page accessible to employers
- Badge for LinkedIn and professional profiles
- Access to graduate resource library
- Invitation to exclusive alumni network
- Template for performance testing audit
- Next steps: advanced learning paths and mentorship
- Project 1: End-to-end load test of an e-commerce checkout flow
- Scripting user login, product search, cart add, and payment
- Simulating 10,000 concurrent users during a sale event
- Monitoring application, database, and payment gateway
- Analyzing and reporting on transaction failure patterns
- Project 2: Banking transaction system stress test
- Modeling balance checks, transfers, and statement generation
- Validating consistency during simultaneous withdrawals
- Testing failover to backup data center
- Measuring end-to-end latency under peak load
- Project 3: Healthcare patient record retrieval under surge
- Testing access during emergency response scenarios
- Validating audit logging performance
- Ensuring HIPAA compliance during data access spikes
- Reporting on system resilience and recovery
Module 19: Certification Preparation and Career Advancement - Performance testing certification exam structure
- Key competencies assessed in advanced certification
- Creating a performance testing portfolio
- Documenting project outcomes with metrics
- Building a personal brand in performance engineering
- LinkedIn optimization for performance testing roles
- Preparing for technical interviews
- Common performance testing interview questions
- Handling live system troubleshooting scenarios
- Demonstrating ROI from performance initiatives
- Transitioning from manual to performance testing
- Negotiating salary based on performance expertise
- Joining performance testing communities and forums
- Staying current with emerging trends and tools
- Contribution to open-source performance projects
Module 20: Final Assessment and Certificate of Completion - Comprehensive knowledge assessment: scenario-based questions
- Performance test design challenge
- Analyzing a real-world performance incident
- Creating a sample test strategy document
- Peer review of implementation approach
- Automated feedback on response quality
- Passing criteria: 80% minimum score
- Immediate result notification
- Downloadable Certificate of Completion
- Verification page accessible to employers
- Badge for LinkedIn and professional profiles
- Access to graduate resource library
- Invitation to exclusive alumni network
- Template for performance testing audit
- Next steps: advanced learning paths and mentorship
- Comprehensive knowledge assessment: scenario-based questions
- Performance test design challenge
- Analyzing a real-world performance incident
- Creating a sample test strategy document
- Peer review of implementation approach
- Automated feedback on response quality
- Passing criteria: 80% minimum score
- Immediate result notification
- Downloadable Certificate of Completion
- Verification page accessible to employers
- Badge for LinkedIn and professional profiles
- Access to graduate resource library
- Invitation to exclusive alumni network
- Template for performance testing audit
- Next steps: advanced learning paths and mentorship