Platform as a Service Mastery: Building Scalable Solutions for Future-Proof Success
You're not behind. But you're not ahead either. And in today's tech landscape, standing still is falling behind. The pressure is real - to deliver robust, scalable solutions that can withstand unpredictable growth, security threats, and shifting business priorities. You’ve likely attended trainings that only scratched the surface, leaving you with more questions than confidence. Worse, you’re expected to lead. Whether you're an architect, DevOps lead, or senior developer, your team relies on you to make the right platform decisions - decisions that impact deployment speed, system resilience, and long-term cost efficiency. The risk of choosing wrong is high. A suboptimal PaaS strategy doesn't just waste resources. It delays innovation, exposes gaps, and erodes stakeholder trust. That ends now. Platform as a Service Mastery: Building Scalable Solutions for Future-Proof Success is your step-by-step blueprint to close the gap between theory and execution. This isn’t just about learning platforms - it’s about mastering them with precision, confidence, and foresight. You’ll go from uncertain implementation to architecting board-ready, production-grade PaaS solutions in under 30 days. Take Sarah Lin, Lead Cloud Engineer at a Fortune 500 logistics firm. After completing this course, she redesigned her company’s legacy CI/CD pipeline using PaaS-native tooling. The result? Deployment cycles dropped from 48 hours to 22 minutes, and her team’s monthly cloud spend decreased by 31%. She presented her work to C-suite executives - and earned a direct promotion to Cloud Infrastructure Lead. This course doesn’t just teach you what PaaS is. It transforms you into the go-to expert your organisation depends on. You’ll build fully documented, scalable solutions from day one, leveraging battle-tested frameworks, architecture patterns, and governance strategies used by elite cloud teams worldwide. We don’t just hand you content. We hand you control over your next breakthrough. Here’s how this course is structured to help you get there.Course Format & Delivery Details Designed for High Performers, Built for Real Impact
This is a self-paced, on-demand learning experience with immediate online access upon enrollment. There are no fixed class times, no scheduling conflicts, and no waiting for the next session. You begin when you're ready, progress at your own speed, and apply each module directly to your current projects. Most learners complete the core curriculum in 4 to 6 weeks, dedicating 5 to 7 hours per week. However, many report deploying their first scalable PaaS solution - with full documentation and integration roadmaps - within the first 10 days. This isn’t theoretical. It’s designed for fast, visible ROI. Lifetime Access, Zero Obsolescence Risk
You receive lifetime access to all course materials, including every future update at no extra cost. As PaaS platforms evolve - with new services, compliance standards, and architectural patterns - your access is automatically refreshed. You’re not buying a one-time course. You’re investing in a living, up-to-date knowledge vault that grows with the industry. Access is available 24/7 from any device, anywhere in the world. All content is mobile-friendly and optimised for fast loading, offline reference, and seamless cross-device progress syncing. Whether you're reviewing architecture checklists on your phone during a commute or refining your deployment strategy on your laptop, your learning follows you. Personalised, Practical, and Expert-Guided
You’re not left to figure things out alone. This course includes direct access to our expert instructor network - cloud architects with 15+ years of enterprise-scale PaaS deployment experience. You can submit technical questions, request feedback on your solution designs, and request clarification on architecture decisions. Responses are typically provided within 48 business hours. Upon successful completion, you earn a verifiable Certificate of Completion issued by The Art of Service. This credential is recognised globally by technology leaders, certification bodies, and hiring managers. It validates your mastery of PaaS design principles, scalable deployment patterns, and platform governance - not just course completion. Transparent, Risk-Free Enrollment
Pricing is straightforward with no hidden fees, recurring charges, or upsells. What you see is what you pay - one-time, all-inclusive access. We accept all major payment methods, including Visa, Mastercard, and PayPal, with secure encrypted checkout. We stand fully behind the value of this course. If you complete the material, apply the frameworks, and don’t see a measurable improvement in your platform design capability, deployment efficiency, or professional credibility, simply request a full refund within 30 days. No questions asked. This is our Satisfied or Refunded Guarantee. “Will This Work for Me?” - Addressing Your Biggest Concern
You might be thinking: “I’ve tried similar courses before. They were too abstract. Too academic. They didn’t stick.” Here’s the difference: This course is built for hands-on doers. It works even if you’re not a cloud-native expert. It works even if your organisation uses legacy infrastructure. It works even if you’re transitioning from IaaS or on-prem environments. Our step-by-step method ensures every concept is tied to real-world implementation. Software Architects use it to validate platform decisions. DevOps Engineers apply it to automate CI/CD on PaaS stacks. SREs leverage it to build resilient, observable systems. And Tech Leads use it to create governance frameworks that align development with security and compliance. After enrollment, you’ll receive a confirmation email. Your access details and login instructions will be sent separately once your course materials are fully prepared - ensuring you receive a polished, rigorous learning experience from day one.
Extensive and Detailed Course Curriculum
Module 1: Foundations of Platform as a Service - Defining PaaS in the modern cloud ecosystem
- Differentiating PaaS from IaaS and SaaS
- Core benefits of PaaS for development velocity and operational efficiency
- Historical evolution of platform services
- Key players in the PaaS landscape: AWS, Azure, GCP, IBM, Oracle, and Red Hat
- Understanding vendor lock-in risks and mitigation strategies
- The role of abstraction in platform services
- Service-level agreements and uptime expectations in PaaS
- How PaaS reduces infrastructure management burden
- Business case fundamentals for PaaS adoption
- Identifying organisational pain points solvable with PaaS
- Establishing PaaS KPIs and success metrics
- Mapping PaaS to business innovation goals
- Common misconceptions and myths about PaaS
- Positioning PaaS in a multi-cloud strategy
- Foundational terminology and glossary mastery
Module 2: Core PaaS Architectural Patterns - Twelve-factor app methodology and its PaaS relevance
- Stateless vs stateful service design on PaaS
- Multi-tenancy models in platform environments
- Autoscaling and dynamic resource allocation
- Service mesh integration with PaaS platforms
- Container orchestration inside PaaS (managed Kubernetes)
- Serverless functions as PaaS extensions
- Event-driven architecture patterns on PaaS
- Batch processing and job scheduling frameworks
- Blue-green and canary deployment patterns
- Rollback and version control mechanisms in PaaS
- Zero-downtime deployment techniques
- Data persistence strategies with hosted databases
- State management using external caches (Redis, Memcached)
- Session affinity and sticky sessions configuration
- Health check and liveness probe implementation
- Load balancing models in PaaS environments
- High availability design within a single region
- Cross-region replication and failover readiness
- Designing for failure: resilience by default
Module 3: Scalability and Performance Optimization - Measuring and monitoring PaaS application performance
- Bottleneck identification in PaaS-hosted services
- Throughput, latency, and concurrency tuning
- Database connection pooling strategies
- Caching layers and CDN integration on PaaS
- Memory and CPU optimisation in managed environments
- Asynchronous processing and message queues
- Scaling strategies: vertical, horizontal, and diagonal
- Cost-performance tradeoffs in auto-scaling policies
- Concurrency tuning for real-time applications
- Request queuing and backpressure management
- Thread pool configuration and optimisation
- Application profiling tools for PaaS
- Performance baselines and benchmarking techniques
- Capacity planning for expected growth spikes
- Scalability testing using synthetic workloads
- Latency optimisation in distributed services
- Tuning garbage collection in managed runtimes
- Network optimisation in platform-bound applications
- Analyzing cold start issues in serverless PaaS tiers
Module 4: Security and Compliance in PaaS Environments - Shared responsibility model in PaaS security
- Identity and access management (IAM) on PaaS
- Role-based access control (RBAC) implementation
- Service account hardening and rotation policies
- Secrets management using PaaS vaults
- Encrypting data at rest and in transit
- Compliance frameworks relevant to PaaS (GDPR, HIPAA, SOC 2)
- Security logging and audit trail configuration
- Network segmentation and firewall rules in PaaS
- Private endpoints and VPC integration
- Threat detection and anomaly monitoring
- Secure CI/CD pipeline construction
- Code scanning and vulnerability detection tools
- Dependency checking and SBOM generation
- Secrets leakage prevention in logs and build outputs
- Penetration testing policies in PaaS environments
- Security policy as code (OPA, Sentinel)
- Automated compliance validation workflows
- Disaster recovery planning for PaaS systems
- Incident response playbooks for platform incidents
Module 5: Integration and Interoperability - API-first design principles in PaaS development
- RESTful API patterns and best practices
- GraphQL integration with PaaS backends
- Webhook architecture and event subscription
- Service discovery mechanisms in platform environments
- Inter-service communication using messaging
- Message brokers: RabbitMQ, Kafka, and Pulsar on PaaS
- Event streaming and pub-sub models
- Cross-platform data synchronisation strategies
- Hybrid integration with on-prem systems
- Service-to-service authentication (mTLS)
- API gateways and rate limiting on PaaS
- Schema registry and versioning
- Data transformation pipelines
- ETL and data pipeline orchestration
- Integration middleware hosted on PaaS
- Microservices communication anti-patterns to avoid
- Async vs sync integration tradeoffs
- Dead letter queue management
- Observability for integration points
Module 6: Deployment and CI/CD Automation - Designing immutable deployment pipelines
- Code repository structure for PaaS applications
- Branching strategies (trunk-based, GitFlow)
- Build automation with declarative scripts
- Automated testing in PaaS pipelines
- Unit, integration, and end-to-end test execution
- Static code analysis integration
- Dynamic security scanning in CI/CD
- Pipeline as code (Jenkinsfile, GitHub Actions)
- Approval gates and manual intervention points
- Canary analysis with metrics validation
- Deployment progression rules and policies
- Pipeline monitoring and failure root cause analysis
- Rollback automation and triggers
- Artifact versioning and storage
- Dependency update automation
- Environment promotion workflows
- Multi-environment configuration management
- Feature flag implementation in PaaS
- Continuous verification with real-user monitoring
Module 7: Monitoring, Logging, and Observability - Establishing observability in PaaS environments
- Instrumenting applications for metrics collection
- Distributed tracing implementation
- Structured logging and JSON formatting
- Centralised log aggregation (ELK, Splunk, Grafana)
- Alerting thresholds and notification policies
- Health dashboards and KPI visualisation
- Detecting anomalies using machine learning
- Service level objectives (SLOs) and error budgets
- Incident detection and correlation
- Log retention and archival policies
- Cost-awareness in observability pipelines
- Correlating logs with traces and metrics
- Dependency mapping and topology discovery
- User journey tracing across services
- Performance degradation detection
- Alert fatigue reduction strategies
- On-call rotation and incident management
- Postmortem documentation and learning
- Observability maturity model assessment
Module 8: Data Management on PaaS - Choosing between managed SQL and NoSQL databases
- Provisioning and configuring cloud-hosted databases
- Connection pooling and query optimisation
- Database migration strategies (online, offline)
- Schemas as code and version control integration
- Backup and recovery procedures
- Point-in-time recovery and restore testing
- Read replicas and query routing
- Sharding and horizontal partitioning
- Data lifecycle management and archiving
- GDPR-compliant data deletion workflows
- Real-time analytics with streaming databases
- Caching layers to reduce database load
- Data validation and integrity checks
- Database access governance and auditing
- Zero-downtime schema migrations
- Multimaster and global database configurations
- Data sovereignty and regional compliance
- Database performance monitoring tools
- Automated index optimisation recommendations
Module 9: Cost Management and Optimisation - PaaS pricing models: subscription, pay-per-use, reserved capacity
- Analysing and forecasting PaaS spend
- Cost attribution by team, project, or service
- Tagging strategies for chargeback and showback
- Identifying idle or underutilised resources
- Right-sizing services for cost efficiency
- Auto-scaling policies to avoid over-provisioning
- Spot instances and burstable pricing tiers
- Caching and batching to reduce API calls
- Data transfer cost optimisation
- Storage tier selection and lifecycle policies
- Database cost reduction techniques
- Monitoring cost trends and anomaly detection
- Budget alerts and overspending prevention
- Cost impact analysis of architectural decisions
- FinOps principles in platform engineering
- Cross-team cost accountability frameworks
- Automated cost reporting dashboards
- Negotiating enterprise PaaS contracts
- Comparing total cost of ownership across vendors
Module 10: Governance and Platform Standardisation - Establishing PaaS governance frameworks
- Platform standards for consistency and security
- Creating reusable architecture blueprints
- Provisioning templates using Terraform and Pulumi
- Policy as code enforcement (Sentinel, OPA)
- Automated compliance checks in pipelines
- Change management and approval workflows
- Environment lifecycle management
- Naming conventions and tagging standards
- Service onboarding checklists and approval gates
- Access control and privilege escalation policies
- Technical debt tracking and remediation
- Architecture review board processes
- Design pattern library for PaaS applications
- Documentation standards and site reliability playbooks
- Training and enablement for development teams
- Feedback loops for platform improvement
- Measuring platform team effectiveness
- Developer experience (DevEx) optimisation
- Internal platform product management
Module 11: Advanced PaaS Patterns and Anti-Patterns - Multitenant SaaS architecture on PaaS
- Single tenancy vs multi-tenancy tradeoffs
- Per-tenant database isolation models
- Shared service overhead and contention risks
- Configuration drift in multi-environment setups
- The configuration by script anti-pattern
- Hardcoded secrets and credentials in code
- Over-reliance on vendor-specific features
- Tight coupling to PaaS-managed services
- Ignoring portability and abstraction layers
- Under-provisioning monitoring and observability
- Skipping load testing in PaaS environments
- Monolithic deployment on scalable platforms
- Ignoring data gravity and egress costs
- Building without failure mode analysis
- Skipping chaos engineering in PaaS testing
- Assuming PaaS eliminates SRE responsibilities
- Neglecting backup and disaster recovery testing
- Failing to establish SLOs and error budgets
- Not measuring and managing technical debt
Module 12: Real-World PaaS Solution Projects - Project 1: Building a scalable API gateway on PaaS
- Project 2: Deploying a secure, regulated data processing service
- Project 3: Creating a multi-region, high-availability microservice
- Project 4: Automating a self-healing CI/CD pipeline
- Project 5: Designing a cost-optimised analytics platform
- Defining project scope and success criteria
- Architecture decision records (ADRs) for each project
- Security and compliance checklist completion
- Performance requirement specification
- Scalability and failure mode analysis
- Resource provisioning and configuration
- Integration with monitoring and logging
- Automated testing suite implementation
- Deployment pipeline construction
- Documentation and handover preparation
- Peer review and feedback incorporation
- Final validation and certification checklist
- Presenting solution to executive stakeholders
- Measuring real-world performance post-deployment
- Improving based on operational feedback
Module 13: Certification and Career Advancement - Preparing for the final mastery assessment
- Review of cross-module integration points
- Architecture tradeoff decision exercises
- Scenario-based problem solving drills
- Evidence portfolio creation: designs, decisions, and outcomes
- Submission requirements for Certificate of Completion
- Verification process and anti-fraud measures
- Accessing your digital certificate and badge
- Adding certification to LinkedIn and CV
- Using your credential in performance reviews
- Positioning PaaS mastery in salary negotiations
- Transitioning to platform engineering roles
- Becoming an internal PaaS advocate and trainer
- Building a reputation as a trusted advisor
- Accessing alumni resources and community forums
- Continuing education pathways and advanced topics
- Staying updated with industry trends and releases
- Contributing to open-source PaaS tooling
- Speaking at conferences and tech meetups
- Next-step certifications and learning paths
Module 1: Foundations of Platform as a Service - Defining PaaS in the modern cloud ecosystem
- Differentiating PaaS from IaaS and SaaS
- Core benefits of PaaS for development velocity and operational efficiency
- Historical evolution of platform services
- Key players in the PaaS landscape: AWS, Azure, GCP, IBM, Oracle, and Red Hat
- Understanding vendor lock-in risks and mitigation strategies
- The role of abstraction in platform services
- Service-level agreements and uptime expectations in PaaS
- How PaaS reduces infrastructure management burden
- Business case fundamentals for PaaS adoption
- Identifying organisational pain points solvable with PaaS
- Establishing PaaS KPIs and success metrics
- Mapping PaaS to business innovation goals
- Common misconceptions and myths about PaaS
- Positioning PaaS in a multi-cloud strategy
- Foundational terminology and glossary mastery
Module 2: Core PaaS Architectural Patterns - Twelve-factor app methodology and its PaaS relevance
- Stateless vs stateful service design on PaaS
- Multi-tenancy models in platform environments
- Autoscaling and dynamic resource allocation
- Service mesh integration with PaaS platforms
- Container orchestration inside PaaS (managed Kubernetes)
- Serverless functions as PaaS extensions
- Event-driven architecture patterns on PaaS
- Batch processing and job scheduling frameworks
- Blue-green and canary deployment patterns
- Rollback and version control mechanisms in PaaS
- Zero-downtime deployment techniques
- Data persistence strategies with hosted databases
- State management using external caches (Redis, Memcached)
- Session affinity and sticky sessions configuration
- Health check and liveness probe implementation
- Load balancing models in PaaS environments
- High availability design within a single region
- Cross-region replication and failover readiness
- Designing for failure: resilience by default
Module 3: Scalability and Performance Optimization - Measuring and monitoring PaaS application performance
- Bottleneck identification in PaaS-hosted services
- Throughput, latency, and concurrency tuning
- Database connection pooling strategies
- Caching layers and CDN integration on PaaS
- Memory and CPU optimisation in managed environments
- Asynchronous processing and message queues
- Scaling strategies: vertical, horizontal, and diagonal
- Cost-performance tradeoffs in auto-scaling policies
- Concurrency tuning for real-time applications
- Request queuing and backpressure management
- Thread pool configuration and optimisation
- Application profiling tools for PaaS
- Performance baselines and benchmarking techniques
- Capacity planning for expected growth spikes
- Scalability testing using synthetic workloads
- Latency optimisation in distributed services
- Tuning garbage collection in managed runtimes
- Network optimisation in platform-bound applications
- Analyzing cold start issues in serverless PaaS tiers
Module 4: Security and Compliance in PaaS Environments - Shared responsibility model in PaaS security
- Identity and access management (IAM) on PaaS
- Role-based access control (RBAC) implementation
- Service account hardening and rotation policies
- Secrets management using PaaS vaults
- Encrypting data at rest and in transit
- Compliance frameworks relevant to PaaS (GDPR, HIPAA, SOC 2)
- Security logging and audit trail configuration
- Network segmentation and firewall rules in PaaS
- Private endpoints and VPC integration
- Threat detection and anomaly monitoring
- Secure CI/CD pipeline construction
- Code scanning and vulnerability detection tools
- Dependency checking and SBOM generation
- Secrets leakage prevention in logs and build outputs
- Penetration testing policies in PaaS environments
- Security policy as code (OPA, Sentinel)
- Automated compliance validation workflows
- Disaster recovery planning for PaaS systems
- Incident response playbooks for platform incidents
Module 5: Integration and Interoperability - API-first design principles in PaaS development
- RESTful API patterns and best practices
- GraphQL integration with PaaS backends
- Webhook architecture and event subscription
- Service discovery mechanisms in platform environments
- Inter-service communication using messaging
- Message brokers: RabbitMQ, Kafka, and Pulsar on PaaS
- Event streaming and pub-sub models
- Cross-platform data synchronisation strategies
- Hybrid integration with on-prem systems
- Service-to-service authentication (mTLS)
- API gateways and rate limiting on PaaS
- Schema registry and versioning
- Data transformation pipelines
- ETL and data pipeline orchestration
- Integration middleware hosted on PaaS
- Microservices communication anti-patterns to avoid
- Async vs sync integration tradeoffs
- Dead letter queue management
- Observability for integration points
Module 6: Deployment and CI/CD Automation - Designing immutable deployment pipelines
- Code repository structure for PaaS applications
- Branching strategies (trunk-based, GitFlow)
- Build automation with declarative scripts
- Automated testing in PaaS pipelines
- Unit, integration, and end-to-end test execution
- Static code analysis integration
- Dynamic security scanning in CI/CD
- Pipeline as code (Jenkinsfile, GitHub Actions)
- Approval gates and manual intervention points
- Canary analysis with metrics validation
- Deployment progression rules and policies
- Pipeline monitoring and failure root cause analysis
- Rollback automation and triggers
- Artifact versioning and storage
- Dependency update automation
- Environment promotion workflows
- Multi-environment configuration management
- Feature flag implementation in PaaS
- Continuous verification with real-user monitoring
Module 7: Monitoring, Logging, and Observability - Establishing observability in PaaS environments
- Instrumenting applications for metrics collection
- Distributed tracing implementation
- Structured logging and JSON formatting
- Centralised log aggregation (ELK, Splunk, Grafana)
- Alerting thresholds and notification policies
- Health dashboards and KPI visualisation
- Detecting anomalies using machine learning
- Service level objectives (SLOs) and error budgets
- Incident detection and correlation
- Log retention and archival policies
- Cost-awareness in observability pipelines
- Correlating logs with traces and metrics
- Dependency mapping and topology discovery
- User journey tracing across services
- Performance degradation detection
- Alert fatigue reduction strategies
- On-call rotation and incident management
- Postmortem documentation and learning
- Observability maturity model assessment
Module 8: Data Management on PaaS - Choosing between managed SQL and NoSQL databases
- Provisioning and configuring cloud-hosted databases
- Connection pooling and query optimisation
- Database migration strategies (online, offline)
- Schemas as code and version control integration
- Backup and recovery procedures
- Point-in-time recovery and restore testing
- Read replicas and query routing
- Sharding and horizontal partitioning
- Data lifecycle management and archiving
- GDPR-compliant data deletion workflows
- Real-time analytics with streaming databases
- Caching layers to reduce database load
- Data validation and integrity checks
- Database access governance and auditing
- Zero-downtime schema migrations
- Multimaster and global database configurations
- Data sovereignty and regional compliance
- Database performance monitoring tools
- Automated index optimisation recommendations
Module 9: Cost Management and Optimisation - PaaS pricing models: subscription, pay-per-use, reserved capacity
- Analysing and forecasting PaaS spend
- Cost attribution by team, project, or service
- Tagging strategies for chargeback and showback
- Identifying idle or underutilised resources
- Right-sizing services for cost efficiency
- Auto-scaling policies to avoid over-provisioning
- Spot instances and burstable pricing tiers
- Caching and batching to reduce API calls
- Data transfer cost optimisation
- Storage tier selection and lifecycle policies
- Database cost reduction techniques
- Monitoring cost trends and anomaly detection
- Budget alerts and overspending prevention
- Cost impact analysis of architectural decisions
- FinOps principles in platform engineering
- Cross-team cost accountability frameworks
- Automated cost reporting dashboards
- Negotiating enterprise PaaS contracts
- Comparing total cost of ownership across vendors
Module 10: Governance and Platform Standardisation - Establishing PaaS governance frameworks
- Platform standards for consistency and security
- Creating reusable architecture blueprints
- Provisioning templates using Terraform and Pulumi
- Policy as code enforcement (Sentinel, OPA)
- Automated compliance checks in pipelines
- Change management and approval workflows
- Environment lifecycle management
- Naming conventions and tagging standards
- Service onboarding checklists and approval gates
- Access control and privilege escalation policies
- Technical debt tracking and remediation
- Architecture review board processes
- Design pattern library for PaaS applications
- Documentation standards and site reliability playbooks
- Training and enablement for development teams
- Feedback loops for platform improvement
- Measuring platform team effectiveness
- Developer experience (DevEx) optimisation
- Internal platform product management
Module 11: Advanced PaaS Patterns and Anti-Patterns - Multitenant SaaS architecture on PaaS
- Single tenancy vs multi-tenancy tradeoffs
- Per-tenant database isolation models
- Shared service overhead and contention risks
- Configuration drift in multi-environment setups
- The configuration by script anti-pattern
- Hardcoded secrets and credentials in code
- Over-reliance on vendor-specific features
- Tight coupling to PaaS-managed services
- Ignoring portability and abstraction layers
- Under-provisioning monitoring and observability
- Skipping load testing in PaaS environments
- Monolithic deployment on scalable platforms
- Ignoring data gravity and egress costs
- Building without failure mode analysis
- Skipping chaos engineering in PaaS testing
- Assuming PaaS eliminates SRE responsibilities
- Neglecting backup and disaster recovery testing
- Failing to establish SLOs and error budgets
- Not measuring and managing technical debt
Module 12: Real-World PaaS Solution Projects - Project 1: Building a scalable API gateway on PaaS
- Project 2: Deploying a secure, regulated data processing service
- Project 3: Creating a multi-region, high-availability microservice
- Project 4: Automating a self-healing CI/CD pipeline
- Project 5: Designing a cost-optimised analytics platform
- Defining project scope and success criteria
- Architecture decision records (ADRs) for each project
- Security and compliance checklist completion
- Performance requirement specification
- Scalability and failure mode analysis
- Resource provisioning and configuration
- Integration with monitoring and logging
- Automated testing suite implementation
- Deployment pipeline construction
- Documentation and handover preparation
- Peer review and feedback incorporation
- Final validation and certification checklist
- Presenting solution to executive stakeholders
- Measuring real-world performance post-deployment
- Improving based on operational feedback
Module 13: Certification and Career Advancement - Preparing for the final mastery assessment
- Review of cross-module integration points
- Architecture tradeoff decision exercises
- Scenario-based problem solving drills
- Evidence portfolio creation: designs, decisions, and outcomes
- Submission requirements for Certificate of Completion
- Verification process and anti-fraud measures
- Accessing your digital certificate and badge
- Adding certification to LinkedIn and CV
- Using your credential in performance reviews
- Positioning PaaS mastery in salary negotiations
- Transitioning to platform engineering roles
- Becoming an internal PaaS advocate and trainer
- Building a reputation as a trusted advisor
- Accessing alumni resources and community forums
- Continuing education pathways and advanced topics
- Staying updated with industry trends and releases
- Contributing to open-source PaaS tooling
- Speaking at conferences and tech meetups
- Next-step certifications and learning paths
- Twelve-factor app methodology and its PaaS relevance
- Stateless vs stateful service design on PaaS
- Multi-tenancy models in platform environments
- Autoscaling and dynamic resource allocation
- Service mesh integration with PaaS platforms
- Container orchestration inside PaaS (managed Kubernetes)
- Serverless functions as PaaS extensions
- Event-driven architecture patterns on PaaS
- Batch processing and job scheduling frameworks
- Blue-green and canary deployment patterns
- Rollback and version control mechanisms in PaaS
- Zero-downtime deployment techniques
- Data persistence strategies with hosted databases
- State management using external caches (Redis, Memcached)
- Session affinity and sticky sessions configuration
- Health check and liveness probe implementation
- Load balancing models in PaaS environments
- High availability design within a single region
- Cross-region replication and failover readiness
- Designing for failure: resilience by default
Module 3: Scalability and Performance Optimization - Measuring and monitoring PaaS application performance
- Bottleneck identification in PaaS-hosted services
- Throughput, latency, and concurrency tuning
- Database connection pooling strategies
- Caching layers and CDN integration on PaaS
- Memory and CPU optimisation in managed environments
- Asynchronous processing and message queues
- Scaling strategies: vertical, horizontal, and diagonal
- Cost-performance tradeoffs in auto-scaling policies
- Concurrency tuning for real-time applications
- Request queuing and backpressure management
- Thread pool configuration and optimisation
- Application profiling tools for PaaS
- Performance baselines and benchmarking techniques
- Capacity planning for expected growth spikes
- Scalability testing using synthetic workloads
- Latency optimisation in distributed services
- Tuning garbage collection in managed runtimes
- Network optimisation in platform-bound applications
- Analyzing cold start issues in serverless PaaS tiers
Module 4: Security and Compliance in PaaS Environments - Shared responsibility model in PaaS security
- Identity and access management (IAM) on PaaS
- Role-based access control (RBAC) implementation
- Service account hardening and rotation policies
- Secrets management using PaaS vaults
- Encrypting data at rest and in transit
- Compliance frameworks relevant to PaaS (GDPR, HIPAA, SOC 2)
- Security logging and audit trail configuration
- Network segmentation and firewall rules in PaaS
- Private endpoints and VPC integration
- Threat detection and anomaly monitoring
- Secure CI/CD pipeline construction
- Code scanning and vulnerability detection tools
- Dependency checking and SBOM generation
- Secrets leakage prevention in logs and build outputs
- Penetration testing policies in PaaS environments
- Security policy as code (OPA, Sentinel)
- Automated compliance validation workflows
- Disaster recovery planning for PaaS systems
- Incident response playbooks for platform incidents
Module 5: Integration and Interoperability - API-first design principles in PaaS development
- RESTful API patterns and best practices
- GraphQL integration with PaaS backends
- Webhook architecture and event subscription
- Service discovery mechanisms in platform environments
- Inter-service communication using messaging
- Message brokers: RabbitMQ, Kafka, and Pulsar on PaaS
- Event streaming and pub-sub models
- Cross-platform data synchronisation strategies
- Hybrid integration with on-prem systems
- Service-to-service authentication (mTLS)
- API gateways and rate limiting on PaaS
- Schema registry and versioning
- Data transformation pipelines
- ETL and data pipeline orchestration
- Integration middleware hosted on PaaS
- Microservices communication anti-patterns to avoid
- Async vs sync integration tradeoffs
- Dead letter queue management
- Observability for integration points
Module 6: Deployment and CI/CD Automation - Designing immutable deployment pipelines
- Code repository structure for PaaS applications
- Branching strategies (trunk-based, GitFlow)
- Build automation with declarative scripts
- Automated testing in PaaS pipelines
- Unit, integration, and end-to-end test execution
- Static code analysis integration
- Dynamic security scanning in CI/CD
- Pipeline as code (Jenkinsfile, GitHub Actions)
- Approval gates and manual intervention points
- Canary analysis with metrics validation
- Deployment progression rules and policies
- Pipeline monitoring and failure root cause analysis
- Rollback automation and triggers
- Artifact versioning and storage
- Dependency update automation
- Environment promotion workflows
- Multi-environment configuration management
- Feature flag implementation in PaaS
- Continuous verification with real-user monitoring
Module 7: Monitoring, Logging, and Observability - Establishing observability in PaaS environments
- Instrumenting applications for metrics collection
- Distributed tracing implementation
- Structured logging and JSON formatting
- Centralised log aggregation (ELK, Splunk, Grafana)
- Alerting thresholds and notification policies
- Health dashboards and KPI visualisation
- Detecting anomalies using machine learning
- Service level objectives (SLOs) and error budgets
- Incident detection and correlation
- Log retention and archival policies
- Cost-awareness in observability pipelines
- Correlating logs with traces and metrics
- Dependency mapping and topology discovery
- User journey tracing across services
- Performance degradation detection
- Alert fatigue reduction strategies
- On-call rotation and incident management
- Postmortem documentation and learning
- Observability maturity model assessment
Module 8: Data Management on PaaS - Choosing between managed SQL and NoSQL databases
- Provisioning and configuring cloud-hosted databases
- Connection pooling and query optimisation
- Database migration strategies (online, offline)
- Schemas as code and version control integration
- Backup and recovery procedures
- Point-in-time recovery and restore testing
- Read replicas and query routing
- Sharding and horizontal partitioning
- Data lifecycle management and archiving
- GDPR-compliant data deletion workflows
- Real-time analytics with streaming databases
- Caching layers to reduce database load
- Data validation and integrity checks
- Database access governance and auditing
- Zero-downtime schema migrations
- Multimaster and global database configurations
- Data sovereignty and regional compliance
- Database performance monitoring tools
- Automated index optimisation recommendations
Module 9: Cost Management and Optimisation - PaaS pricing models: subscription, pay-per-use, reserved capacity
- Analysing and forecasting PaaS spend
- Cost attribution by team, project, or service
- Tagging strategies for chargeback and showback
- Identifying idle or underutilised resources
- Right-sizing services for cost efficiency
- Auto-scaling policies to avoid over-provisioning
- Spot instances and burstable pricing tiers
- Caching and batching to reduce API calls
- Data transfer cost optimisation
- Storage tier selection and lifecycle policies
- Database cost reduction techniques
- Monitoring cost trends and anomaly detection
- Budget alerts and overspending prevention
- Cost impact analysis of architectural decisions
- FinOps principles in platform engineering
- Cross-team cost accountability frameworks
- Automated cost reporting dashboards
- Negotiating enterprise PaaS contracts
- Comparing total cost of ownership across vendors
Module 10: Governance and Platform Standardisation - Establishing PaaS governance frameworks
- Platform standards for consistency and security
- Creating reusable architecture blueprints
- Provisioning templates using Terraform and Pulumi
- Policy as code enforcement (Sentinel, OPA)
- Automated compliance checks in pipelines
- Change management and approval workflows
- Environment lifecycle management
- Naming conventions and tagging standards
- Service onboarding checklists and approval gates
- Access control and privilege escalation policies
- Technical debt tracking and remediation
- Architecture review board processes
- Design pattern library for PaaS applications
- Documentation standards and site reliability playbooks
- Training and enablement for development teams
- Feedback loops for platform improvement
- Measuring platform team effectiveness
- Developer experience (DevEx) optimisation
- Internal platform product management
Module 11: Advanced PaaS Patterns and Anti-Patterns - Multitenant SaaS architecture on PaaS
- Single tenancy vs multi-tenancy tradeoffs
- Per-tenant database isolation models
- Shared service overhead and contention risks
- Configuration drift in multi-environment setups
- The configuration by script anti-pattern
- Hardcoded secrets and credentials in code
- Over-reliance on vendor-specific features
- Tight coupling to PaaS-managed services
- Ignoring portability and abstraction layers
- Under-provisioning monitoring and observability
- Skipping load testing in PaaS environments
- Monolithic deployment on scalable platforms
- Ignoring data gravity and egress costs
- Building without failure mode analysis
- Skipping chaos engineering in PaaS testing
- Assuming PaaS eliminates SRE responsibilities
- Neglecting backup and disaster recovery testing
- Failing to establish SLOs and error budgets
- Not measuring and managing technical debt
Module 12: Real-World PaaS Solution Projects - Project 1: Building a scalable API gateway on PaaS
- Project 2: Deploying a secure, regulated data processing service
- Project 3: Creating a multi-region, high-availability microservice
- Project 4: Automating a self-healing CI/CD pipeline
- Project 5: Designing a cost-optimised analytics platform
- Defining project scope and success criteria
- Architecture decision records (ADRs) for each project
- Security and compliance checklist completion
- Performance requirement specification
- Scalability and failure mode analysis
- Resource provisioning and configuration
- Integration with monitoring and logging
- Automated testing suite implementation
- Deployment pipeline construction
- Documentation and handover preparation
- Peer review and feedback incorporation
- Final validation and certification checklist
- Presenting solution to executive stakeholders
- Measuring real-world performance post-deployment
- Improving based on operational feedback
Module 13: Certification and Career Advancement - Preparing for the final mastery assessment
- Review of cross-module integration points
- Architecture tradeoff decision exercises
- Scenario-based problem solving drills
- Evidence portfolio creation: designs, decisions, and outcomes
- Submission requirements for Certificate of Completion
- Verification process and anti-fraud measures
- Accessing your digital certificate and badge
- Adding certification to LinkedIn and CV
- Using your credential in performance reviews
- Positioning PaaS mastery in salary negotiations
- Transitioning to platform engineering roles
- Becoming an internal PaaS advocate and trainer
- Building a reputation as a trusted advisor
- Accessing alumni resources and community forums
- Continuing education pathways and advanced topics
- Staying updated with industry trends and releases
- Contributing to open-source PaaS tooling
- Speaking at conferences and tech meetups
- Next-step certifications and learning paths
- Shared responsibility model in PaaS security
- Identity and access management (IAM) on PaaS
- Role-based access control (RBAC) implementation
- Service account hardening and rotation policies
- Secrets management using PaaS vaults
- Encrypting data at rest and in transit
- Compliance frameworks relevant to PaaS (GDPR, HIPAA, SOC 2)
- Security logging and audit trail configuration
- Network segmentation and firewall rules in PaaS
- Private endpoints and VPC integration
- Threat detection and anomaly monitoring
- Secure CI/CD pipeline construction
- Code scanning and vulnerability detection tools
- Dependency checking and SBOM generation
- Secrets leakage prevention in logs and build outputs
- Penetration testing policies in PaaS environments
- Security policy as code (OPA, Sentinel)
- Automated compliance validation workflows
- Disaster recovery planning for PaaS systems
- Incident response playbooks for platform incidents
Module 5: Integration and Interoperability - API-first design principles in PaaS development
- RESTful API patterns and best practices
- GraphQL integration with PaaS backends
- Webhook architecture and event subscription
- Service discovery mechanisms in platform environments
- Inter-service communication using messaging
- Message brokers: RabbitMQ, Kafka, and Pulsar on PaaS
- Event streaming and pub-sub models
- Cross-platform data synchronisation strategies
- Hybrid integration with on-prem systems
- Service-to-service authentication (mTLS)
- API gateways and rate limiting on PaaS
- Schema registry and versioning
- Data transformation pipelines
- ETL and data pipeline orchestration
- Integration middleware hosted on PaaS
- Microservices communication anti-patterns to avoid
- Async vs sync integration tradeoffs
- Dead letter queue management
- Observability for integration points
Module 6: Deployment and CI/CD Automation - Designing immutable deployment pipelines
- Code repository structure for PaaS applications
- Branching strategies (trunk-based, GitFlow)
- Build automation with declarative scripts
- Automated testing in PaaS pipelines
- Unit, integration, and end-to-end test execution
- Static code analysis integration
- Dynamic security scanning in CI/CD
- Pipeline as code (Jenkinsfile, GitHub Actions)
- Approval gates and manual intervention points
- Canary analysis with metrics validation
- Deployment progression rules and policies
- Pipeline monitoring and failure root cause analysis
- Rollback automation and triggers
- Artifact versioning and storage
- Dependency update automation
- Environment promotion workflows
- Multi-environment configuration management
- Feature flag implementation in PaaS
- Continuous verification with real-user monitoring
Module 7: Monitoring, Logging, and Observability - Establishing observability in PaaS environments
- Instrumenting applications for metrics collection
- Distributed tracing implementation
- Structured logging and JSON formatting
- Centralised log aggregation (ELK, Splunk, Grafana)
- Alerting thresholds and notification policies
- Health dashboards and KPI visualisation
- Detecting anomalies using machine learning
- Service level objectives (SLOs) and error budgets
- Incident detection and correlation
- Log retention and archival policies
- Cost-awareness in observability pipelines
- Correlating logs with traces and metrics
- Dependency mapping and topology discovery
- User journey tracing across services
- Performance degradation detection
- Alert fatigue reduction strategies
- On-call rotation and incident management
- Postmortem documentation and learning
- Observability maturity model assessment
Module 8: Data Management on PaaS - Choosing between managed SQL and NoSQL databases
- Provisioning and configuring cloud-hosted databases
- Connection pooling and query optimisation
- Database migration strategies (online, offline)
- Schemas as code and version control integration
- Backup and recovery procedures
- Point-in-time recovery and restore testing
- Read replicas and query routing
- Sharding and horizontal partitioning
- Data lifecycle management and archiving
- GDPR-compliant data deletion workflows
- Real-time analytics with streaming databases
- Caching layers to reduce database load
- Data validation and integrity checks
- Database access governance and auditing
- Zero-downtime schema migrations
- Multimaster and global database configurations
- Data sovereignty and regional compliance
- Database performance monitoring tools
- Automated index optimisation recommendations
Module 9: Cost Management and Optimisation - PaaS pricing models: subscription, pay-per-use, reserved capacity
- Analysing and forecasting PaaS spend
- Cost attribution by team, project, or service
- Tagging strategies for chargeback and showback
- Identifying idle or underutilised resources
- Right-sizing services for cost efficiency
- Auto-scaling policies to avoid over-provisioning
- Spot instances and burstable pricing tiers
- Caching and batching to reduce API calls
- Data transfer cost optimisation
- Storage tier selection and lifecycle policies
- Database cost reduction techniques
- Monitoring cost trends and anomaly detection
- Budget alerts and overspending prevention
- Cost impact analysis of architectural decisions
- FinOps principles in platform engineering
- Cross-team cost accountability frameworks
- Automated cost reporting dashboards
- Negotiating enterprise PaaS contracts
- Comparing total cost of ownership across vendors
Module 10: Governance and Platform Standardisation - Establishing PaaS governance frameworks
- Platform standards for consistency and security
- Creating reusable architecture blueprints
- Provisioning templates using Terraform and Pulumi
- Policy as code enforcement (Sentinel, OPA)
- Automated compliance checks in pipelines
- Change management and approval workflows
- Environment lifecycle management
- Naming conventions and tagging standards
- Service onboarding checklists and approval gates
- Access control and privilege escalation policies
- Technical debt tracking and remediation
- Architecture review board processes
- Design pattern library for PaaS applications
- Documentation standards and site reliability playbooks
- Training and enablement for development teams
- Feedback loops for platform improvement
- Measuring platform team effectiveness
- Developer experience (DevEx) optimisation
- Internal platform product management
Module 11: Advanced PaaS Patterns and Anti-Patterns - Multitenant SaaS architecture on PaaS
- Single tenancy vs multi-tenancy tradeoffs
- Per-tenant database isolation models
- Shared service overhead and contention risks
- Configuration drift in multi-environment setups
- The configuration by script anti-pattern
- Hardcoded secrets and credentials in code
- Over-reliance on vendor-specific features
- Tight coupling to PaaS-managed services
- Ignoring portability and abstraction layers
- Under-provisioning monitoring and observability
- Skipping load testing in PaaS environments
- Monolithic deployment on scalable platforms
- Ignoring data gravity and egress costs
- Building without failure mode analysis
- Skipping chaos engineering in PaaS testing
- Assuming PaaS eliminates SRE responsibilities
- Neglecting backup and disaster recovery testing
- Failing to establish SLOs and error budgets
- Not measuring and managing technical debt
Module 12: Real-World PaaS Solution Projects - Project 1: Building a scalable API gateway on PaaS
- Project 2: Deploying a secure, regulated data processing service
- Project 3: Creating a multi-region, high-availability microservice
- Project 4: Automating a self-healing CI/CD pipeline
- Project 5: Designing a cost-optimised analytics platform
- Defining project scope and success criteria
- Architecture decision records (ADRs) for each project
- Security and compliance checklist completion
- Performance requirement specification
- Scalability and failure mode analysis
- Resource provisioning and configuration
- Integration with monitoring and logging
- Automated testing suite implementation
- Deployment pipeline construction
- Documentation and handover preparation
- Peer review and feedback incorporation
- Final validation and certification checklist
- Presenting solution to executive stakeholders
- Measuring real-world performance post-deployment
- Improving based on operational feedback
Module 13: Certification and Career Advancement - Preparing for the final mastery assessment
- Review of cross-module integration points
- Architecture tradeoff decision exercises
- Scenario-based problem solving drills
- Evidence portfolio creation: designs, decisions, and outcomes
- Submission requirements for Certificate of Completion
- Verification process and anti-fraud measures
- Accessing your digital certificate and badge
- Adding certification to LinkedIn and CV
- Using your credential in performance reviews
- Positioning PaaS mastery in salary negotiations
- Transitioning to platform engineering roles
- Becoming an internal PaaS advocate and trainer
- Building a reputation as a trusted advisor
- Accessing alumni resources and community forums
- Continuing education pathways and advanced topics
- Staying updated with industry trends and releases
- Contributing to open-source PaaS tooling
- Speaking at conferences and tech meetups
- Next-step certifications and learning paths
- Designing immutable deployment pipelines
- Code repository structure for PaaS applications
- Branching strategies (trunk-based, GitFlow)
- Build automation with declarative scripts
- Automated testing in PaaS pipelines
- Unit, integration, and end-to-end test execution
- Static code analysis integration
- Dynamic security scanning in CI/CD
- Pipeline as code (Jenkinsfile, GitHub Actions)
- Approval gates and manual intervention points
- Canary analysis with metrics validation
- Deployment progression rules and policies
- Pipeline monitoring and failure root cause analysis
- Rollback automation and triggers
- Artifact versioning and storage
- Dependency update automation
- Environment promotion workflows
- Multi-environment configuration management
- Feature flag implementation in PaaS
- Continuous verification with real-user monitoring
Module 7: Monitoring, Logging, and Observability - Establishing observability in PaaS environments
- Instrumenting applications for metrics collection
- Distributed tracing implementation
- Structured logging and JSON formatting
- Centralised log aggregation (ELK, Splunk, Grafana)
- Alerting thresholds and notification policies
- Health dashboards and KPI visualisation
- Detecting anomalies using machine learning
- Service level objectives (SLOs) and error budgets
- Incident detection and correlation
- Log retention and archival policies
- Cost-awareness in observability pipelines
- Correlating logs with traces and metrics
- Dependency mapping and topology discovery
- User journey tracing across services
- Performance degradation detection
- Alert fatigue reduction strategies
- On-call rotation and incident management
- Postmortem documentation and learning
- Observability maturity model assessment
Module 8: Data Management on PaaS - Choosing between managed SQL and NoSQL databases
- Provisioning and configuring cloud-hosted databases
- Connection pooling and query optimisation
- Database migration strategies (online, offline)
- Schemas as code and version control integration
- Backup and recovery procedures
- Point-in-time recovery and restore testing
- Read replicas and query routing
- Sharding and horizontal partitioning
- Data lifecycle management and archiving
- GDPR-compliant data deletion workflows
- Real-time analytics with streaming databases
- Caching layers to reduce database load
- Data validation and integrity checks
- Database access governance and auditing
- Zero-downtime schema migrations
- Multimaster and global database configurations
- Data sovereignty and regional compliance
- Database performance monitoring tools
- Automated index optimisation recommendations
Module 9: Cost Management and Optimisation - PaaS pricing models: subscription, pay-per-use, reserved capacity
- Analysing and forecasting PaaS spend
- Cost attribution by team, project, or service
- Tagging strategies for chargeback and showback
- Identifying idle or underutilised resources
- Right-sizing services for cost efficiency
- Auto-scaling policies to avoid over-provisioning
- Spot instances and burstable pricing tiers
- Caching and batching to reduce API calls
- Data transfer cost optimisation
- Storage tier selection and lifecycle policies
- Database cost reduction techniques
- Monitoring cost trends and anomaly detection
- Budget alerts and overspending prevention
- Cost impact analysis of architectural decisions
- FinOps principles in platform engineering
- Cross-team cost accountability frameworks
- Automated cost reporting dashboards
- Negotiating enterprise PaaS contracts
- Comparing total cost of ownership across vendors
Module 10: Governance and Platform Standardisation - Establishing PaaS governance frameworks
- Platform standards for consistency and security
- Creating reusable architecture blueprints
- Provisioning templates using Terraform and Pulumi
- Policy as code enforcement (Sentinel, OPA)
- Automated compliance checks in pipelines
- Change management and approval workflows
- Environment lifecycle management
- Naming conventions and tagging standards
- Service onboarding checklists and approval gates
- Access control and privilege escalation policies
- Technical debt tracking and remediation
- Architecture review board processes
- Design pattern library for PaaS applications
- Documentation standards and site reliability playbooks
- Training and enablement for development teams
- Feedback loops for platform improvement
- Measuring platform team effectiveness
- Developer experience (DevEx) optimisation
- Internal platform product management
Module 11: Advanced PaaS Patterns and Anti-Patterns - Multitenant SaaS architecture on PaaS
- Single tenancy vs multi-tenancy tradeoffs
- Per-tenant database isolation models
- Shared service overhead and contention risks
- Configuration drift in multi-environment setups
- The configuration by script anti-pattern
- Hardcoded secrets and credentials in code
- Over-reliance on vendor-specific features
- Tight coupling to PaaS-managed services
- Ignoring portability and abstraction layers
- Under-provisioning monitoring and observability
- Skipping load testing in PaaS environments
- Monolithic deployment on scalable platforms
- Ignoring data gravity and egress costs
- Building without failure mode analysis
- Skipping chaos engineering in PaaS testing
- Assuming PaaS eliminates SRE responsibilities
- Neglecting backup and disaster recovery testing
- Failing to establish SLOs and error budgets
- Not measuring and managing technical debt
Module 12: Real-World PaaS Solution Projects - Project 1: Building a scalable API gateway on PaaS
- Project 2: Deploying a secure, regulated data processing service
- Project 3: Creating a multi-region, high-availability microservice
- Project 4: Automating a self-healing CI/CD pipeline
- Project 5: Designing a cost-optimised analytics platform
- Defining project scope and success criteria
- Architecture decision records (ADRs) for each project
- Security and compliance checklist completion
- Performance requirement specification
- Scalability and failure mode analysis
- Resource provisioning and configuration
- Integration with monitoring and logging
- Automated testing suite implementation
- Deployment pipeline construction
- Documentation and handover preparation
- Peer review and feedback incorporation
- Final validation and certification checklist
- Presenting solution to executive stakeholders
- Measuring real-world performance post-deployment
- Improving based on operational feedback
Module 13: Certification and Career Advancement - Preparing for the final mastery assessment
- Review of cross-module integration points
- Architecture tradeoff decision exercises
- Scenario-based problem solving drills
- Evidence portfolio creation: designs, decisions, and outcomes
- Submission requirements for Certificate of Completion
- Verification process and anti-fraud measures
- Accessing your digital certificate and badge
- Adding certification to LinkedIn and CV
- Using your credential in performance reviews
- Positioning PaaS mastery in salary negotiations
- Transitioning to platform engineering roles
- Becoming an internal PaaS advocate and trainer
- Building a reputation as a trusted advisor
- Accessing alumni resources and community forums
- Continuing education pathways and advanced topics
- Staying updated with industry trends and releases
- Contributing to open-source PaaS tooling
- Speaking at conferences and tech meetups
- Next-step certifications and learning paths
- Choosing between managed SQL and NoSQL databases
- Provisioning and configuring cloud-hosted databases
- Connection pooling and query optimisation
- Database migration strategies (online, offline)
- Schemas as code and version control integration
- Backup and recovery procedures
- Point-in-time recovery and restore testing
- Read replicas and query routing
- Sharding and horizontal partitioning
- Data lifecycle management and archiving
- GDPR-compliant data deletion workflows
- Real-time analytics with streaming databases
- Caching layers to reduce database load
- Data validation and integrity checks
- Database access governance and auditing
- Zero-downtime schema migrations
- Multimaster and global database configurations
- Data sovereignty and regional compliance
- Database performance monitoring tools
- Automated index optimisation recommendations
Module 9: Cost Management and Optimisation - PaaS pricing models: subscription, pay-per-use, reserved capacity
- Analysing and forecasting PaaS spend
- Cost attribution by team, project, or service
- Tagging strategies for chargeback and showback
- Identifying idle or underutilised resources
- Right-sizing services for cost efficiency
- Auto-scaling policies to avoid over-provisioning
- Spot instances and burstable pricing tiers
- Caching and batching to reduce API calls
- Data transfer cost optimisation
- Storage tier selection and lifecycle policies
- Database cost reduction techniques
- Monitoring cost trends and anomaly detection
- Budget alerts and overspending prevention
- Cost impact analysis of architectural decisions
- FinOps principles in platform engineering
- Cross-team cost accountability frameworks
- Automated cost reporting dashboards
- Negotiating enterprise PaaS contracts
- Comparing total cost of ownership across vendors
Module 10: Governance and Platform Standardisation - Establishing PaaS governance frameworks
- Platform standards for consistency and security
- Creating reusable architecture blueprints
- Provisioning templates using Terraform and Pulumi
- Policy as code enforcement (Sentinel, OPA)
- Automated compliance checks in pipelines
- Change management and approval workflows
- Environment lifecycle management
- Naming conventions and tagging standards
- Service onboarding checklists and approval gates
- Access control and privilege escalation policies
- Technical debt tracking and remediation
- Architecture review board processes
- Design pattern library for PaaS applications
- Documentation standards and site reliability playbooks
- Training and enablement for development teams
- Feedback loops for platform improvement
- Measuring platform team effectiveness
- Developer experience (DevEx) optimisation
- Internal platform product management
Module 11: Advanced PaaS Patterns and Anti-Patterns - Multitenant SaaS architecture on PaaS
- Single tenancy vs multi-tenancy tradeoffs
- Per-tenant database isolation models
- Shared service overhead and contention risks
- Configuration drift in multi-environment setups
- The configuration by script anti-pattern
- Hardcoded secrets and credentials in code
- Over-reliance on vendor-specific features
- Tight coupling to PaaS-managed services
- Ignoring portability and abstraction layers
- Under-provisioning monitoring and observability
- Skipping load testing in PaaS environments
- Monolithic deployment on scalable platforms
- Ignoring data gravity and egress costs
- Building without failure mode analysis
- Skipping chaos engineering in PaaS testing
- Assuming PaaS eliminates SRE responsibilities
- Neglecting backup and disaster recovery testing
- Failing to establish SLOs and error budgets
- Not measuring and managing technical debt
Module 12: Real-World PaaS Solution Projects - Project 1: Building a scalable API gateway on PaaS
- Project 2: Deploying a secure, regulated data processing service
- Project 3: Creating a multi-region, high-availability microservice
- Project 4: Automating a self-healing CI/CD pipeline
- Project 5: Designing a cost-optimised analytics platform
- Defining project scope and success criteria
- Architecture decision records (ADRs) for each project
- Security and compliance checklist completion
- Performance requirement specification
- Scalability and failure mode analysis
- Resource provisioning and configuration
- Integration with monitoring and logging
- Automated testing suite implementation
- Deployment pipeline construction
- Documentation and handover preparation
- Peer review and feedback incorporation
- Final validation and certification checklist
- Presenting solution to executive stakeholders
- Measuring real-world performance post-deployment
- Improving based on operational feedback
Module 13: Certification and Career Advancement - Preparing for the final mastery assessment
- Review of cross-module integration points
- Architecture tradeoff decision exercises
- Scenario-based problem solving drills
- Evidence portfolio creation: designs, decisions, and outcomes
- Submission requirements for Certificate of Completion
- Verification process and anti-fraud measures
- Accessing your digital certificate and badge
- Adding certification to LinkedIn and CV
- Using your credential in performance reviews
- Positioning PaaS mastery in salary negotiations
- Transitioning to platform engineering roles
- Becoming an internal PaaS advocate and trainer
- Building a reputation as a trusted advisor
- Accessing alumni resources and community forums
- Continuing education pathways and advanced topics
- Staying updated with industry trends and releases
- Contributing to open-source PaaS tooling
- Speaking at conferences and tech meetups
- Next-step certifications and learning paths
- Establishing PaaS governance frameworks
- Platform standards for consistency and security
- Creating reusable architecture blueprints
- Provisioning templates using Terraform and Pulumi
- Policy as code enforcement (Sentinel, OPA)
- Automated compliance checks in pipelines
- Change management and approval workflows
- Environment lifecycle management
- Naming conventions and tagging standards
- Service onboarding checklists and approval gates
- Access control and privilege escalation policies
- Technical debt tracking and remediation
- Architecture review board processes
- Design pattern library for PaaS applications
- Documentation standards and site reliability playbooks
- Training and enablement for development teams
- Feedback loops for platform improvement
- Measuring platform team effectiveness
- Developer experience (DevEx) optimisation
- Internal platform product management
Module 11: Advanced PaaS Patterns and Anti-Patterns - Multitenant SaaS architecture on PaaS
- Single tenancy vs multi-tenancy tradeoffs
- Per-tenant database isolation models
- Shared service overhead and contention risks
- Configuration drift in multi-environment setups
- The configuration by script anti-pattern
- Hardcoded secrets and credentials in code
- Over-reliance on vendor-specific features
- Tight coupling to PaaS-managed services
- Ignoring portability and abstraction layers
- Under-provisioning monitoring and observability
- Skipping load testing in PaaS environments
- Monolithic deployment on scalable platforms
- Ignoring data gravity and egress costs
- Building without failure mode analysis
- Skipping chaos engineering in PaaS testing
- Assuming PaaS eliminates SRE responsibilities
- Neglecting backup and disaster recovery testing
- Failing to establish SLOs and error budgets
- Not measuring and managing technical debt
Module 12: Real-World PaaS Solution Projects - Project 1: Building a scalable API gateway on PaaS
- Project 2: Deploying a secure, regulated data processing service
- Project 3: Creating a multi-region, high-availability microservice
- Project 4: Automating a self-healing CI/CD pipeline
- Project 5: Designing a cost-optimised analytics platform
- Defining project scope and success criteria
- Architecture decision records (ADRs) for each project
- Security and compliance checklist completion
- Performance requirement specification
- Scalability and failure mode analysis
- Resource provisioning and configuration
- Integration with monitoring and logging
- Automated testing suite implementation
- Deployment pipeline construction
- Documentation and handover preparation
- Peer review and feedback incorporation
- Final validation and certification checklist
- Presenting solution to executive stakeholders
- Measuring real-world performance post-deployment
- Improving based on operational feedback
Module 13: Certification and Career Advancement - Preparing for the final mastery assessment
- Review of cross-module integration points
- Architecture tradeoff decision exercises
- Scenario-based problem solving drills
- Evidence portfolio creation: designs, decisions, and outcomes
- Submission requirements for Certificate of Completion
- Verification process and anti-fraud measures
- Accessing your digital certificate and badge
- Adding certification to LinkedIn and CV
- Using your credential in performance reviews
- Positioning PaaS mastery in salary negotiations
- Transitioning to platform engineering roles
- Becoming an internal PaaS advocate and trainer
- Building a reputation as a trusted advisor
- Accessing alumni resources and community forums
- Continuing education pathways and advanced topics
- Staying updated with industry trends and releases
- Contributing to open-source PaaS tooling
- Speaking at conferences and tech meetups
- Next-step certifications and learning paths
- Project 1: Building a scalable API gateway on PaaS
- Project 2: Deploying a secure, regulated data processing service
- Project 3: Creating a multi-region, high-availability microservice
- Project 4: Automating a self-healing CI/CD pipeline
- Project 5: Designing a cost-optimised analytics platform
- Defining project scope and success criteria
- Architecture decision records (ADRs) for each project
- Security and compliance checklist completion
- Performance requirement specification
- Scalability and failure mode analysis
- Resource provisioning and configuration
- Integration with monitoring and logging
- Automated testing suite implementation
- Deployment pipeline construction
- Documentation and handover preparation
- Peer review and feedback incorporation
- Final validation and certification checklist
- Presenting solution to executive stakeholders
- Measuring real-world performance post-deployment
- Improving based on operational feedback