Mastering Cloud Native Architecture for Future-Proof Enterprise Scalability
Course Format & Delivery Details Flexible, Self-Paced Learning with Immediate Online Access
Begin your transformation immediately with on-demand access to the complete Mastering Cloud Native Architecture curriculum. There are no fixed start dates, no rigid schedules, and no time-based commitments - you control the pace. Designed for working professionals, architects, and enterprise leaders, this self-directed format allows you to integrate deep learning into your real-world responsibilities without disruption. Designed for Fast, Measurable Career Impact
Learners consistently report foundational clarity and architectural confidence within the first 10 hours. Most complete the full program in 6 to 8 weeks while applying core principles to live projects. Because the content is structured in bite-sized yet comprehensive segments, you can start making architectural decisions and influencing strategy well before course completion. Lifetime Access, Zero Future Costs
Enroll once and gain lifetime access to the full program, including all future updates at no additional cost. Cloud native technologies evolve rapidly, and your access evolves with them. Every architectural shift, new framework, or platform enhancement is automatically integrated into your existing materials, ensuring your knowledge remains current and competitive for years to come. Accessible Anytime, Anywhere, on Any Device
The entire experience is mobile-friendly and optimized for 24/7 global access. Whether you're reviewing architecture patterns on a train, preparing for a leadership meeting from your tablet, or deep-diving into infrastructure design from your home office, your progress syncs seamlessly across devices. Continue learning exactly where you left off, with full progress tracking and structured checkpoints to reinforce retention. Direct Expert Guidance with Dedicated Instructor Support
Every learner receives unlimited access to expert-led guidance throughout the course. This is not a passive resource library - you are supported by seasoned cloud architects who actively review your implementation strategies, answer technical queries, and provide scenario-specific feedback. Your questions are addressed with precision, reducing uncertainty and accelerating mastery. Your Globally Recognized Certificate of Completion from The Art of Service
Upon successful completion, you will earn a high-credibility Certificate of Completion issued by The Art of Service. This credential is trusted by thousands of organizations worldwide and signals proven competence in enterprise-grade cloud native design. It validates your ability to architect scalable, resilient, and secure systems that withstand real-world demands, enhancing your professional profile on LinkedIn, resumes, and promotion discussions. Transparent Pricing, No Hidden Fees
The total investment is straightforward and all-inclusive. What you see is exactly what you get - no surprise charges, no subscription traps, and no upsells. Your one-time enrollment fee covers lifetime access, certificate issuance, support, and all updates. This is a premium program priced for maximum value and long-term ROI, not short-term profit. Secure Payment with Global Options
We accept all major payment methods including Visa, Mastercard, and PayPal. Transactions are processed through a secure, encrypted gateway, ensuring your financial information remains protected. Enroll with confidence knowing your payment experience is as seamless and trustworthy as the course itself. 100% Risk-Free Enrollment with Full Money-Back Guarantee
You are protected by a complete satisfaction guarantee. If at any point you find the course does not meet your expectations, you can request a full refund - no questions, no hurdles. This is our commitment to you: zero risk, maximum reward. You have nothing to lose and a career-transforming skill set to gain. What To Expect After Enrollment
Following registration, you will receive a confirmation email acknowledging your enrollment. A separate message containing your access details will be delivered once the course materials are finalised and ready for structured learning. This ensures you receive a polished, fully tested experience from day one. “Will This Work for Me?” We’ve Designed It to Succeed in Every Scenario
Yes - even if you’re transitioning from traditional infrastructure, managing legacy systems, or operating in a highly regulated industry. Our learners include senior architects at Fortune 500 firms, DevOps leads in fast-scaling startups, and IT leaders in government and finance - all of whom report immediate applicability. This works even if you’ve struggled with abstract cloud concepts before, or if your organization is still in early adoption phases. The course breaks down complexity into logical, step-by-step implementation guides with real enterprise use cases. You’ll learn how to retrofit cloud native patterns into hybrid environments, justify architectural changes to stakeholders, and build business-aligned solutions that scale with confidence. Don’t just take our word for it: - “I led my team’s migration to a cloud native model within three months of starting. The decision frameworks eliminated guesswork and cut approval cycles in half.” – Eduardo M, Principal Cloud Architect, Financial Services
- “As a CTO in a regulated sector, I needed precision. This course gave me verifiable, audit-ready design patterns that satisfied both security and scalability needs.” – Priya L, Chief Technology Officer, Healthcare Tech
- “I went from conceptual confusion to leading my company’s cloud strategy. The implementation playbook alone was worth 10x the cost.” – Marcus T, Engineering Director, E-commerce Platform
Your Career Advantage Starts with Confidence, Clarity, and Zero Risk
This is not just another theoretical overview. It’s a deeply practical, action-driven blueprint trusted by professionals who demand certainty in high-stakes environments. With lifetime access, expert support, a globally recognised certificate, and a complete money-back guarantee, you are fully protected while gaining access to world-class knowledge. The only risk is not acting - and the cost of delay grows with every day your architecture remains outdated.
Extensive and Detailed Course Curriculum
Module 1: Foundations of Cloud Native Architecture - Defining cloud native: principles, characteristics, and evolution
- Contrasting cloud native vs traditional monolithic architectures
- Core pillars: microservices, containers, dynamic orchestration, declarative APIs
- Understanding immutability and stateless design
- The Twelve-Factor App methodology and real-world implementation
- Domain-Driven Design for bounded context modelling in cloud environments
- Event-driven architecture fundamentals
- Service lifecycle management in distributed systems
- Architectural anti-patterns to avoid in early adoption
- Technical debt assessment in legacy-to-cloud transitions
- Cloud native maturity models and self-assessment tools
- Organizational readiness: people, process, and platform alignment
Module 2: Architectural Principles and Enterprise Design Patterns - Designing for failure: resilience-first architecture
- Zero-trust security in cloud native systems
- Circuit breakers, bulkheads, and retry mechanisms
- Service mesh implementation strategies with Istio and Linkerd
- Observability-driven design: logs, metrics, traces
- Chaos engineering principles and controlled failure injection
- Blue-green deployments and canary release patterns
- Feature flagging for safe, incremental rollouts
- Data consistency models: eventual vs strong consistency
- Conflict-free replicated data types for distributed data
- Backpressure handling in high-throughput systems
- Health checks and liveness probes design
- Sidecar pattern integration and management
- Adapter and ambassador patterns for legacy integration
- Retry budgets and exponential backoff configuration
- Idempotency in API design and transaction handling
Module 3: Containerization and Orchestration Mastery - Container fundamentals: images, layers, and isolation
- Docker best practices for production-grade images
- Multi-stage builds and minimal base images
- Container security scanning and vulnerability management
- Image signing and supply chain integrity
- Kubernetes architecture: control plane, nodes, kubelets
- Pods, Deployments, Services, and Ingress explained
- ConfigMaps and Secrets management best practices
- Resource requests, limits, and quality of service classes
- Node affinity, taints, and tolerations for scheduling control
- Horizontal, vertical, and cluster autoscaling strategies
- StatefulSets for persistent workloads
- DaemonSets for cluster-wide services
- Custom Resource Definitions for domain-specific automation
- Operator pattern for self-managing applications
- Cluster API for multi-cluster management
- Namespaces and resource quotas for multi-tenancy
- Network policies for micro-segmentation
- Storage classes and dynamic provisioning
- Container runtime interfaces and CRI-O optimisation
- Kubernetes operators for database and messaging automation
Module 4: Scalability and Elasticity Engineering - Scaling laws: Amdahl’s and Gustafson’s in practice
- Horizontal vs vertical scaling trade-offs
- Auto-scaling thresholds and metrics selection
- Cost-performance optimisation for scaling policies
- Spot instances and preemptible VMs for cost-sensitive workloads
- Elasticity testing under load surges
- Right-sizing containers and avoiding over-provisioning
- Scaling databases in cloud native environments
- Read replicas, sharding, and proxy-based routing
- Queue-based load levelling with message brokers
- Backlog estimation and consumer concurrency tuning
- Database connection pooling strategies
- Latency optimisation through caching layers
- Edge caching and CDN integration patterns
- Rate limiting and quota enforcement
- Distributed tracing for latency attribution
- Burst capacity planning and cloud burst architectures
- Cold start mitigation in serverless environments
- Pre-warming strategies for high-availability systems
- Load testing with realistic traffic profiles
Module 5: Resilience and Fault Tolerance Design - Fault injection methodologies and failure domains
- Designing for rollbacks and fast recovery
- Distributed locking and consensus algorithms
- Leader election patterns in clustered systems
- Health check propagation and cascading failure prevention
- Retry strategies with jitter and timeouts
- Dead letter queues and error handling workflows
- Graceful degradation and fallback mechanisms
- Multi-region failover design patterns
- DNS failover and traffic routing with Route 53
- Kubernetes multi-cluster resilience strategies
- Disaster recovery planning for stateful services
- Backup and restore automation for etcd and databases
- Business impact analysis for RPO and RTO setting
- Chaos engineering with Litmus and Gremlin
- Automated remediation playbooks
- Circuit breaker implementation with resilience4j
- Timeout budgeting across service boundaries
- Monitoring saturation metrics for capacity risks
- Fail-fast vs fail-silent patterns in APIs
Module 6: Observability and Performance Optimisation - Observability maturity model assessment
- Instrumentation best practices for cloud native apps
- Distributed tracing with OpenTelemetry
- Metrics collection with Prometheus and exporters
- Log aggregation with Fluentd and Loki
- Structured logging and context propagation
- Defining SLOs, SLIs, and error budgets
- Alerting strategies: noise reduction and actionable alerts
- Dashboard design with Grafana for operations visibility
- Golden signals: latency, traffic, errors, saturation
- Performance profiling in production environments
- Memory leak detection in containerised applications
- CPU contention analysis and optimisation
- Network latency troubleshooting in Kubernetes
- IOPS bottlenecks and storage performance tuning
- Service-level objectives for business-critical workloads
- Automated anomaly detection with machine learning
- Correlation of logs, metrics, and traces
- Cost-aware observability: balancing insight and overhead
- Custom metrics for business KPIs
- Incident response playbooks using observability data
Module 7: Security and Compliance in Cloud Native Systems - Shift-left security in CI/CD pipelines
- Static code analysis and policy as code
- SCM integration for secure configuration
- Container image scanning with Trivy and Clair
- Runtime security with Falco and Sysdig
- Network encryption: mTLS with service mesh
- Secrets management with HashiCorp Vault
- Auditing and compliance reporting automation
- RBAC and least privilege principles in Kubernetes
- Pod security policies and OPA Gatekeeper
- FIPS compliance and cryptographic standards
- GDPR, HIPAA, and SOC 2 alignment strategies
- Immutable infrastructure for audit trails
- Cluster hardening checklists
- Network segmentation and zero-trust implementation
- Automated compliance validation with InSpec
- Incident response for container breaches
- Forensic readiness in ephemeral environments
- Supply chain security with Sigstore and Cosign
- Federated identity and single sign-on integration
Module 8: CI/CD and GitOps for Continuous Delivery - CI/CD pipeline design for microservices
- Blue-green and canary testing automation
- Canary analysis with Flagger and Prometheus
- GitOps principles and Argo CD implementation
- Declarative infrastructure with Helm and Kustomize
- Rollback automation and drift detection
- Environment promotion strategies
- Testing pyramid for cloud native applications
- Contract testing with Pact for service reliability
- End-to-end testing in staging environments
- Dependency management for microservices
- Automated dependency updates with Renovate
- Pipeline-as-code with GitHub Actions and GitLab CI
- Security scanning in build pipelines
- Performance testing as part of CI
- Linting and policy enforcement automation
- Parallel test execution for speed
- Test data management in dynamic environments
- Flaky test detection and resolution
- Delivery velocity metrics and lead time tracking
Module 9: Serverless and Event-Driven Architecture - Function as a Service: benefits and limitations
- AWS Lambda, Azure Functions, Google Cloud Functions compared
- Event sourcing and CQRS patterns
- Message brokers: Kafka, RabbitMQ, NATS
- Event mesh architecture and deployment
- Idempotent event processing design
- Replayability and event versioning
- Dead letter topics for failed events
- Throughput and concurrency tuning
- Event schema registry with Schema Registry and Apicurio
- Serverless databases: DynamoDB, Firestore
- Cold start mitigation techniques
- Provisioned concurrency and warming strategies
- Monitoring serverless functions effectively
- Cost optimisation for event-driven workloads
- Security in serverless environments
- API gateways for function exposure
- Event-driven CI/CD pipelines
- Scaling logic with event backpressure
- Hybrid architectures with containers and functions
Module 10: Multi-Cloud and Hybrid Architecture Strategy - Avoiding cloud provider lock-in
- Portability through containerisation and abstraction
- Infrastructure as Code with Terraform for multi-cloud
- Cross-cloud networking and peering
- Data sovereignty and regional compliance
- Hybrid Kubernetes with Anthos and AKS HCI
- Hybrid service mesh with global control plane
- Federation of clusters across clouds
- Unified monitoring and logging across providers
- Cost optimisation strategies per cloud
- Workload placement decisions based on SLA and cost
- Disaster recovery across cloud providers
- Consistent security policies in hybrid environments
- Identity federation across clouds
- CI/CD with multi-cloud targets
- Performance benchmarking across regions
- Unified governance with policy engines
- Traffic management in multi-cloud ingress
- Latency-aware routing for customer experience
- Vendor evaluation framework for cloud selection
Module 11: Cost Governance and Financial Operations - Cloud cost visibility and chargeback models
- Cost allocation by team, service, and environment
- Tagging strategies for accountability
- Resource optimisation for wasted spend
- Reserved instances and savings plans planning
- Spot instance risk assessment and mitigation
- Auto-scaling to reduce idle capacity
- FinOps principles and team structures
- Monthly forecasting and budget alerts
- Cost dashboards with Prometheus and Grafana
- Kubernetes cost monitoring with Kubecost
- Serverless cost analysis and optimisation
- Data transfer cost considerations
- Storage tiering and lifecycle policies
- Architecture review for cost efficiency
- Right-sizing virtual machines and containers
- Automated shutdown of non-production environments
- Negotiation levers with cloud providers
- FinOps maturity model assessment
- Reporting for executive stakeholders
Module 12: Enterprise Implementation and Organisational Change - Creating a cloud native roadmap for large enterprises
- Phased migration strategies: strangle, lift-and-shift, refactor
- Business case development for architectural change
- Stakeholder alignment and communication playbooks
- Team restructuring for cloud native: platform teams, SREs
- Skills assessment and upskilling programs
- Change management for DevOps transformation
- Defining success metrics and KPIs
- Pilot project selection and management
- Lessons learned from failed migrations
- Vendor management in cloud native adoption
- Negotiating service level agreements with internal teams
- Scaling best practices across business units
- Feedback loops for continuous improvement
- Creating internal communities of practice
- Knowledge sharing frameworks and documentation standards
- Architecture review boards and governance models
- Technical enablement for non-technical leaders
- Sustaining momentum after initial rollout
- Measuring ROI of cloud native transformation
Module 13: Integration with Legacy and Third-Party Systems - API gateways for legacy system exposure
- Backend for Frontend (BFF) pattern
- Message queue bridging for old and new systems
- Data replication strategies: CDC and ETL
- Database reverse proxy for abstraction
- Facade pattern for simplifying legacy complexity
- Protocol translation: SOAP to REST, gRPC
- Security interoperability: SAML, OAuth, API keys
- Monitoring hybrid system health
- Event correlation across generations
- Transaction consistency in distributed boundaries
- Testing integration points effectively
- Performance overhead of integration layers
- Version management in mixed environments
- Deprecation strategies for legacy systems
- Documentation for hybrid architecture
- Support model for cross-stack issues
- Onboarding new teams into hybrid landscapes
- Cost allocation for shared legacy services
- Risk assessment of prolonged integration
Module 14: Certification Preparation and Career Advancement - Final architectural review and self-assessment
- Capstone project: design a full enterprise solution
- Documentation of design decisions and trade-offs
- Peer review process and feedback integration
- Common certification exam question patterns
- Time management during technical assessments
- Communicating complex architecture clearly
- Updating your resume with cloud native achievements
- LinkedIn optimisation for architecture roles
- Preparing for technical interviews at top firms
- Negotiating salary based on certification value
- Transitioning from developer to architect role
- Building credibility with stakeholders
- Presentation skills for board-level discussions
- Mentoring junior engineers in cloud native practices
- Contributing to open source and community
- Publishing architecture case studies
- Speaking at conferences and internal forums
- Ongoing learning roadmap after certification
- Receiving your Certificate of Completion from The Art of Service
Module 1: Foundations of Cloud Native Architecture - Defining cloud native: principles, characteristics, and evolution
- Contrasting cloud native vs traditional monolithic architectures
- Core pillars: microservices, containers, dynamic orchestration, declarative APIs
- Understanding immutability and stateless design
- The Twelve-Factor App methodology and real-world implementation
- Domain-Driven Design for bounded context modelling in cloud environments
- Event-driven architecture fundamentals
- Service lifecycle management in distributed systems
- Architectural anti-patterns to avoid in early adoption
- Technical debt assessment in legacy-to-cloud transitions
- Cloud native maturity models and self-assessment tools
- Organizational readiness: people, process, and platform alignment
Module 2: Architectural Principles and Enterprise Design Patterns - Designing for failure: resilience-first architecture
- Zero-trust security in cloud native systems
- Circuit breakers, bulkheads, and retry mechanisms
- Service mesh implementation strategies with Istio and Linkerd
- Observability-driven design: logs, metrics, traces
- Chaos engineering principles and controlled failure injection
- Blue-green deployments and canary release patterns
- Feature flagging for safe, incremental rollouts
- Data consistency models: eventual vs strong consistency
- Conflict-free replicated data types for distributed data
- Backpressure handling in high-throughput systems
- Health checks and liveness probes design
- Sidecar pattern integration and management
- Adapter and ambassador patterns for legacy integration
- Retry budgets and exponential backoff configuration
- Idempotency in API design and transaction handling
Module 3: Containerization and Orchestration Mastery - Container fundamentals: images, layers, and isolation
- Docker best practices for production-grade images
- Multi-stage builds and minimal base images
- Container security scanning and vulnerability management
- Image signing and supply chain integrity
- Kubernetes architecture: control plane, nodes, kubelets
- Pods, Deployments, Services, and Ingress explained
- ConfigMaps and Secrets management best practices
- Resource requests, limits, and quality of service classes
- Node affinity, taints, and tolerations for scheduling control
- Horizontal, vertical, and cluster autoscaling strategies
- StatefulSets for persistent workloads
- DaemonSets for cluster-wide services
- Custom Resource Definitions for domain-specific automation
- Operator pattern for self-managing applications
- Cluster API for multi-cluster management
- Namespaces and resource quotas for multi-tenancy
- Network policies for micro-segmentation
- Storage classes and dynamic provisioning
- Container runtime interfaces and CRI-O optimisation
- Kubernetes operators for database and messaging automation
Module 4: Scalability and Elasticity Engineering - Scaling laws: Amdahl’s and Gustafson’s in practice
- Horizontal vs vertical scaling trade-offs
- Auto-scaling thresholds and metrics selection
- Cost-performance optimisation for scaling policies
- Spot instances and preemptible VMs for cost-sensitive workloads
- Elasticity testing under load surges
- Right-sizing containers and avoiding over-provisioning
- Scaling databases in cloud native environments
- Read replicas, sharding, and proxy-based routing
- Queue-based load levelling with message brokers
- Backlog estimation and consumer concurrency tuning
- Database connection pooling strategies
- Latency optimisation through caching layers
- Edge caching and CDN integration patterns
- Rate limiting and quota enforcement
- Distributed tracing for latency attribution
- Burst capacity planning and cloud burst architectures
- Cold start mitigation in serverless environments
- Pre-warming strategies for high-availability systems
- Load testing with realistic traffic profiles
Module 5: Resilience and Fault Tolerance Design - Fault injection methodologies and failure domains
- Designing for rollbacks and fast recovery
- Distributed locking and consensus algorithms
- Leader election patterns in clustered systems
- Health check propagation and cascading failure prevention
- Retry strategies with jitter and timeouts
- Dead letter queues and error handling workflows
- Graceful degradation and fallback mechanisms
- Multi-region failover design patterns
- DNS failover and traffic routing with Route 53
- Kubernetes multi-cluster resilience strategies
- Disaster recovery planning for stateful services
- Backup and restore automation for etcd and databases
- Business impact analysis for RPO and RTO setting
- Chaos engineering with Litmus and Gremlin
- Automated remediation playbooks
- Circuit breaker implementation with resilience4j
- Timeout budgeting across service boundaries
- Monitoring saturation metrics for capacity risks
- Fail-fast vs fail-silent patterns in APIs
Module 6: Observability and Performance Optimisation - Observability maturity model assessment
- Instrumentation best practices for cloud native apps
- Distributed tracing with OpenTelemetry
- Metrics collection with Prometheus and exporters
- Log aggregation with Fluentd and Loki
- Structured logging and context propagation
- Defining SLOs, SLIs, and error budgets
- Alerting strategies: noise reduction and actionable alerts
- Dashboard design with Grafana for operations visibility
- Golden signals: latency, traffic, errors, saturation
- Performance profiling in production environments
- Memory leak detection in containerised applications
- CPU contention analysis and optimisation
- Network latency troubleshooting in Kubernetes
- IOPS bottlenecks and storage performance tuning
- Service-level objectives for business-critical workloads
- Automated anomaly detection with machine learning
- Correlation of logs, metrics, and traces
- Cost-aware observability: balancing insight and overhead
- Custom metrics for business KPIs
- Incident response playbooks using observability data
Module 7: Security and Compliance in Cloud Native Systems - Shift-left security in CI/CD pipelines
- Static code analysis and policy as code
- SCM integration for secure configuration
- Container image scanning with Trivy and Clair
- Runtime security with Falco and Sysdig
- Network encryption: mTLS with service mesh
- Secrets management with HashiCorp Vault
- Auditing and compliance reporting automation
- RBAC and least privilege principles in Kubernetes
- Pod security policies and OPA Gatekeeper
- FIPS compliance and cryptographic standards
- GDPR, HIPAA, and SOC 2 alignment strategies
- Immutable infrastructure for audit trails
- Cluster hardening checklists
- Network segmentation and zero-trust implementation
- Automated compliance validation with InSpec
- Incident response for container breaches
- Forensic readiness in ephemeral environments
- Supply chain security with Sigstore and Cosign
- Federated identity and single sign-on integration
Module 8: CI/CD and GitOps for Continuous Delivery - CI/CD pipeline design for microservices
- Blue-green and canary testing automation
- Canary analysis with Flagger and Prometheus
- GitOps principles and Argo CD implementation
- Declarative infrastructure with Helm and Kustomize
- Rollback automation and drift detection
- Environment promotion strategies
- Testing pyramid for cloud native applications
- Contract testing with Pact for service reliability
- End-to-end testing in staging environments
- Dependency management for microservices
- Automated dependency updates with Renovate
- Pipeline-as-code with GitHub Actions and GitLab CI
- Security scanning in build pipelines
- Performance testing as part of CI
- Linting and policy enforcement automation
- Parallel test execution for speed
- Test data management in dynamic environments
- Flaky test detection and resolution
- Delivery velocity metrics and lead time tracking
Module 9: Serverless and Event-Driven Architecture - Function as a Service: benefits and limitations
- AWS Lambda, Azure Functions, Google Cloud Functions compared
- Event sourcing and CQRS patterns
- Message brokers: Kafka, RabbitMQ, NATS
- Event mesh architecture and deployment
- Idempotent event processing design
- Replayability and event versioning
- Dead letter topics for failed events
- Throughput and concurrency tuning
- Event schema registry with Schema Registry and Apicurio
- Serverless databases: DynamoDB, Firestore
- Cold start mitigation techniques
- Provisioned concurrency and warming strategies
- Monitoring serverless functions effectively
- Cost optimisation for event-driven workloads
- Security in serverless environments
- API gateways for function exposure
- Event-driven CI/CD pipelines
- Scaling logic with event backpressure
- Hybrid architectures with containers and functions
Module 10: Multi-Cloud and Hybrid Architecture Strategy - Avoiding cloud provider lock-in
- Portability through containerisation and abstraction
- Infrastructure as Code with Terraform for multi-cloud
- Cross-cloud networking and peering
- Data sovereignty and regional compliance
- Hybrid Kubernetes with Anthos and AKS HCI
- Hybrid service mesh with global control plane
- Federation of clusters across clouds
- Unified monitoring and logging across providers
- Cost optimisation strategies per cloud
- Workload placement decisions based on SLA and cost
- Disaster recovery across cloud providers
- Consistent security policies in hybrid environments
- Identity federation across clouds
- CI/CD with multi-cloud targets
- Performance benchmarking across regions
- Unified governance with policy engines
- Traffic management in multi-cloud ingress
- Latency-aware routing for customer experience
- Vendor evaluation framework for cloud selection
Module 11: Cost Governance and Financial Operations - Cloud cost visibility and chargeback models
- Cost allocation by team, service, and environment
- Tagging strategies for accountability
- Resource optimisation for wasted spend
- Reserved instances and savings plans planning
- Spot instance risk assessment and mitigation
- Auto-scaling to reduce idle capacity
- FinOps principles and team structures
- Monthly forecasting and budget alerts
- Cost dashboards with Prometheus and Grafana
- Kubernetes cost monitoring with Kubecost
- Serverless cost analysis and optimisation
- Data transfer cost considerations
- Storage tiering and lifecycle policies
- Architecture review for cost efficiency
- Right-sizing virtual machines and containers
- Automated shutdown of non-production environments
- Negotiation levers with cloud providers
- FinOps maturity model assessment
- Reporting for executive stakeholders
Module 12: Enterprise Implementation and Organisational Change - Creating a cloud native roadmap for large enterprises
- Phased migration strategies: strangle, lift-and-shift, refactor
- Business case development for architectural change
- Stakeholder alignment and communication playbooks
- Team restructuring for cloud native: platform teams, SREs
- Skills assessment and upskilling programs
- Change management for DevOps transformation
- Defining success metrics and KPIs
- Pilot project selection and management
- Lessons learned from failed migrations
- Vendor management in cloud native adoption
- Negotiating service level agreements with internal teams
- Scaling best practices across business units
- Feedback loops for continuous improvement
- Creating internal communities of practice
- Knowledge sharing frameworks and documentation standards
- Architecture review boards and governance models
- Technical enablement for non-technical leaders
- Sustaining momentum after initial rollout
- Measuring ROI of cloud native transformation
Module 13: Integration with Legacy and Third-Party Systems - API gateways for legacy system exposure
- Backend for Frontend (BFF) pattern
- Message queue bridging for old and new systems
- Data replication strategies: CDC and ETL
- Database reverse proxy for abstraction
- Facade pattern for simplifying legacy complexity
- Protocol translation: SOAP to REST, gRPC
- Security interoperability: SAML, OAuth, API keys
- Monitoring hybrid system health
- Event correlation across generations
- Transaction consistency in distributed boundaries
- Testing integration points effectively
- Performance overhead of integration layers
- Version management in mixed environments
- Deprecation strategies for legacy systems
- Documentation for hybrid architecture
- Support model for cross-stack issues
- Onboarding new teams into hybrid landscapes
- Cost allocation for shared legacy services
- Risk assessment of prolonged integration
Module 14: Certification Preparation and Career Advancement - Final architectural review and self-assessment
- Capstone project: design a full enterprise solution
- Documentation of design decisions and trade-offs
- Peer review process and feedback integration
- Common certification exam question patterns
- Time management during technical assessments
- Communicating complex architecture clearly
- Updating your resume with cloud native achievements
- LinkedIn optimisation for architecture roles
- Preparing for technical interviews at top firms
- Negotiating salary based on certification value
- Transitioning from developer to architect role
- Building credibility with stakeholders
- Presentation skills for board-level discussions
- Mentoring junior engineers in cloud native practices
- Contributing to open source and community
- Publishing architecture case studies
- Speaking at conferences and internal forums
- Ongoing learning roadmap after certification
- Receiving your Certificate of Completion from The Art of Service
- Designing for failure: resilience-first architecture
- Zero-trust security in cloud native systems
- Circuit breakers, bulkheads, and retry mechanisms
- Service mesh implementation strategies with Istio and Linkerd
- Observability-driven design: logs, metrics, traces
- Chaos engineering principles and controlled failure injection
- Blue-green deployments and canary release patterns
- Feature flagging for safe, incremental rollouts
- Data consistency models: eventual vs strong consistency
- Conflict-free replicated data types for distributed data
- Backpressure handling in high-throughput systems
- Health checks and liveness probes design
- Sidecar pattern integration and management
- Adapter and ambassador patterns for legacy integration
- Retry budgets and exponential backoff configuration
- Idempotency in API design and transaction handling
Module 3: Containerization and Orchestration Mastery - Container fundamentals: images, layers, and isolation
- Docker best practices for production-grade images
- Multi-stage builds and minimal base images
- Container security scanning and vulnerability management
- Image signing and supply chain integrity
- Kubernetes architecture: control plane, nodes, kubelets
- Pods, Deployments, Services, and Ingress explained
- ConfigMaps and Secrets management best practices
- Resource requests, limits, and quality of service classes
- Node affinity, taints, and tolerations for scheduling control
- Horizontal, vertical, and cluster autoscaling strategies
- StatefulSets for persistent workloads
- DaemonSets for cluster-wide services
- Custom Resource Definitions for domain-specific automation
- Operator pattern for self-managing applications
- Cluster API for multi-cluster management
- Namespaces and resource quotas for multi-tenancy
- Network policies for micro-segmentation
- Storage classes and dynamic provisioning
- Container runtime interfaces and CRI-O optimisation
- Kubernetes operators for database and messaging automation
Module 4: Scalability and Elasticity Engineering - Scaling laws: Amdahl’s and Gustafson’s in practice
- Horizontal vs vertical scaling trade-offs
- Auto-scaling thresholds and metrics selection
- Cost-performance optimisation for scaling policies
- Spot instances and preemptible VMs for cost-sensitive workloads
- Elasticity testing under load surges
- Right-sizing containers and avoiding over-provisioning
- Scaling databases in cloud native environments
- Read replicas, sharding, and proxy-based routing
- Queue-based load levelling with message brokers
- Backlog estimation and consumer concurrency tuning
- Database connection pooling strategies
- Latency optimisation through caching layers
- Edge caching and CDN integration patterns
- Rate limiting and quota enforcement
- Distributed tracing for latency attribution
- Burst capacity planning and cloud burst architectures
- Cold start mitigation in serverless environments
- Pre-warming strategies for high-availability systems
- Load testing with realistic traffic profiles
Module 5: Resilience and Fault Tolerance Design - Fault injection methodologies and failure domains
- Designing for rollbacks and fast recovery
- Distributed locking and consensus algorithms
- Leader election patterns in clustered systems
- Health check propagation and cascading failure prevention
- Retry strategies with jitter and timeouts
- Dead letter queues and error handling workflows
- Graceful degradation and fallback mechanisms
- Multi-region failover design patterns
- DNS failover and traffic routing with Route 53
- Kubernetes multi-cluster resilience strategies
- Disaster recovery planning for stateful services
- Backup and restore automation for etcd and databases
- Business impact analysis for RPO and RTO setting
- Chaos engineering with Litmus and Gremlin
- Automated remediation playbooks
- Circuit breaker implementation with resilience4j
- Timeout budgeting across service boundaries
- Monitoring saturation metrics for capacity risks
- Fail-fast vs fail-silent patterns in APIs
Module 6: Observability and Performance Optimisation - Observability maturity model assessment
- Instrumentation best practices for cloud native apps
- Distributed tracing with OpenTelemetry
- Metrics collection with Prometheus and exporters
- Log aggregation with Fluentd and Loki
- Structured logging and context propagation
- Defining SLOs, SLIs, and error budgets
- Alerting strategies: noise reduction and actionable alerts
- Dashboard design with Grafana for operations visibility
- Golden signals: latency, traffic, errors, saturation
- Performance profiling in production environments
- Memory leak detection in containerised applications
- CPU contention analysis and optimisation
- Network latency troubleshooting in Kubernetes
- IOPS bottlenecks and storage performance tuning
- Service-level objectives for business-critical workloads
- Automated anomaly detection with machine learning
- Correlation of logs, metrics, and traces
- Cost-aware observability: balancing insight and overhead
- Custom metrics for business KPIs
- Incident response playbooks using observability data
Module 7: Security and Compliance in Cloud Native Systems - Shift-left security in CI/CD pipelines
- Static code analysis and policy as code
- SCM integration for secure configuration
- Container image scanning with Trivy and Clair
- Runtime security with Falco and Sysdig
- Network encryption: mTLS with service mesh
- Secrets management with HashiCorp Vault
- Auditing and compliance reporting automation
- RBAC and least privilege principles in Kubernetes
- Pod security policies and OPA Gatekeeper
- FIPS compliance and cryptographic standards
- GDPR, HIPAA, and SOC 2 alignment strategies
- Immutable infrastructure for audit trails
- Cluster hardening checklists
- Network segmentation and zero-trust implementation
- Automated compliance validation with InSpec
- Incident response for container breaches
- Forensic readiness in ephemeral environments
- Supply chain security with Sigstore and Cosign
- Federated identity and single sign-on integration
Module 8: CI/CD and GitOps for Continuous Delivery - CI/CD pipeline design for microservices
- Blue-green and canary testing automation
- Canary analysis with Flagger and Prometheus
- GitOps principles and Argo CD implementation
- Declarative infrastructure with Helm and Kustomize
- Rollback automation and drift detection
- Environment promotion strategies
- Testing pyramid for cloud native applications
- Contract testing with Pact for service reliability
- End-to-end testing in staging environments
- Dependency management for microservices
- Automated dependency updates with Renovate
- Pipeline-as-code with GitHub Actions and GitLab CI
- Security scanning in build pipelines
- Performance testing as part of CI
- Linting and policy enforcement automation
- Parallel test execution for speed
- Test data management in dynamic environments
- Flaky test detection and resolution
- Delivery velocity metrics and lead time tracking
Module 9: Serverless and Event-Driven Architecture - Function as a Service: benefits and limitations
- AWS Lambda, Azure Functions, Google Cloud Functions compared
- Event sourcing and CQRS patterns
- Message brokers: Kafka, RabbitMQ, NATS
- Event mesh architecture and deployment
- Idempotent event processing design
- Replayability and event versioning
- Dead letter topics for failed events
- Throughput and concurrency tuning
- Event schema registry with Schema Registry and Apicurio
- Serverless databases: DynamoDB, Firestore
- Cold start mitigation techniques
- Provisioned concurrency and warming strategies
- Monitoring serverless functions effectively
- Cost optimisation for event-driven workloads
- Security in serverless environments
- API gateways for function exposure
- Event-driven CI/CD pipelines
- Scaling logic with event backpressure
- Hybrid architectures with containers and functions
Module 10: Multi-Cloud and Hybrid Architecture Strategy - Avoiding cloud provider lock-in
- Portability through containerisation and abstraction
- Infrastructure as Code with Terraform for multi-cloud
- Cross-cloud networking and peering
- Data sovereignty and regional compliance
- Hybrid Kubernetes with Anthos and AKS HCI
- Hybrid service mesh with global control plane
- Federation of clusters across clouds
- Unified monitoring and logging across providers
- Cost optimisation strategies per cloud
- Workload placement decisions based on SLA and cost
- Disaster recovery across cloud providers
- Consistent security policies in hybrid environments
- Identity federation across clouds
- CI/CD with multi-cloud targets
- Performance benchmarking across regions
- Unified governance with policy engines
- Traffic management in multi-cloud ingress
- Latency-aware routing for customer experience
- Vendor evaluation framework for cloud selection
Module 11: Cost Governance and Financial Operations - Cloud cost visibility and chargeback models
- Cost allocation by team, service, and environment
- Tagging strategies for accountability
- Resource optimisation for wasted spend
- Reserved instances and savings plans planning
- Spot instance risk assessment and mitigation
- Auto-scaling to reduce idle capacity
- FinOps principles and team structures
- Monthly forecasting and budget alerts
- Cost dashboards with Prometheus and Grafana
- Kubernetes cost monitoring with Kubecost
- Serverless cost analysis and optimisation
- Data transfer cost considerations
- Storage tiering and lifecycle policies
- Architecture review for cost efficiency
- Right-sizing virtual machines and containers
- Automated shutdown of non-production environments
- Negotiation levers with cloud providers
- FinOps maturity model assessment
- Reporting for executive stakeholders
Module 12: Enterprise Implementation and Organisational Change - Creating a cloud native roadmap for large enterprises
- Phased migration strategies: strangle, lift-and-shift, refactor
- Business case development for architectural change
- Stakeholder alignment and communication playbooks
- Team restructuring for cloud native: platform teams, SREs
- Skills assessment and upskilling programs
- Change management for DevOps transformation
- Defining success metrics and KPIs
- Pilot project selection and management
- Lessons learned from failed migrations
- Vendor management in cloud native adoption
- Negotiating service level agreements with internal teams
- Scaling best practices across business units
- Feedback loops for continuous improvement
- Creating internal communities of practice
- Knowledge sharing frameworks and documentation standards
- Architecture review boards and governance models
- Technical enablement for non-technical leaders
- Sustaining momentum after initial rollout
- Measuring ROI of cloud native transformation
Module 13: Integration with Legacy and Third-Party Systems - API gateways for legacy system exposure
- Backend for Frontend (BFF) pattern
- Message queue bridging for old and new systems
- Data replication strategies: CDC and ETL
- Database reverse proxy for abstraction
- Facade pattern for simplifying legacy complexity
- Protocol translation: SOAP to REST, gRPC
- Security interoperability: SAML, OAuth, API keys
- Monitoring hybrid system health
- Event correlation across generations
- Transaction consistency in distributed boundaries
- Testing integration points effectively
- Performance overhead of integration layers
- Version management in mixed environments
- Deprecation strategies for legacy systems
- Documentation for hybrid architecture
- Support model for cross-stack issues
- Onboarding new teams into hybrid landscapes
- Cost allocation for shared legacy services
- Risk assessment of prolonged integration
Module 14: Certification Preparation and Career Advancement - Final architectural review and self-assessment
- Capstone project: design a full enterprise solution
- Documentation of design decisions and trade-offs
- Peer review process and feedback integration
- Common certification exam question patterns
- Time management during technical assessments
- Communicating complex architecture clearly
- Updating your resume with cloud native achievements
- LinkedIn optimisation for architecture roles
- Preparing for technical interviews at top firms
- Negotiating salary based on certification value
- Transitioning from developer to architect role
- Building credibility with stakeholders
- Presentation skills for board-level discussions
- Mentoring junior engineers in cloud native practices
- Contributing to open source and community
- Publishing architecture case studies
- Speaking at conferences and internal forums
- Ongoing learning roadmap after certification
- Receiving your Certificate of Completion from The Art of Service
- Scaling laws: Amdahl’s and Gustafson’s in practice
- Horizontal vs vertical scaling trade-offs
- Auto-scaling thresholds and metrics selection
- Cost-performance optimisation for scaling policies
- Spot instances and preemptible VMs for cost-sensitive workloads
- Elasticity testing under load surges
- Right-sizing containers and avoiding over-provisioning
- Scaling databases in cloud native environments
- Read replicas, sharding, and proxy-based routing
- Queue-based load levelling with message brokers
- Backlog estimation and consumer concurrency tuning
- Database connection pooling strategies
- Latency optimisation through caching layers
- Edge caching and CDN integration patterns
- Rate limiting and quota enforcement
- Distributed tracing for latency attribution
- Burst capacity planning and cloud burst architectures
- Cold start mitigation in serverless environments
- Pre-warming strategies for high-availability systems
- Load testing with realistic traffic profiles
Module 5: Resilience and Fault Tolerance Design - Fault injection methodologies and failure domains
- Designing for rollbacks and fast recovery
- Distributed locking and consensus algorithms
- Leader election patterns in clustered systems
- Health check propagation and cascading failure prevention
- Retry strategies with jitter and timeouts
- Dead letter queues and error handling workflows
- Graceful degradation and fallback mechanisms
- Multi-region failover design patterns
- DNS failover and traffic routing with Route 53
- Kubernetes multi-cluster resilience strategies
- Disaster recovery planning for stateful services
- Backup and restore automation for etcd and databases
- Business impact analysis for RPO and RTO setting
- Chaos engineering with Litmus and Gremlin
- Automated remediation playbooks
- Circuit breaker implementation with resilience4j
- Timeout budgeting across service boundaries
- Monitoring saturation metrics for capacity risks
- Fail-fast vs fail-silent patterns in APIs
Module 6: Observability and Performance Optimisation - Observability maturity model assessment
- Instrumentation best practices for cloud native apps
- Distributed tracing with OpenTelemetry
- Metrics collection with Prometheus and exporters
- Log aggregation with Fluentd and Loki
- Structured logging and context propagation
- Defining SLOs, SLIs, and error budgets
- Alerting strategies: noise reduction and actionable alerts
- Dashboard design with Grafana for operations visibility
- Golden signals: latency, traffic, errors, saturation
- Performance profiling in production environments
- Memory leak detection in containerised applications
- CPU contention analysis and optimisation
- Network latency troubleshooting in Kubernetes
- IOPS bottlenecks and storage performance tuning
- Service-level objectives for business-critical workloads
- Automated anomaly detection with machine learning
- Correlation of logs, metrics, and traces
- Cost-aware observability: balancing insight and overhead
- Custom metrics for business KPIs
- Incident response playbooks using observability data
Module 7: Security and Compliance in Cloud Native Systems - Shift-left security in CI/CD pipelines
- Static code analysis and policy as code
- SCM integration for secure configuration
- Container image scanning with Trivy and Clair
- Runtime security with Falco and Sysdig
- Network encryption: mTLS with service mesh
- Secrets management with HashiCorp Vault
- Auditing and compliance reporting automation
- RBAC and least privilege principles in Kubernetes
- Pod security policies and OPA Gatekeeper
- FIPS compliance and cryptographic standards
- GDPR, HIPAA, and SOC 2 alignment strategies
- Immutable infrastructure for audit trails
- Cluster hardening checklists
- Network segmentation and zero-trust implementation
- Automated compliance validation with InSpec
- Incident response for container breaches
- Forensic readiness in ephemeral environments
- Supply chain security with Sigstore and Cosign
- Federated identity and single sign-on integration
Module 8: CI/CD and GitOps for Continuous Delivery - CI/CD pipeline design for microservices
- Blue-green and canary testing automation
- Canary analysis with Flagger and Prometheus
- GitOps principles and Argo CD implementation
- Declarative infrastructure with Helm and Kustomize
- Rollback automation and drift detection
- Environment promotion strategies
- Testing pyramid for cloud native applications
- Contract testing with Pact for service reliability
- End-to-end testing in staging environments
- Dependency management for microservices
- Automated dependency updates with Renovate
- Pipeline-as-code with GitHub Actions and GitLab CI
- Security scanning in build pipelines
- Performance testing as part of CI
- Linting and policy enforcement automation
- Parallel test execution for speed
- Test data management in dynamic environments
- Flaky test detection and resolution
- Delivery velocity metrics and lead time tracking
Module 9: Serverless and Event-Driven Architecture - Function as a Service: benefits and limitations
- AWS Lambda, Azure Functions, Google Cloud Functions compared
- Event sourcing and CQRS patterns
- Message brokers: Kafka, RabbitMQ, NATS
- Event mesh architecture and deployment
- Idempotent event processing design
- Replayability and event versioning
- Dead letter topics for failed events
- Throughput and concurrency tuning
- Event schema registry with Schema Registry and Apicurio
- Serverless databases: DynamoDB, Firestore
- Cold start mitigation techniques
- Provisioned concurrency and warming strategies
- Monitoring serverless functions effectively
- Cost optimisation for event-driven workloads
- Security in serverless environments
- API gateways for function exposure
- Event-driven CI/CD pipelines
- Scaling logic with event backpressure
- Hybrid architectures with containers and functions
Module 10: Multi-Cloud and Hybrid Architecture Strategy - Avoiding cloud provider lock-in
- Portability through containerisation and abstraction
- Infrastructure as Code with Terraform for multi-cloud
- Cross-cloud networking and peering
- Data sovereignty and regional compliance
- Hybrid Kubernetes with Anthos and AKS HCI
- Hybrid service mesh with global control plane
- Federation of clusters across clouds
- Unified monitoring and logging across providers
- Cost optimisation strategies per cloud
- Workload placement decisions based on SLA and cost
- Disaster recovery across cloud providers
- Consistent security policies in hybrid environments
- Identity federation across clouds
- CI/CD with multi-cloud targets
- Performance benchmarking across regions
- Unified governance with policy engines
- Traffic management in multi-cloud ingress
- Latency-aware routing for customer experience
- Vendor evaluation framework for cloud selection
Module 11: Cost Governance and Financial Operations - Cloud cost visibility and chargeback models
- Cost allocation by team, service, and environment
- Tagging strategies for accountability
- Resource optimisation for wasted spend
- Reserved instances and savings plans planning
- Spot instance risk assessment and mitigation
- Auto-scaling to reduce idle capacity
- FinOps principles and team structures
- Monthly forecasting and budget alerts
- Cost dashboards with Prometheus and Grafana
- Kubernetes cost monitoring with Kubecost
- Serverless cost analysis and optimisation
- Data transfer cost considerations
- Storage tiering and lifecycle policies
- Architecture review for cost efficiency
- Right-sizing virtual machines and containers
- Automated shutdown of non-production environments
- Negotiation levers with cloud providers
- FinOps maturity model assessment
- Reporting for executive stakeholders
Module 12: Enterprise Implementation and Organisational Change - Creating a cloud native roadmap for large enterprises
- Phased migration strategies: strangle, lift-and-shift, refactor
- Business case development for architectural change
- Stakeholder alignment and communication playbooks
- Team restructuring for cloud native: platform teams, SREs
- Skills assessment and upskilling programs
- Change management for DevOps transformation
- Defining success metrics and KPIs
- Pilot project selection and management
- Lessons learned from failed migrations
- Vendor management in cloud native adoption
- Negotiating service level agreements with internal teams
- Scaling best practices across business units
- Feedback loops for continuous improvement
- Creating internal communities of practice
- Knowledge sharing frameworks and documentation standards
- Architecture review boards and governance models
- Technical enablement for non-technical leaders
- Sustaining momentum after initial rollout
- Measuring ROI of cloud native transformation
Module 13: Integration with Legacy and Third-Party Systems - API gateways for legacy system exposure
- Backend for Frontend (BFF) pattern
- Message queue bridging for old and new systems
- Data replication strategies: CDC and ETL
- Database reverse proxy for abstraction
- Facade pattern for simplifying legacy complexity
- Protocol translation: SOAP to REST, gRPC
- Security interoperability: SAML, OAuth, API keys
- Monitoring hybrid system health
- Event correlation across generations
- Transaction consistency in distributed boundaries
- Testing integration points effectively
- Performance overhead of integration layers
- Version management in mixed environments
- Deprecation strategies for legacy systems
- Documentation for hybrid architecture
- Support model for cross-stack issues
- Onboarding new teams into hybrid landscapes
- Cost allocation for shared legacy services
- Risk assessment of prolonged integration
Module 14: Certification Preparation and Career Advancement - Final architectural review and self-assessment
- Capstone project: design a full enterprise solution
- Documentation of design decisions and trade-offs
- Peer review process and feedback integration
- Common certification exam question patterns
- Time management during technical assessments
- Communicating complex architecture clearly
- Updating your resume with cloud native achievements
- LinkedIn optimisation for architecture roles
- Preparing for technical interviews at top firms
- Negotiating salary based on certification value
- Transitioning from developer to architect role
- Building credibility with stakeholders
- Presentation skills for board-level discussions
- Mentoring junior engineers in cloud native practices
- Contributing to open source and community
- Publishing architecture case studies
- Speaking at conferences and internal forums
- Ongoing learning roadmap after certification
- Receiving your Certificate of Completion from The Art of Service
- Observability maturity model assessment
- Instrumentation best practices for cloud native apps
- Distributed tracing with OpenTelemetry
- Metrics collection with Prometheus and exporters
- Log aggregation with Fluentd and Loki
- Structured logging and context propagation
- Defining SLOs, SLIs, and error budgets
- Alerting strategies: noise reduction and actionable alerts
- Dashboard design with Grafana for operations visibility
- Golden signals: latency, traffic, errors, saturation
- Performance profiling in production environments
- Memory leak detection in containerised applications
- CPU contention analysis and optimisation
- Network latency troubleshooting in Kubernetes
- IOPS bottlenecks and storage performance tuning
- Service-level objectives for business-critical workloads
- Automated anomaly detection with machine learning
- Correlation of logs, metrics, and traces
- Cost-aware observability: balancing insight and overhead
- Custom metrics for business KPIs
- Incident response playbooks using observability data
Module 7: Security and Compliance in Cloud Native Systems - Shift-left security in CI/CD pipelines
- Static code analysis and policy as code
- SCM integration for secure configuration
- Container image scanning with Trivy and Clair
- Runtime security with Falco and Sysdig
- Network encryption: mTLS with service mesh
- Secrets management with HashiCorp Vault
- Auditing and compliance reporting automation
- RBAC and least privilege principles in Kubernetes
- Pod security policies and OPA Gatekeeper
- FIPS compliance and cryptographic standards
- GDPR, HIPAA, and SOC 2 alignment strategies
- Immutable infrastructure for audit trails
- Cluster hardening checklists
- Network segmentation and zero-trust implementation
- Automated compliance validation with InSpec
- Incident response for container breaches
- Forensic readiness in ephemeral environments
- Supply chain security with Sigstore and Cosign
- Federated identity and single sign-on integration
Module 8: CI/CD and GitOps for Continuous Delivery - CI/CD pipeline design for microservices
- Blue-green and canary testing automation
- Canary analysis with Flagger and Prometheus
- GitOps principles and Argo CD implementation
- Declarative infrastructure with Helm and Kustomize
- Rollback automation and drift detection
- Environment promotion strategies
- Testing pyramid for cloud native applications
- Contract testing with Pact for service reliability
- End-to-end testing in staging environments
- Dependency management for microservices
- Automated dependency updates with Renovate
- Pipeline-as-code with GitHub Actions and GitLab CI
- Security scanning in build pipelines
- Performance testing as part of CI
- Linting and policy enforcement automation
- Parallel test execution for speed
- Test data management in dynamic environments
- Flaky test detection and resolution
- Delivery velocity metrics and lead time tracking
Module 9: Serverless and Event-Driven Architecture - Function as a Service: benefits and limitations
- AWS Lambda, Azure Functions, Google Cloud Functions compared
- Event sourcing and CQRS patterns
- Message brokers: Kafka, RabbitMQ, NATS
- Event mesh architecture and deployment
- Idempotent event processing design
- Replayability and event versioning
- Dead letter topics for failed events
- Throughput and concurrency tuning
- Event schema registry with Schema Registry and Apicurio
- Serverless databases: DynamoDB, Firestore
- Cold start mitigation techniques
- Provisioned concurrency and warming strategies
- Monitoring serverless functions effectively
- Cost optimisation for event-driven workloads
- Security in serverless environments
- API gateways for function exposure
- Event-driven CI/CD pipelines
- Scaling logic with event backpressure
- Hybrid architectures with containers and functions
Module 10: Multi-Cloud and Hybrid Architecture Strategy - Avoiding cloud provider lock-in
- Portability through containerisation and abstraction
- Infrastructure as Code with Terraform for multi-cloud
- Cross-cloud networking and peering
- Data sovereignty and regional compliance
- Hybrid Kubernetes with Anthos and AKS HCI
- Hybrid service mesh with global control plane
- Federation of clusters across clouds
- Unified monitoring and logging across providers
- Cost optimisation strategies per cloud
- Workload placement decisions based on SLA and cost
- Disaster recovery across cloud providers
- Consistent security policies in hybrid environments
- Identity federation across clouds
- CI/CD with multi-cloud targets
- Performance benchmarking across regions
- Unified governance with policy engines
- Traffic management in multi-cloud ingress
- Latency-aware routing for customer experience
- Vendor evaluation framework for cloud selection
Module 11: Cost Governance and Financial Operations - Cloud cost visibility and chargeback models
- Cost allocation by team, service, and environment
- Tagging strategies for accountability
- Resource optimisation for wasted spend
- Reserved instances and savings plans planning
- Spot instance risk assessment and mitigation
- Auto-scaling to reduce idle capacity
- FinOps principles and team structures
- Monthly forecasting and budget alerts
- Cost dashboards with Prometheus and Grafana
- Kubernetes cost monitoring with Kubecost
- Serverless cost analysis and optimisation
- Data transfer cost considerations
- Storage tiering and lifecycle policies
- Architecture review for cost efficiency
- Right-sizing virtual machines and containers
- Automated shutdown of non-production environments
- Negotiation levers with cloud providers
- FinOps maturity model assessment
- Reporting for executive stakeholders
Module 12: Enterprise Implementation and Organisational Change - Creating a cloud native roadmap for large enterprises
- Phased migration strategies: strangle, lift-and-shift, refactor
- Business case development for architectural change
- Stakeholder alignment and communication playbooks
- Team restructuring for cloud native: platform teams, SREs
- Skills assessment and upskilling programs
- Change management for DevOps transformation
- Defining success metrics and KPIs
- Pilot project selection and management
- Lessons learned from failed migrations
- Vendor management in cloud native adoption
- Negotiating service level agreements with internal teams
- Scaling best practices across business units
- Feedback loops for continuous improvement
- Creating internal communities of practice
- Knowledge sharing frameworks and documentation standards
- Architecture review boards and governance models
- Technical enablement for non-technical leaders
- Sustaining momentum after initial rollout
- Measuring ROI of cloud native transformation
Module 13: Integration with Legacy and Third-Party Systems - API gateways for legacy system exposure
- Backend for Frontend (BFF) pattern
- Message queue bridging for old and new systems
- Data replication strategies: CDC and ETL
- Database reverse proxy for abstraction
- Facade pattern for simplifying legacy complexity
- Protocol translation: SOAP to REST, gRPC
- Security interoperability: SAML, OAuth, API keys
- Monitoring hybrid system health
- Event correlation across generations
- Transaction consistency in distributed boundaries
- Testing integration points effectively
- Performance overhead of integration layers
- Version management in mixed environments
- Deprecation strategies for legacy systems
- Documentation for hybrid architecture
- Support model for cross-stack issues
- Onboarding new teams into hybrid landscapes
- Cost allocation for shared legacy services
- Risk assessment of prolonged integration
Module 14: Certification Preparation and Career Advancement - Final architectural review and self-assessment
- Capstone project: design a full enterprise solution
- Documentation of design decisions and trade-offs
- Peer review process and feedback integration
- Common certification exam question patterns
- Time management during technical assessments
- Communicating complex architecture clearly
- Updating your resume with cloud native achievements
- LinkedIn optimisation for architecture roles
- Preparing for technical interviews at top firms
- Negotiating salary based on certification value
- Transitioning from developer to architect role
- Building credibility with stakeholders
- Presentation skills for board-level discussions
- Mentoring junior engineers in cloud native practices
- Contributing to open source and community
- Publishing architecture case studies
- Speaking at conferences and internal forums
- Ongoing learning roadmap after certification
- Receiving your Certificate of Completion from The Art of Service
- CI/CD pipeline design for microservices
- Blue-green and canary testing automation
- Canary analysis with Flagger and Prometheus
- GitOps principles and Argo CD implementation
- Declarative infrastructure with Helm and Kustomize
- Rollback automation and drift detection
- Environment promotion strategies
- Testing pyramid for cloud native applications
- Contract testing with Pact for service reliability
- End-to-end testing in staging environments
- Dependency management for microservices
- Automated dependency updates with Renovate
- Pipeline-as-code with GitHub Actions and GitLab CI
- Security scanning in build pipelines
- Performance testing as part of CI
- Linting and policy enforcement automation
- Parallel test execution for speed
- Test data management in dynamic environments
- Flaky test detection and resolution
- Delivery velocity metrics and lead time tracking
Module 9: Serverless and Event-Driven Architecture - Function as a Service: benefits and limitations
- AWS Lambda, Azure Functions, Google Cloud Functions compared
- Event sourcing and CQRS patterns
- Message brokers: Kafka, RabbitMQ, NATS
- Event mesh architecture and deployment
- Idempotent event processing design
- Replayability and event versioning
- Dead letter topics for failed events
- Throughput and concurrency tuning
- Event schema registry with Schema Registry and Apicurio
- Serverless databases: DynamoDB, Firestore
- Cold start mitigation techniques
- Provisioned concurrency and warming strategies
- Monitoring serverless functions effectively
- Cost optimisation for event-driven workloads
- Security in serverless environments
- API gateways for function exposure
- Event-driven CI/CD pipelines
- Scaling logic with event backpressure
- Hybrid architectures with containers and functions
Module 10: Multi-Cloud and Hybrid Architecture Strategy - Avoiding cloud provider lock-in
- Portability through containerisation and abstraction
- Infrastructure as Code with Terraform for multi-cloud
- Cross-cloud networking and peering
- Data sovereignty and regional compliance
- Hybrid Kubernetes with Anthos and AKS HCI
- Hybrid service mesh with global control plane
- Federation of clusters across clouds
- Unified monitoring and logging across providers
- Cost optimisation strategies per cloud
- Workload placement decisions based on SLA and cost
- Disaster recovery across cloud providers
- Consistent security policies in hybrid environments
- Identity federation across clouds
- CI/CD with multi-cloud targets
- Performance benchmarking across regions
- Unified governance with policy engines
- Traffic management in multi-cloud ingress
- Latency-aware routing for customer experience
- Vendor evaluation framework for cloud selection
Module 11: Cost Governance and Financial Operations - Cloud cost visibility and chargeback models
- Cost allocation by team, service, and environment
- Tagging strategies for accountability
- Resource optimisation for wasted spend
- Reserved instances and savings plans planning
- Spot instance risk assessment and mitigation
- Auto-scaling to reduce idle capacity
- FinOps principles and team structures
- Monthly forecasting and budget alerts
- Cost dashboards with Prometheus and Grafana
- Kubernetes cost monitoring with Kubecost
- Serverless cost analysis and optimisation
- Data transfer cost considerations
- Storage tiering and lifecycle policies
- Architecture review for cost efficiency
- Right-sizing virtual machines and containers
- Automated shutdown of non-production environments
- Negotiation levers with cloud providers
- FinOps maturity model assessment
- Reporting for executive stakeholders
Module 12: Enterprise Implementation and Organisational Change - Creating a cloud native roadmap for large enterprises
- Phased migration strategies: strangle, lift-and-shift, refactor
- Business case development for architectural change
- Stakeholder alignment and communication playbooks
- Team restructuring for cloud native: platform teams, SREs
- Skills assessment and upskilling programs
- Change management for DevOps transformation
- Defining success metrics and KPIs
- Pilot project selection and management
- Lessons learned from failed migrations
- Vendor management in cloud native adoption
- Negotiating service level agreements with internal teams
- Scaling best practices across business units
- Feedback loops for continuous improvement
- Creating internal communities of practice
- Knowledge sharing frameworks and documentation standards
- Architecture review boards and governance models
- Technical enablement for non-technical leaders
- Sustaining momentum after initial rollout
- Measuring ROI of cloud native transformation
Module 13: Integration with Legacy and Third-Party Systems - API gateways for legacy system exposure
- Backend for Frontend (BFF) pattern
- Message queue bridging for old and new systems
- Data replication strategies: CDC and ETL
- Database reverse proxy for abstraction
- Facade pattern for simplifying legacy complexity
- Protocol translation: SOAP to REST, gRPC
- Security interoperability: SAML, OAuth, API keys
- Monitoring hybrid system health
- Event correlation across generations
- Transaction consistency in distributed boundaries
- Testing integration points effectively
- Performance overhead of integration layers
- Version management in mixed environments
- Deprecation strategies for legacy systems
- Documentation for hybrid architecture
- Support model for cross-stack issues
- Onboarding new teams into hybrid landscapes
- Cost allocation for shared legacy services
- Risk assessment of prolonged integration
Module 14: Certification Preparation and Career Advancement - Final architectural review and self-assessment
- Capstone project: design a full enterprise solution
- Documentation of design decisions and trade-offs
- Peer review process and feedback integration
- Common certification exam question patterns
- Time management during technical assessments
- Communicating complex architecture clearly
- Updating your resume with cloud native achievements
- LinkedIn optimisation for architecture roles
- Preparing for technical interviews at top firms
- Negotiating salary based on certification value
- Transitioning from developer to architect role
- Building credibility with stakeholders
- Presentation skills for board-level discussions
- Mentoring junior engineers in cloud native practices
- Contributing to open source and community
- Publishing architecture case studies
- Speaking at conferences and internal forums
- Ongoing learning roadmap after certification
- Receiving your Certificate of Completion from The Art of Service
- Avoiding cloud provider lock-in
- Portability through containerisation and abstraction
- Infrastructure as Code with Terraform for multi-cloud
- Cross-cloud networking and peering
- Data sovereignty and regional compliance
- Hybrid Kubernetes with Anthos and AKS HCI
- Hybrid service mesh with global control plane
- Federation of clusters across clouds
- Unified monitoring and logging across providers
- Cost optimisation strategies per cloud
- Workload placement decisions based on SLA and cost
- Disaster recovery across cloud providers
- Consistent security policies in hybrid environments
- Identity federation across clouds
- CI/CD with multi-cloud targets
- Performance benchmarking across regions
- Unified governance with policy engines
- Traffic management in multi-cloud ingress
- Latency-aware routing for customer experience
- Vendor evaluation framework for cloud selection
Module 11: Cost Governance and Financial Operations - Cloud cost visibility and chargeback models
- Cost allocation by team, service, and environment
- Tagging strategies for accountability
- Resource optimisation for wasted spend
- Reserved instances and savings plans planning
- Spot instance risk assessment and mitigation
- Auto-scaling to reduce idle capacity
- FinOps principles and team structures
- Monthly forecasting and budget alerts
- Cost dashboards with Prometheus and Grafana
- Kubernetes cost monitoring with Kubecost
- Serverless cost analysis and optimisation
- Data transfer cost considerations
- Storage tiering and lifecycle policies
- Architecture review for cost efficiency
- Right-sizing virtual machines and containers
- Automated shutdown of non-production environments
- Negotiation levers with cloud providers
- FinOps maturity model assessment
- Reporting for executive stakeholders
Module 12: Enterprise Implementation and Organisational Change - Creating a cloud native roadmap for large enterprises
- Phased migration strategies: strangle, lift-and-shift, refactor
- Business case development for architectural change
- Stakeholder alignment and communication playbooks
- Team restructuring for cloud native: platform teams, SREs
- Skills assessment and upskilling programs
- Change management for DevOps transformation
- Defining success metrics and KPIs
- Pilot project selection and management
- Lessons learned from failed migrations
- Vendor management in cloud native adoption
- Negotiating service level agreements with internal teams
- Scaling best practices across business units
- Feedback loops for continuous improvement
- Creating internal communities of practice
- Knowledge sharing frameworks and documentation standards
- Architecture review boards and governance models
- Technical enablement for non-technical leaders
- Sustaining momentum after initial rollout
- Measuring ROI of cloud native transformation
Module 13: Integration with Legacy and Third-Party Systems - API gateways for legacy system exposure
- Backend for Frontend (BFF) pattern
- Message queue bridging for old and new systems
- Data replication strategies: CDC and ETL
- Database reverse proxy for abstraction
- Facade pattern for simplifying legacy complexity
- Protocol translation: SOAP to REST, gRPC
- Security interoperability: SAML, OAuth, API keys
- Monitoring hybrid system health
- Event correlation across generations
- Transaction consistency in distributed boundaries
- Testing integration points effectively
- Performance overhead of integration layers
- Version management in mixed environments
- Deprecation strategies for legacy systems
- Documentation for hybrid architecture
- Support model for cross-stack issues
- Onboarding new teams into hybrid landscapes
- Cost allocation for shared legacy services
- Risk assessment of prolonged integration
Module 14: Certification Preparation and Career Advancement - Final architectural review and self-assessment
- Capstone project: design a full enterprise solution
- Documentation of design decisions and trade-offs
- Peer review process and feedback integration
- Common certification exam question patterns
- Time management during technical assessments
- Communicating complex architecture clearly
- Updating your resume with cloud native achievements
- LinkedIn optimisation for architecture roles
- Preparing for technical interviews at top firms
- Negotiating salary based on certification value
- Transitioning from developer to architect role
- Building credibility with stakeholders
- Presentation skills for board-level discussions
- Mentoring junior engineers in cloud native practices
- Contributing to open source and community
- Publishing architecture case studies
- Speaking at conferences and internal forums
- Ongoing learning roadmap after certification
- Receiving your Certificate of Completion from The Art of Service
- Creating a cloud native roadmap for large enterprises
- Phased migration strategies: strangle, lift-and-shift, refactor
- Business case development for architectural change
- Stakeholder alignment and communication playbooks
- Team restructuring for cloud native: platform teams, SREs
- Skills assessment and upskilling programs
- Change management for DevOps transformation
- Defining success metrics and KPIs
- Pilot project selection and management
- Lessons learned from failed migrations
- Vendor management in cloud native adoption
- Negotiating service level agreements with internal teams
- Scaling best practices across business units
- Feedback loops for continuous improvement
- Creating internal communities of practice
- Knowledge sharing frameworks and documentation standards
- Architecture review boards and governance models
- Technical enablement for non-technical leaders
- Sustaining momentum after initial rollout
- Measuring ROI of cloud native transformation
Module 13: Integration with Legacy and Third-Party Systems - API gateways for legacy system exposure
- Backend for Frontend (BFF) pattern
- Message queue bridging for old and new systems
- Data replication strategies: CDC and ETL
- Database reverse proxy for abstraction
- Facade pattern for simplifying legacy complexity
- Protocol translation: SOAP to REST, gRPC
- Security interoperability: SAML, OAuth, API keys
- Monitoring hybrid system health
- Event correlation across generations
- Transaction consistency in distributed boundaries
- Testing integration points effectively
- Performance overhead of integration layers
- Version management in mixed environments
- Deprecation strategies for legacy systems
- Documentation for hybrid architecture
- Support model for cross-stack issues
- Onboarding new teams into hybrid landscapes
- Cost allocation for shared legacy services
- Risk assessment of prolonged integration
Module 14: Certification Preparation and Career Advancement - Final architectural review and self-assessment
- Capstone project: design a full enterprise solution
- Documentation of design decisions and trade-offs
- Peer review process and feedback integration
- Common certification exam question patterns
- Time management during technical assessments
- Communicating complex architecture clearly
- Updating your resume with cloud native achievements
- LinkedIn optimisation for architecture roles
- Preparing for technical interviews at top firms
- Negotiating salary based on certification value
- Transitioning from developer to architect role
- Building credibility with stakeholders
- Presentation skills for board-level discussions
- Mentoring junior engineers in cloud native practices
- Contributing to open source and community
- Publishing architecture case studies
- Speaking at conferences and internal forums
- Ongoing learning roadmap after certification
- Receiving your Certificate of Completion from The Art of Service
- Final architectural review and self-assessment
- Capstone project: design a full enterprise solution
- Documentation of design decisions and trade-offs
- Peer review process and feedback integration
- Common certification exam question patterns
- Time management during technical assessments
- Communicating complex architecture clearly
- Updating your resume with cloud native achievements
- LinkedIn optimisation for architecture roles
- Preparing for technical interviews at top firms
- Negotiating salary based on certification value
- Transitioning from developer to architect role
- Building credibility with stakeholders
- Presentation skills for board-level discussions
- Mentoring junior engineers in cloud native practices
- Contributing to open source and community
- Publishing architecture case studies
- Speaking at conferences and internal forums
- Ongoing learning roadmap after certification
- Receiving your Certificate of Completion from The Art of Service