Mastering Cloud Native Operations for Enterprise Resilience and Scalability
Course Format & Delivery Details Learn at Your Own Pace, On-Demand, with Complete Freedom
This course is designed for professionals who demand flexibility without sacrificing depth, quality, or real-world applicability. You gain immediate online access to a fully self-paced learning path, structured to deliver clear, measurable progress from day one. There are no fixed dates, no rigid schedules, and no time commitments. You decide when and where you learn, seamlessly integrating this training into your professional life. Fast Results, Lifetime Access, Continuous Updates
Most learners report tangible improvements in their cloud operations strategy and implementation within the first few weeks. The typical completion time ranges from 6 to 10 weeks for full engagement with all materials, depending on your pace and involvement in hands-on exercises. Upon finishing, you’re not just informed - you’re certified, equipped, and ready to lead enterprise-grade cloud transformations. You receive lifetime access to all course content, including your Certificate of Completion issued by The Art of Service. This certification carries global recognition and is designed to validate your mastery of cloud native operations at the highest enterprise level. Additionally, all future updates and content enhancements are included at no extra cost, ensuring your knowledge remains current as cloud practices evolve. Accessible Anytime, Anywhere, on Any Device
The course is fully mobile-friendly and accessible 24/7 from any device, anywhere in the world. Whether you're reviewing a module on your tablet during transit or refining your understanding of observability frameworks on your smartphone at night, your learning journey meets you on your terms. Direct Access to Expert Guidance and Support
Throughout your journey, you’ll have access to structured instructor insights and curated guidance. While the course is self-directed, you are never learning in isolation. Expertly designed explanations, contextual annotations, and targeted support resources ensure you overcome obstacles efficiently and build confidence with every module. Trust in Your Certification: The Art of Service Credential
The Certificate of Completion issued by The Art of Service is built on decades of enterprise transformation experience, trusted by professionals in over 150 countries. It is not a participation badge. It is a validated credential confirming your ability to architect, manage, and optimise cloud native operations for resilience, scalability, and security at scale. Hiring managers and tech leaders recognise this standard for its precision, realism, and technical rigour. Transparent, Upfront Pricing - Zero Hidden Fees
Pricing is straightforward and all-inclusive. There are no recurring charges, add-on costs, or surprise fees. What you see is exactly what you get - full access to a cutting-edge curriculum, certification, updates, and support, all for a single, fair investment. Payment Options You Can Trust
We accept all major payment methods, including Visa, Mastercard, and PayPal. Your transaction is secured with industry-standard encryption, and your data is protected with strict privacy protocols. Zero-Risk Enrollment: Satisfied or Refunded Guarantee
We stand behind the value of this course with a strong satisfaction guarantee. If, after engaging with the material, you find it does not meet your expectations for depth, clarity, or professional ROI, you are eligible for a full refund. This promise eliminates risk and puts your confidence first. What to Expect After Enrollment
Once you enroll, you’ll receive a confirmation email acknowledging your registration. Your course access details will be sent separately once your materials are fully prepared, ensuring a seamless, high-integrity onboarding experience. “Will This Work for Me?” - We’ve Got You Covered
You might be thinking: “I’ve tried other courses before and didn’t see results.” Or perhaps you’re unsure if your current skill level or job role is a good fit. Let’s address that directly. This program works even if you’re transitioning from traditional IT operations, managing hybrid cloud environments, or working within strict compliance frameworks. It’s been used successfully by DevOps engineers, cloud architects, platform leads, SRE managers, and enterprise transformation officers across regulated sectors like finance, healthcare, and government. One lead platform engineer at a global financial institution used this curriculum to redesign their incident response protocols, reducing mean time to recovery by 68%. A senior cloud architect at a multinational retailer applied the chaos engineering frameworks to strengthen system resilience ahead of peak season, preventing an estimated $4.2 million in potential downtime losses. The content is role-specific, context-aware, and built on proven methodologies. Whether you operate at the tactical level or lead strategy, the frameworks you learn here scale with your responsibility. Our learners come from diverse technical backgrounds, and the course is designed to meet you where you are. Clear explanations, progressive complexity, and real implementation blueprints ensure you build expertise - not confusion. Your Success Is Built In - Not Left to Chance
Every element of this course is engineered to maximise your confidence, clarity, and career impact. With lifetime access, certified outcomes, expert support, and a risk-free entry, you are positioned for success before you even begin. This is not a gamble. It’s a strategic investment in your professional future - and one you can make with complete peace of mind.
Extensive and Detailed Course Curriculum
Module 1: Foundations of Cloud Native Architecture - Defining cloud native: principles, benefits, and enterprise imperatives
- Contrasting monolithic, microservices, and cloud native architectures
- Understanding the shift from infrastructure provisioning to platform thinking
- The role of containers in decoupling applications from infrastructure
- Introduction to the 12-factor app methodology for cloud readiness
- Immutable infrastructure: concepts, advantages, and deployment models
- Service orientation and bounded contexts in distributed systems
- Domain-Driven Design patterns for scalable service boundaries
- Event-driven communication vs request-response models
- Stateless vs stateful services in cloud environments
- Designing for disposability and rapid scaling
- The importance of automation in cloud native operations
- Principles of continuous delivery and deployment in cloud contexts
- Declarative vs imperative configuration management
- Introduction to infrastructure as code (IaC) and its impact on reliability
- The convergence of development and operations: DevOps cultural foundations
- Measuring cloud native maturity: assessment frameworks and benchmarks
- Security-by-design: embedding security from the start
- Network segmentation and zero trust in cloud native networks
- Cloud native economics: cost drivers and optimisation levers
Module 2: Core Technologies and Orchestration Platforms - Kubernetes architecture: control plane, worker nodes, and API server
- Pods, deployments, services, and replica sets in Kubernetes
- Understanding namespaces and resource quotas for multi-tenancy
- Networking in Kubernetes: CNI plugins and service discovery
- Ingress controllers and load balancing strategies
- Storage classes, persistent volumes, and dynamic provisioning
- ConfigMaps and Secrets: managing configuration securely
- Role-Based Access Control (RBAC) in Kubernetes clusters
- Cluster lifecycle management and upgrade strategies
- Multi-cluster patterns: federation, service mesh integration, and failover
- Managed Kubernetes services: EKS, GKE, AKS compared
- OpenShift architecture and Red Hat enterprise integration
- HashiCorp Nomad: lightweight orchestration for hybrid workloads
- Container runtimes: containerd, CRI-O, and security implications
- Kubernetes APIs and the extension mechanisms (CRDs, Operators)
- Understanding Helm charts and packaging strategies
- GitOps principles and tools: ArgoCD, Flux, and reconciliation loops
- Custom Resource Definitions (CRDs) and operator patterns
- Service accounts, tokens, and workload identity
- Health checks: liveness, readiness, and startup probes
Module 3: Resilience Engineering and Fault Tolerance - Defining resilience in distributed cloud systems
- Failure modes in microservices: cascading failures, retries, and timeouts
- Circuit breakers and bulkheads: patterns from the Netflix OSS stack
- Designing for graceful degradation and partial functionality
- Health probing and self-healing mechanisms in orchestration systems
- Pod disruption budgets and voluntary eviction controls
- Pod anti-affinity and topology spread constraints for high availability
- Multi-AZ and multi-region deployment strategies
- Disaster recovery planning for cloud native environments
- Backup and restore of etcd and application data
- Chaos engineering: principles, tooling, and ethical considerations
- Implementing controlled failure experiments using LitmusChaos
- Latency injection, network partitioning, and resource starvation tests
- Automated resilience validation through CI/CD pipelines
- Service level objectives (SLOs) and error budget management
- Measuring reliability through availability, durability, and recovery KPIs
- Designing anti-fragile systems that improve under stress
- Automated rollback mechanisms and canary validation triggers
- Incident readiness: runbooks, alert silencing, and response workflows
- Postmortem analysis and blameless culture in SRE
Module 4: Scalability Patterns and Performance Optimisation - Horizontal vs vertical vs diagonal scaling strategies
- Understanding request rate, latency, and concurrency dynamics
- Pod autoscaling: Horizontal Pod Autoscaler (HPA) and metrics pipeline
- Custom metrics and external metrics integration with Prometheus
- Vertical Pod Autoscaler (VPA): use cases and limitations
- Cluster Autoscaler and node pool management
- Autoscaling in serverless and Knative environments
- Capacity planning and resource forecasting models
- Request and limit tuning for CPU and memory efficiency
- Quality of Service classes and pod scheduling implications
- Pod priority and preemption for critical workloads
- Efficient container image optimisation and layer reuse
- Multi-architecture image support (arm64, amd64)
- Resource quotas and limit ranges per namespace
- Monitoring resource utilisation and identifying waste
- Right-sizing workloads through performance benchmarking
- Load testing cloud native applications with k6 and Locust
- Rate limiting and throttling at the API gateway level
- Database connection pooling and concurrency bottlenecks
- CDN and edge caching for frontend scalability
Module 5: Observability and Monitoring in Production - The three pillars of observability: logs, metrics, and traces
- Structured logging with JSON and correlation IDs
- Centralised log aggregation using Fluentd, Loki, and EFK stack
- Log retention policies and compliance considerations
- Metrics collection with Prometheus and OpenMetrics
- Service dashboards using Grafana and Kiali
- Recording rules and alerting rules in Prometheus
- Distributed tracing with Jaeger and OpenTelemetry
- Context propagation across microservices
- Service maps and dependency visualisation
- Custom instrumentation for business-critical flows
- Metrics-based alerting with Alertmanager
- Silencing, grouping, and routing alert notifications
- Incident triage workflows and severity classification
- Setting up meaningful Service Level Indicators (SLIs)
- Defining achievable Service Level Objectives (SLOs)
- Error budget burn rate calculations and alerts
- Golden signals: latency, traffic, errors, and saturation
- Health endpoint monitoring and synthetic transactions
- Event correlation and root cause analysis
Module 6: Security and Compliance at Scale - Shared responsibility model in cloud native environments
- Zero Trust architecture and continuous verification
- Network policies and micro-segmentation in Kubernetes
- Pod security policies and Pod Security Admission (PSA)
- Image scanning and vulnerability management with Trivy and Clair
- Immutable tags and content trust in container registries
- Software Bill of Materials (SBOM) generation and analysis
- Supply chain security with Sigstore and Cosign
- Policy enforcement with OPA and Kyverno
- Admission controllers and webhook validation
- Runtime security monitoring with Falco
- File integrity monitoring and process profiling
- Hardening worker nodes and control plane components
- Secrets management with HashiCorp Vault and external secret operators
- Dynamic secrets, leasing, and rotation strategies
- Least privilege access and just-in-time provisioning
- Audit logging in Kubernetes API server and event retention
- Compliance frameworks: NIST, CIS, SOC 2, GDPR, HIPAA mapping
- Policy as code: automating compliance validation
- Automated compliance reporting and executive dashboards
Module 7: CI/CD Pipelines for Cloud Native Deployment - Advanced CI/CD design patterns for microservices
- Monorepo vs polyrepo trade-offs in CI/CD context
- Trunk-based development and feature flags
- Pipeline as code using Tekton and Jenkins X
- Build caching and reproducibility with Kaniko
- Container image signing and provenance
- Canary deployments with Flagger and service mesh integration
- Blue-green rollout strategies and traffic shifting
- A/B testing and progressive delivery in production
- Multistage pipeline design: build, test, scan, promote
- Automated rollback triggers based on SLO violations
- Integration testing in ephemeral environments
- Artifact management with Harbor and Artifactory
- Dependency management and semantic versioning
- Automated dependency updates with Renovate
- Approval gates and compliance checks in pipelines
- Pipeline security: preventing secrets leakage and CI injection
- Parallel execution and pipeline optimisation
- Environment templating with Kustomize and Helm
- Immutable environments and drift detection
Module 8: Service Mesh and Advanced Connectivity - Introduction to service mesh: data plane vs control plane
- Istio architecture: Envoy proxies, Pilot, Citadel, Galley
- Linkerd lightweight mesh for performance-sensitive clusters
- Sidecar proxy injection and transparent traffic interception
- mTLS encryption and automatic certificate rotation
- Traffic shifting and routing rules in Istio
- Virtual services and destination rules configuration
- Fault injection and performance degradation testing
- Circuit breaking and request timeout enforcement
- Request mirroring for A/B testing and risk mitigation
- Policy enforcement via authorization policies
- Request headers, JWT tokens, and identity propagation
- Multi-mesh topologies and mesh gateways
- Service mesh observability: telemetry, tracing, and metrics
- Access logging and audit trails for compliance
- Rate limiting and quota enforcement at mesh level
- Integration with external identity providers (OAuth, LDAP)
- Canary rollouts with progressive traffic migration
- Multi-cluster service mesh federation
- Service mesh cost, complexity, and operational overhead
Module 9: Platform Engineering and Internal Developer Platforms - Shift-left principles and developer self-service
- Defining platform as a product (PaaP) mindset
- Developer experience (DevEx) metrics and feedback loops
- Backstage: open source platform for developer portals
- Catalog-driven operations with software templates
- Standardising environments with opinionated blueprints
- Cross-platform observability and standardised dashboards
- Onboarding workflows for new services and teams
- API gateway management and developer documentation
- Authentication and access control for internal services
- Internal rate limiting and cost allocation tracking
- Golden path journeys for common development tasks
- Operational handoff and ownership models
- Automated security scanning and policy enforcement
- Self-service provisioning of staging and test environments
- Feedback channels between platform and product teams
- Measuring platform adoption and developer satisfaction
- Platform team staffing, structure, and career paths
- Scaling platform teams across regions and functions
- Continuous platform improvement using metrics and retrospectives
Module 10: FinOps and Cost Management in Cloud Native - Introduction to FinOps: culture, practices, and responsibilities
- Cost allocation by team, project, and service
- Chargeback and showback models for transparency
- Resource tagging standards and enforcement
- Monitoring cloud spend with Kubecost and OpenCost
- Cost-per-request and cost-per-user analysis
- Spot instances and preemptible nodes for cost savings
- Right-sizing recommendations based on utilisation
- Scaling to zero: cost impact of idle workloads
- Budgeting and forecasting tools integration
- Anomaly detection and alerting on cost spikes
- Reserved instances and savings plans for predictable workloads
- Serverless cost models: pay-per-execution vs always-on
- Database cost optimisation strategies
- Storage tiering and lifecycle policies
- Network egress cost reduction techniques
- Cross-cloud cost comparison frameworks
- Cost-aware scheduling and placement policies
- Executive reporting and FinOps dashboards
- Collaboration between engineering, finance, and procurement
Module 11: Multi-Cloud and Hybrid Cloud Operations - Defining multi-cloud vs hybrid cloud strategies
- Avoiding vendor lock-in with portable architectures
- Workload portability using Kubernetes CRDs and Operators
- Cluster API for declarative cluster lifecycle management
- Managing clusters across AWS, Azure, GCP, and on-prem
- Federation with KubeFed and multi-cluster service discovery
- Data residency and sovereignty compliance
- Disaster recovery across cloud providers
- Unified identity and access management across clouds
- Cross-cloud monitoring with Thanos and Cortex
- Centralised logging across heterogeneous environments
- Traffic routing and failover between regions and clouds
- Latency-aware service routing and GSLB
- Cloud bursting strategies during peak demand
- Edge computing and cloud-native application distribution
- Operating in air-gapped and offline environments
- On-prem upgrades and patching cadence
- Regulatory compliance in distributed deployments
- Unified policy engine for multi-cloud governance
- Cost optimisation across cloud boundaries
Module 12: Advanced Certification and Real-World Implementation - Final assessment and mastery verification
- Hands-on implementation lab: deploy a resilient cloud native platform
- Design and execute a chaos experiment with real impact metrics
- Configure full observability stack across logs, metrics, and traces
- Implement GitOps workflow with continuous reconciliation
- Secure the platform with mTLS, policy engines, and secrets management
- Integrate CI/CD pipeline with SLO-based promotion gates
- Optimise resource scaling and conduct cost analysis
- Document architectural decisions and operational runbooks
- Peer review and expert feedback on implementation
- Develop a 90-day transformation roadmap for your organisation
- Identify key stakeholders and change management strategies
- Measure success: KPIs, reporting cadence, and improvement cycles
- Transition from project to product thinking in operations
- Scaling best practices across teams and business units
- Knowledge transfer and internal enablement plans
- Build a feedback loop for continuous operational learning
- Final synthesis: integrating all modules into a cohesive practice
- Earn your Certificate of Completion issued by The Art of Service
- Next steps: advanced certifications, community, and continued learning
Module 1: Foundations of Cloud Native Architecture - Defining cloud native: principles, benefits, and enterprise imperatives
- Contrasting monolithic, microservices, and cloud native architectures
- Understanding the shift from infrastructure provisioning to platform thinking
- The role of containers in decoupling applications from infrastructure
- Introduction to the 12-factor app methodology for cloud readiness
- Immutable infrastructure: concepts, advantages, and deployment models
- Service orientation and bounded contexts in distributed systems
- Domain-Driven Design patterns for scalable service boundaries
- Event-driven communication vs request-response models
- Stateless vs stateful services in cloud environments
- Designing for disposability and rapid scaling
- The importance of automation in cloud native operations
- Principles of continuous delivery and deployment in cloud contexts
- Declarative vs imperative configuration management
- Introduction to infrastructure as code (IaC) and its impact on reliability
- The convergence of development and operations: DevOps cultural foundations
- Measuring cloud native maturity: assessment frameworks and benchmarks
- Security-by-design: embedding security from the start
- Network segmentation and zero trust in cloud native networks
- Cloud native economics: cost drivers and optimisation levers
Module 2: Core Technologies and Orchestration Platforms - Kubernetes architecture: control plane, worker nodes, and API server
- Pods, deployments, services, and replica sets in Kubernetes
- Understanding namespaces and resource quotas for multi-tenancy
- Networking in Kubernetes: CNI plugins and service discovery
- Ingress controllers and load balancing strategies
- Storage classes, persistent volumes, and dynamic provisioning
- ConfigMaps and Secrets: managing configuration securely
- Role-Based Access Control (RBAC) in Kubernetes clusters
- Cluster lifecycle management and upgrade strategies
- Multi-cluster patterns: federation, service mesh integration, and failover
- Managed Kubernetes services: EKS, GKE, AKS compared
- OpenShift architecture and Red Hat enterprise integration
- HashiCorp Nomad: lightweight orchestration for hybrid workloads
- Container runtimes: containerd, CRI-O, and security implications
- Kubernetes APIs and the extension mechanisms (CRDs, Operators)
- Understanding Helm charts and packaging strategies
- GitOps principles and tools: ArgoCD, Flux, and reconciliation loops
- Custom Resource Definitions (CRDs) and operator patterns
- Service accounts, tokens, and workload identity
- Health checks: liveness, readiness, and startup probes
Module 3: Resilience Engineering and Fault Tolerance - Defining resilience in distributed cloud systems
- Failure modes in microservices: cascading failures, retries, and timeouts
- Circuit breakers and bulkheads: patterns from the Netflix OSS stack
- Designing for graceful degradation and partial functionality
- Health probing and self-healing mechanisms in orchestration systems
- Pod disruption budgets and voluntary eviction controls
- Pod anti-affinity and topology spread constraints for high availability
- Multi-AZ and multi-region deployment strategies
- Disaster recovery planning for cloud native environments
- Backup and restore of etcd and application data
- Chaos engineering: principles, tooling, and ethical considerations
- Implementing controlled failure experiments using LitmusChaos
- Latency injection, network partitioning, and resource starvation tests
- Automated resilience validation through CI/CD pipelines
- Service level objectives (SLOs) and error budget management
- Measuring reliability through availability, durability, and recovery KPIs
- Designing anti-fragile systems that improve under stress
- Automated rollback mechanisms and canary validation triggers
- Incident readiness: runbooks, alert silencing, and response workflows
- Postmortem analysis and blameless culture in SRE
Module 4: Scalability Patterns and Performance Optimisation - Horizontal vs vertical vs diagonal scaling strategies
- Understanding request rate, latency, and concurrency dynamics
- Pod autoscaling: Horizontal Pod Autoscaler (HPA) and metrics pipeline
- Custom metrics and external metrics integration with Prometheus
- Vertical Pod Autoscaler (VPA): use cases and limitations
- Cluster Autoscaler and node pool management
- Autoscaling in serverless and Knative environments
- Capacity planning and resource forecasting models
- Request and limit tuning for CPU and memory efficiency
- Quality of Service classes and pod scheduling implications
- Pod priority and preemption for critical workloads
- Efficient container image optimisation and layer reuse
- Multi-architecture image support (arm64, amd64)
- Resource quotas and limit ranges per namespace
- Monitoring resource utilisation and identifying waste
- Right-sizing workloads through performance benchmarking
- Load testing cloud native applications with k6 and Locust
- Rate limiting and throttling at the API gateway level
- Database connection pooling and concurrency bottlenecks
- CDN and edge caching for frontend scalability
Module 5: Observability and Monitoring in Production - The three pillars of observability: logs, metrics, and traces
- Structured logging with JSON and correlation IDs
- Centralised log aggregation using Fluentd, Loki, and EFK stack
- Log retention policies and compliance considerations
- Metrics collection with Prometheus and OpenMetrics
- Service dashboards using Grafana and Kiali
- Recording rules and alerting rules in Prometheus
- Distributed tracing with Jaeger and OpenTelemetry
- Context propagation across microservices
- Service maps and dependency visualisation
- Custom instrumentation for business-critical flows
- Metrics-based alerting with Alertmanager
- Silencing, grouping, and routing alert notifications
- Incident triage workflows and severity classification
- Setting up meaningful Service Level Indicators (SLIs)
- Defining achievable Service Level Objectives (SLOs)
- Error budget burn rate calculations and alerts
- Golden signals: latency, traffic, errors, and saturation
- Health endpoint monitoring and synthetic transactions
- Event correlation and root cause analysis
Module 6: Security and Compliance at Scale - Shared responsibility model in cloud native environments
- Zero Trust architecture and continuous verification
- Network policies and micro-segmentation in Kubernetes
- Pod security policies and Pod Security Admission (PSA)
- Image scanning and vulnerability management with Trivy and Clair
- Immutable tags and content trust in container registries
- Software Bill of Materials (SBOM) generation and analysis
- Supply chain security with Sigstore and Cosign
- Policy enforcement with OPA and Kyverno
- Admission controllers and webhook validation
- Runtime security monitoring with Falco
- File integrity monitoring and process profiling
- Hardening worker nodes and control plane components
- Secrets management with HashiCorp Vault and external secret operators
- Dynamic secrets, leasing, and rotation strategies
- Least privilege access and just-in-time provisioning
- Audit logging in Kubernetes API server and event retention
- Compliance frameworks: NIST, CIS, SOC 2, GDPR, HIPAA mapping
- Policy as code: automating compliance validation
- Automated compliance reporting and executive dashboards
Module 7: CI/CD Pipelines for Cloud Native Deployment - Advanced CI/CD design patterns for microservices
- Monorepo vs polyrepo trade-offs in CI/CD context
- Trunk-based development and feature flags
- Pipeline as code using Tekton and Jenkins X
- Build caching and reproducibility with Kaniko
- Container image signing and provenance
- Canary deployments with Flagger and service mesh integration
- Blue-green rollout strategies and traffic shifting
- A/B testing and progressive delivery in production
- Multistage pipeline design: build, test, scan, promote
- Automated rollback triggers based on SLO violations
- Integration testing in ephemeral environments
- Artifact management with Harbor and Artifactory
- Dependency management and semantic versioning
- Automated dependency updates with Renovate
- Approval gates and compliance checks in pipelines
- Pipeline security: preventing secrets leakage and CI injection
- Parallel execution and pipeline optimisation
- Environment templating with Kustomize and Helm
- Immutable environments and drift detection
Module 8: Service Mesh and Advanced Connectivity - Introduction to service mesh: data plane vs control plane
- Istio architecture: Envoy proxies, Pilot, Citadel, Galley
- Linkerd lightweight mesh for performance-sensitive clusters
- Sidecar proxy injection and transparent traffic interception
- mTLS encryption and automatic certificate rotation
- Traffic shifting and routing rules in Istio
- Virtual services and destination rules configuration
- Fault injection and performance degradation testing
- Circuit breaking and request timeout enforcement
- Request mirroring for A/B testing and risk mitigation
- Policy enforcement via authorization policies
- Request headers, JWT tokens, and identity propagation
- Multi-mesh topologies and mesh gateways
- Service mesh observability: telemetry, tracing, and metrics
- Access logging and audit trails for compliance
- Rate limiting and quota enforcement at mesh level
- Integration with external identity providers (OAuth, LDAP)
- Canary rollouts with progressive traffic migration
- Multi-cluster service mesh federation
- Service mesh cost, complexity, and operational overhead
Module 9: Platform Engineering and Internal Developer Platforms - Shift-left principles and developer self-service
- Defining platform as a product (PaaP) mindset
- Developer experience (DevEx) metrics and feedback loops
- Backstage: open source platform for developer portals
- Catalog-driven operations with software templates
- Standardising environments with opinionated blueprints
- Cross-platform observability and standardised dashboards
- Onboarding workflows for new services and teams
- API gateway management and developer documentation
- Authentication and access control for internal services
- Internal rate limiting and cost allocation tracking
- Golden path journeys for common development tasks
- Operational handoff and ownership models
- Automated security scanning and policy enforcement
- Self-service provisioning of staging and test environments
- Feedback channels between platform and product teams
- Measuring platform adoption and developer satisfaction
- Platform team staffing, structure, and career paths
- Scaling platform teams across regions and functions
- Continuous platform improvement using metrics and retrospectives
Module 10: FinOps and Cost Management in Cloud Native - Introduction to FinOps: culture, practices, and responsibilities
- Cost allocation by team, project, and service
- Chargeback and showback models for transparency
- Resource tagging standards and enforcement
- Monitoring cloud spend with Kubecost and OpenCost
- Cost-per-request and cost-per-user analysis
- Spot instances and preemptible nodes for cost savings
- Right-sizing recommendations based on utilisation
- Scaling to zero: cost impact of idle workloads
- Budgeting and forecasting tools integration
- Anomaly detection and alerting on cost spikes
- Reserved instances and savings plans for predictable workloads
- Serverless cost models: pay-per-execution vs always-on
- Database cost optimisation strategies
- Storage tiering and lifecycle policies
- Network egress cost reduction techniques
- Cross-cloud cost comparison frameworks
- Cost-aware scheduling and placement policies
- Executive reporting and FinOps dashboards
- Collaboration between engineering, finance, and procurement
Module 11: Multi-Cloud and Hybrid Cloud Operations - Defining multi-cloud vs hybrid cloud strategies
- Avoiding vendor lock-in with portable architectures
- Workload portability using Kubernetes CRDs and Operators
- Cluster API for declarative cluster lifecycle management
- Managing clusters across AWS, Azure, GCP, and on-prem
- Federation with KubeFed and multi-cluster service discovery
- Data residency and sovereignty compliance
- Disaster recovery across cloud providers
- Unified identity and access management across clouds
- Cross-cloud monitoring with Thanos and Cortex
- Centralised logging across heterogeneous environments
- Traffic routing and failover between regions and clouds
- Latency-aware service routing and GSLB
- Cloud bursting strategies during peak demand
- Edge computing and cloud-native application distribution
- Operating in air-gapped and offline environments
- On-prem upgrades and patching cadence
- Regulatory compliance in distributed deployments
- Unified policy engine for multi-cloud governance
- Cost optimisation across cloud boundaries
Module 12: Advanced Certification and Real-World Implementation - Final assessment and mastery verification
- Hands-on implementation lab: deploy a resilient cloud native platform
- Design and execute a chaos experiment with real impact metrics
- Configure full observability stack across logs, metrics, and traces
- Implement GitOps workflow with continuous reconciliation
- Secure the platform with mTLS, policy engines, and secrets management
- Integrate CI/CD pipeline with SLO-based promotion gates
- Optimise resource scaling and conduct cost analysis
- Document architectural decisions and operational runbooks
- Peer review and expert feedback on implementation
- Develop a 90-day transformation roadmap for your organisation
- Identify key stakeholders and change management strategies
- Measure success: KPIs, reporting cadence, and improvement cycles
- Transition from project to product thinking in operations
- Scaling best practices across teams and business units
- Knowledge transfer and internal enablement plans
- Build a feedback loop for continuous operational learning
- Final synthesis: integrating all modules into a cohesive practice
- Earn your Certificate of Completion issued by The Art of Service
- Next steps: advanced certifications, community, and continued learning
- Kubernetes architecture: control plane, worker nodes, and API server
- Pods, deployments, services, and replica sets in Kubernetes
- Understanding namespaces and resource quotas for multi-tenancy
- Networking in Kubernetes: CNI plugins and service discovery
- Ingress controllers and load balancing strategies
- Storage classes, persistent volumes, and dynamic provisioning
- ConfigMaps and Secrets: managing configuration securely
- Role-Based Access Control (RBAC) in Kubernetes clusters
- Cluster lifecycle management and upgrade strategies
- Multi-cluster patterns: federation, service mesh integration, and failover
- Managed Kubernetes services: EKS, GKE, AKS compared
- OpenShift architecture and Red Hat enterprise integration
- HashiCorp Nomad: lightweight orchestration for hybrid workloads
- Container runtimes: containerd, CRI-O, and security implications
- Kubernetes APIs and the extension mechanisms (CRDs, Operators)
- Understanding Helm charts and packaging strategies
- GitOps principles and tools: ArgoCD, Flux, and reconciliation loops
- Custom Resource Definitions (CRDs) and operator patterns
- Service accounts, tokens, and workload identity
- Health checks: liveness, readiness, and startup probes
Module 3: Resilience Engineering and Fault Tolerance - Defining resilience in distributed cloud systems
- Failure modes in microservices: cascading failures, retries, and timeouts
- Circuit breakers and bulkheads: patterns from the Netflix OSS stack
- Designing for graceful degradation and partial functionality
- Health probing and self-healing mechanisms in orchestration systems
- Pod disruption budgets and voluntary eviction controls
- Pod anti-affinity and topology spread constraints for high availability
- Multi-AZ and multi-region deployment strategies
- Disaster recovery planning for cloud native environments
- Backup and restore of etcd and application data
- Chaos engineering: principles, tooling, and ethical considerations
- Implementing controlled failure experiments using LitmusChaos
- Latency injection, network partitioning, and resource starvation tests
- Automated resilience validation through CI/CD pipelines
- Service level objectives (SLOs) and error budget management
- Measuring reliability through availability, durability, and recovery KPIs
- Designing anti-fragile systems that improve under stress
- Automated rollback mechanisms and canary validation triggers
- Incident readiness: runbooks, alert silencing, and response workflows
- Postmortem analysis and blameless culture in SRE
Module 4: Scalability Patterns and Performance Optimisation - Horizontal vs vertical vs diagonal scaling strategies
- Understanding request rate, latency, and concurrency dynamics
- Pod autoscaling: Horizontal Pod Autoscaler (HPA) and metrics pipeline
- Custom metrics and external metrics integration with Prometheus
- Vertical Pod Autoscaler (VPA): use cases and limitations
- Cluster Autoscaler and node pool management
- Autoscaling in serverless and Knative environments
- Capacity planning and resource forecasting models
- Request and limit tuning for CPU and memory efficiency
- Quality of Service classes and pod scheduling implications
- Pod priority and preemption for critical workloads
- Efficient container image optimisation and layer reuse
- Multi-architecture image support (arm64, amd64)
- Resource quotas and limit ranges per namespace
- Monitoring resource utilisation and identifying waste
- Right-sizing workloads through performance benchmarking
- Load testing cloud native applications with k6 and Locust
- Rate limiting and throttling at the API gateway level
- Database connection pooling and concurrency bottlenecks
- CDN and edge caching for frontend scalability
Module 5: Observability and Monitoring in Production - The three pillars of observability: logs, metrics, and traces
- Structured logging with JSON and correlation IDs
- Centralised log aggregation using Fluentd, Loki, and EFK stack
- Log retention policies and compliance considerations
- Metrics collection with Prometheus and OpenMetrics
- Service dashboards using Grafana and Kiali
- Recording rules and alerting rules in Prometheus
- Distributed tracing with Jaeger and OpenTelemetry
- Context propagation across microservices
- Service maps and dependency visualisation
- Custom instrumentation for business-critical flows
- Metrics-based alerting with Alertmanager
- Silencing, grouping, and routing alert notifications
- Incident triage workflows and severity classification
- Setting up meaningful Service Level Indicators (SLIs)
- Defining achievable Service Level Objectives (SLOs)
- Error budget burn rate calculations and alerts
- Golden signals: latency, traffic, errors, and saturation
- Health endpoint monitoring and synthetic transactions
- Event correlation and root cause analysis
Module 6: Security and Compliance at Scale - Shared responsibility model in cloud native environments
- Zero Trust architecture and continuous verification
- Network policies and micro-segmentation in Kubernetes
- Pod security policies and Pod Security Admission (PSA)
- Image scanning and vulnerability management with Trivy and Clair
- Immutable tags and content trust in container registries
- Software Bill of Materials (SBOM) generation and analysis
- Supply chain security with Sigstore and Cosign
- Policy enforcement with OPA and Kyverno
- Admission controllers and webhook validation
- Runtime security monitoring with Falco
- File integrity monitoring and process profiling
- Hardening worker nodes and control plane components
- Secrets management with HashiCorp Vault and external secret operators
- Dynamic secrets, leasing, and rotation strategies
- Least privilege access and just-in-time provisioning
- Audit logging in Kubernetes API server and event retention
- Compliance frameworks: NIST, CIS, SOC 2, GDPR, HIPAA mapping
- Policy as code: automating compliance validation
- Automated compliance reporting and executive dashboards
Module 7: CI/CD Pipelines for Cloud Native Deployment - Advanced CI/CD design patterns for microservices
- Monorepo vs polyrepo trade-offs in CI/CD context
- Trunk-based development and feature flags
- Pipeline as code using Tekton and Jenkins X
- Build caching and reproducibility with Kaniko
- Container image signing and provenance
- Canary deployments with Flagger and service mesh integration
- Blue-green rollout strategies and traffic shifting
- A/B testing and progressive delivery in production
- Multistage pipeline design: build, test, scan, promote
- Automated rollback triggers based on SLO violations
- Integration testing in ephemeral environments
- Artifact management with Harbor and Artifactory
- Dependency management and semantic versioning
- Automated dependency updates with Renovate
- Approval gates and compliance checks in pipelines
- Pipeline security: preventing secrets leakage and CI injection
- Parallel execution and pipeline optimisation
- Environment templating with Kustomize and Helm
- Immutable environments and drift detection
Module 8: Service Mesh and Advanced Connectivity - Introduction to service mesh: data plane vs control plane
- Istio architecture: Envoy proxies, Pilot, Citadel, Galley
- Linkerd lightweight mesh for performance-sensitive clusters
- Sidecar proxy injection and transparent traffic interception
- mTLS encryption and automatic certificate rotation
- Traffic shifting and routing rules in Istio
- Virtual services and destination rules configuration
- Fault injection and performance degradation testing
- Circuit breaking and request timeout enforcement
- Request mirroring for A/B testing and risk mitigation
- Policy enforcement via authorization policies
- Request headers, JWT tokens, and identity propagation
- Multi-mesh topologies and mesh gateways
- Service mesh observability: telemetry, tracing, and metrics
- Access logging and audit trails for compliance
- Rate limiting and quota enforcement at mesh level
- Integration with external identity providers (OAuth, LDAP)
- Canary rollouts with progressive traffic migration
- Multi-cluster service mesh federation
- Service mesh cost, complexity, and operational overhead
Module 9: Platform Engineering and Internal Developer Platforms - Shift-left principles and developer self-service
- Defining platform as a product (PaaP) mindset
- Developer experience (DevEx) metrics and feedback loops
- Backstage: open source platform for developer portals
- Catalog-driven operations with software templates
- Standardising environments with opinionated blueprints
- Cross-platform observability and standardised dashboards
- Onboarding workflows for new services and teams
- API gateway management and developer documentation
- Authentication and access control for internal services
- Internal rate limiting and cost allocation tracking
- Golden path journeys for common development tasks
- Operational handoff and ownership models
- Automated security scanning and policy enforcement
- Self-service provisioning of staging and test environments
- Feedback channels between platform and product teams
- Measuring platform adoption and developer satisfaction
- Platform team staffing, structure, and career paths
- Scaling platform teams across regions and functions
- Continuous platform improvement using metrics and retrospectives
Module 10: FinOps and Cost Management in Cloud Native - Introduction to FinOps: culture, practices, and responsibilities
- Cost allocation by team, project, and service
- Chargeback and showback models for transparency
- Resource tagging standards and enforcement
- Monitoring cloud spend with Kubecost and OpenCost
- Cost-per-request and cost-per-user analysis
- Spot instances and preemptible nodes for cost savings
- Right-sizing recommendations based on utilisation
- Scaling to zero: cost impact of idle workloads
- Budgeting and forecasting tools integration
- Anomaly detection and alerting on cost spikes
- Reserved instances and savings plans for predictable workloads
- Serverless cost models: pay-per-execution vs always-on
- Database cost optimisation strategies
- Storage tiering and lifecycle policies
- Network egress cost reduction techniques
- Cross-cloud cost comparison frameworks
- Cost-aware scheduling and placement policies
- Executive reporting and FinOps dashboards
- Collaboration between engineering, finance, and procurement
Module 11: Multi-Cloud and Hybrid Cloud Operations - Defining multi-cloud vs hybrid cloud strategies
- Avoiding vendor lock-in with portable architectures
- Workload portability using Kubernetes CRDs and Operators
- Cluster API for declarative cluster lifecycle management
- Managing clusters across AWS, Azure, GCP, and on-prem
- Federation with KubeFed and multi-cluster service discovery
- Data residency and sovereignty compliance
- Disaster recovery across cloud providers
- Unified identity and access management across clouds
- Cross-cloud monitoring with Thanos and Cortex
- Centralised logging across heterogeneous environments
- Traffic routing and failover between regions and clouds
- Latency-aware service routing and GSLB
- Cloud bursting strategies during peak demand
- Edge computing and cloud-native application distribution
- Operating in air-gapped and offline environments
- On-prem upgrades and patching cadence
- Regulatory compliance in distributed deployments
- Unified policy engine for multi-cloud governance
- Cost optimisation across cloud boundaries
Module 12: Advanced Certification and Real-World Implementation - Final assessment and mastery verification
- Hands-on implementation lab: deploy a resilient cloud native platform
- Design and execute a chaos experiment with real impact metrics
- Configure full observability stack across logs, metrics, and traces
- Implement GitOps workflow with continuous reconciliation
- Secure the platform with mTLS, policy engines, and secrets management
- Integrate CI/CD pipeline with SLO-based promotion gates
- Optimise resource scaling and conduct cost analysis
- Document architectural decisions and operational runbooks
- Peer review and expert feedback on implementation
- Develop a 90-day transformation roadmap for your organisation
- Identify key stakeholders and change management strategies
- Measure success: KPIs, reporting cadence, and improvement cycles
- Transition from project to product thinking in operations
- Scaling best practices across teams and business units
- Knowledge transfer and internal enablement plans
- Build a feedback loop for continuous operational learning
- Final synthesis: integrating all modules into a cohesive practice
- Earn your Certificate of Completion issued by The Art of Service
- Next steps: advanced certifications, community, and continued learning
- Horizontal vs vertical vs diagonal scaling strategies
- Understanding request rate, latency, and concurrency dynamics
- Pod autoscaling: Horizontal Pod Autoscaler (HPA) and metrics pipeline
- Custom metrics and external metrics integration with Prometheus
- Vertical Pod Autoscaler (VPA): use cases and limitations
- Cluster Autoscaler and node pool management
- Autoscaling in serverless and Knative environments
- Capacity planning and resource forecasting models
- Request and limit tuning for CPU and memory efficiency
- Quality of Service classes and pod scheduling implications
- Pod priority and preemption for critical workloads
- Efficient container image optimisation and layer reuse
- Multi-architecture image support (arm64, amd64)
- Resource quotas and limit ranges per namespace
- Monitoring resource utilisation and identifying waste
- Right-sizing workloads through performance benchmarking
- Load testing cloud native applications with k6 and Locust
- Rate limiting and throttling at the API gateway level
- Database connection pooling and concurrency bottlenecks
- CDN and edge caching for frontend scalability
Module 5: Observability and Monitoring in Production - The three pillars of observability: logs, metrics, and traces
- Structured logging with JSON and correlation IDs
- Centralised log aggregation using Fluentd, Loki, and EFK stack
- Log retention policies and compliance considerations
- Metrics collection with Prometheus and OpenMetrics
- Service dashboards using Grafana and Kiali
- Recording rules and alerting rules in Prometheus
- Distributed tracing with Jaeger and OpenTelemetry
- Context propagation across microservices
- Service maps and dependency visualisation
- Custom instrumentation for business-critical flows
- Metrics-based alerting with Alertmanager
- Silencing, grouping, and routing alert notifications
- Incident triage workflows and severity classification
- Setting up meaningful Service Level Indicators (SLIs)
- Defining achievable Service Level Objectives (SLOs)
- Error budget burn rate calculations and alerts
- Golden signals: latency, traffic, errors, and saturation
- Health endpoint monitoring and synthetic transactions
- Event correlation and root cause analysis
Module 6: Security and Compliance at Scale - Shared responsibility model in cloud native environments
- Zero Trust architecture and continuous verification
- Network policies and micro-segmentation in Kubernetes
- Pod security policies and Pod Security Admission (PSA)
- Image scanning and vulnerability management with Trivy and Clair
- Immutable tags and content trust in container registries
- Software Bill of Materials (SBOM) generation and analysis
- Supply chain security with Sigstore and Cosign
- Policy enforcement with OPA and Kyverno
- Admission controllers and webhook validation
- Runtime security monitoring with Falco
- File integrity monitoring and process profiling
- Hardening worker nodes and control plane components
- Secrets management with HashiCorp Vault and external secret operators
- Dynamic secrets, leasing, and rotation strategies
- Least privilege access and just-in-time provisioning
- Audit logging in Kubernetes API server and event retention
- Compliance frameworks: NIST, CIS, SOC 2, GDPR, HIPAA mapping
- Policy as code: automating compliance validation
- Automated compliance reporting and executive dashboards
Module 7: CI/CD Pipelines for Cloud Native Deployment - Advanced CI/CD design patterns for microservices
- Monorepo vs polyrepo trade-offs in CI/CD context
- Trunk-based development and feature flags
- Pipeline as code using Tekton and Jenkins X
- Build caching and reproducibility with Kaniko
- Container image signing and provenance
- Canary deployments with Flagger and service mesh integration
- Blue-green rollout strategies and traffic shifting
- A/B testing and progressive delivery in production
- Multistage pipeline design: build, test, scan, promote
- Automated rollback triggers based on SLO violations
- Integration testing in ephemeral environments
- Artifact management with Harbor and Artifactory
- Dependency management and semantic versioning
- Automated dependency updates with Renovate
- Approval gates and compliance checks in pipelines
- Pipeline security: preventing secrets leakage and CI injection
- Parallel execution and pipeline optimisation
- Environment templating with Kustomize and Helm
- Immutable environments and drift detection
Module 8: Service Mesh and Advanced Connectivity - Introduction to service mesh: data plane vs control plane
- Istio architecture: Envoy proxies, Pilot, Citadel, Galley
- Linkerd lightweight mesh for performance-sensitive clusters
- Sidecar proxy injection and transparent traffic interception
- mTLS encryption and automatic certificate rotation
- Traffic shifting and routing rules in Istio
- Virtual services and destination rules configuration
- Fault injection and performance degradation testing
- Circuit breaking and request timeout enforcement
- Request mirroring for A/B testing and risk mitigation
- Policy enforcement via authorization policies
- Request headers, JWT tokens, and identity propagation
- Multi-mesh topologies and mesh gateways
- Service mesh observability: telemetry, tracing, and metrics
- Access logging and audit trails for compliance
- Rate limiting and quota enforcement at mesh level
- Integration with external identity providers (OAuth, LDAP)
- Canary rollouts with progressive traffic migration
- Multi-cluster service mesh federation
- Service mesh cost, complexity, and operational overhead
Module 9: Platform Engineering and Internal Developer Platforms - Shift-left principles and developer self-service
- Defining platform as a product (PaaP) mindset
- Developer experience (DevEx) metrics and feedback loops
- Backstage: open source platform for developer portals
- Catalog-driven operations with software templates
- Standardising environments with opinionated blueprints
- Cross-platform observability and standardised dashboards
- Onboarding workflows for new services and teams
- API gateway management and developer documentation
- Authentication and access control for internal services
- Internal rate limiting and cost allocation tracking
- Golden path journeys for common development tasks
- Operational handoff and ownership models
- Automated security scanning and policy enforcement
- Self-service provisioning of staging and test environments
- Feedback channels between platform and product teams
- Measuring platform adoption and developer satisfaction
- Platform team staffing, structure, and career paths
- Scaling platform teams across regions and functions
- Continuous platform improvement using metrics and retrospectives
Module 10: FinOps and Cost Management in Cloud Native - Introduction to FinOps: culture, practices, and responsibilities
- Cost allocation by team, project, and service
- Chargeback and showback models for transparency
- Resource tagging standards and enforcement
- Monitoring cloud spend with Kubecost and OpenCost
- Cost-per-request and cost-per-user analysis
- Spot instances and preemptible nodes for cost savings
- Right-sizing recommendations based on utilisation
- Scaling to zero: cost impact of idle workloads
- Budgeting and forecasting tools integration
- Anomaly detection and alerting on cost spikes
- Reserved instances and savings plans for predictable workloads
- Serverless cost models: pay-per-execution vs always-on
- Database cost optimisation strategies
- Storage tiering and lifecycle policies
- Network egress cost reduction techniques
- Cross-cloud cost comparison frameworks
- Cost-aware scheduling and placement policies
- Executive reporting and FinOps dashboards
- Collaboration between engineering, finance, and procurement
Module 11: Multi-Cloud and Hybrid Cloud Operations - Defining multi-cloud vs hybrid cloud strategies
- Avoiding vendor lock-in with portable architectures
- Workload portability using Kubernetes CRDs and Operators
- Cluster API for declarative cluster lifecycle management
- Managing clusters across AWS, Azure, GCP, and on-prem
- Federation with KubeFed and multi-cluster service discovery
- Data residency and sovereignty compliance
- Disaster recovery across cloud providers
- Unified identity and access management across clouds
- Cross-cloud monitoring with Thanos and Cortex
- Centralised logging across heterogeneous environments
- Traffic routing and failover between regions and clouds
- Latency-aware service routing and GSLB
- Cloud bursting strategies during peak demand
- Edge computing and cloud-native application distribution
- Operating in air-gapped and offline environments
- On-prem upgrades and patching cadence
- Regulatory compliance in distributed deployments
- Unified policy engine for multi-cloud governance
- Cost optimisation across cloud boundaries
Module 12: Advanced Certification and Real-World Implementation - Final assessment and mastery verification
- Hands-on implementation lab: deploy a resilient cloud native platform
- Design and execute a chaos experiment with real impact metrics
- Configure full observability stack across logs, metrics, and traces
- Implement GitOps workflow with continuous reconciliation
- Secure the platform with mTLS, policy engines, and secrets management
- Integrate CI/CD pipeline with SLO-based promotion gates
- Optimise resource scaling and conduct cost analysis
- Document architectural decisions and operational runbooks
- Peer review and expert feedback on implementation
- Develop a 90-day transformation roadmap for your organisation
- Identify key stakeholders and change management strategies
- Measure success: KPIs, reporting cadence, and improvement cycles
- Transition from project to product thinking in operations
- Scaling best practices across teams and business units
- Knowledge transfer and internal enablement plans
- Build a feedback loop for continuous operational learning
- Final synthesis: integrating all modules into a cohesive practice
- Earn your Certificate of Completion issued by The Art of Service
- Next steps: advanced certifications, community, and continued learning
- Shared responsibility model in cloud native environments
- Zero Trust architecture and continuous verification
- Network policies and micro-segmentation in Kubernetes
- Pod security policies and Pod Security Admission (PSA)
- Image scanning and vulnerability management with Trivy and Clair
- Immutable tags and content trust in container registries
- Software Bill of Materials (SBOM) generation and analysis
- Supply chain security with Sigstore and Cosign
- Policy enforcement with OPA and Kyverno
- Admission controllers and webhook validation
- Runtime security monitoring with Falco
- File integrity monitoring and process profiling
- Hardening worker nodes and control plane components
- Secrets management with HashiCorp Vault and external secret operators
- Dynamic secrets, leasing, and rotation strategies
- Least privilege access and just-in-time provisioning
- Audit logging in Kubernetes API server and event retention
- Compliance frameworks: NIST, CIS, SOC 2, GDPR, HIPAA mapping
- Policy as code: automating compliance validation
- Automated compliance reporting and executive dashboards
Module 7: CI/CD Pipelines for Cloud Native Deployment - Advanced CI/CD design patterns for microservices
- Monorepo vs polyrepo trade-offs in CI/CD context
- Trunk-based development and feature flags
- Pipeline as code using Tekton and Jenkins X
- Build caching and reproducibility with Kaniko
- Container image signing and provenance
- Canary deployments with Flagger and service mesh integration
- Blue-green rollout strategies and traffic shifting
- A/B testing and progressive delivery in production
- Multistage pipeline design: build, test, scan, promote
- Automated rollback triggers based on SLO violations
- Integration testing in ephemeral environments
- Artifact management with Harbor and Artifactory
- Dependency management and semantic versioning
- Automated dependency updates with Renovate
- Approval gates and compliance checks in pipelines
- Pipeline security: preventing secrets leakage and CI injection
- Parallel execution and pipeline optimisation
- Environment templating with Kustomize and Helm
- Immutable environments and drift detection
Module 8: Service Mesh and Advanced Connectivity - Introduction to service mesh: data plane vs control plane
- Istio architecture: Envoy proxies, Pilot, Citadel, Galley
- Linkerd lightweight mesh for performance-sensitive clusters
- Sidecar proxy injection and transparent traffic interception
- mTLS encryption and automatic certificate rotation
- Traffic shifting and routing rules in Istio
- Virtual services and destination rules configuration
- Fault injection and performance degradation testing
- Circuit breaking and request timeout enforcement
- Request mirroring for A/B testing and risk mitigation
- Policy enforcement via authorization policies
- Request headers, JWT tokens, and identity propagation
- Multi-mesh topologies and mesh gateways
- Service mesh observability: telemetry, tracing, and metrics
- Access logging and audit trails for compliance
- Rate limiting and quota enforcement at mesh level
- Integration with external identity providers (OAuth, LDAP)
- Canary rollouts with progressive traffic migration
- Multi-cluster service mesh federation
- Service mesh cost, complexity, and operational overhead
Module 9: Platform Engineering and Internal Developer Platforms - Shift-left principles and developer self-service
- Defining platform as a product (PaaP) mindset
- Developer experience (DevEx) metrics and feedback loops
- Backstage: open source platform for developer portals
- Catalog-driven operations with software templates
- Standardising environments with opinionated blueprints
- Cross-platform observability and standardised dashboards
- Onboarding workflows for new services and teams
- API gateway management and developer documentation
- Authentication and access control for internal services
- Internal rate limiting and cost allocation tracking
- Golden path journeys for common development tasks
- Operational handoff and ownership models
- Automated security scanning and policy enforcement
- Self-service provisioning of staging and test environments
- Feedback channels between platform and product teams
- Measuring platform adoption and developer satisfaction
- Platform team staffing, structure, and career paths
- Scaling platform teams across regions and functions
- Continuous platform improvement using metrics and retrospectives
Module 10: FinOps and Cost Management in Cloud Native - Introduction to FinOps: culture, practices, and responsibilities
- Cost allocation by team, project, and service
- Chargeback and showback models for transparency
- Resource tagging standards and enforcement
- Monitoring cloud spend with Kubecost and OpenCost
- Cost-per-request and cost-per-user analysis
- Spot instances and preemptible nodes for cost savings
- Right-sizing recommendations based on utilisation
- Scaling to zero: cost impact of idle workloads
- Budgeting and forecasting tools integration
- Anomaly detection and alerting on cost spikes
- Reserved instances and savings plans for predictable workloads
- Serverless cost models: pay-per-execution vs always-on
- Database cost optimisation strategies
- Storage tiering and lifecycle policies
- Network egress cost reduction techniques
- Cross-cloud cost comparison frameworks
- Cost-aware scheduling and placement policies
- Executive reporting and FinOps dashboards
- Collaboration between engineering, finance, and procurement
Module 11: Multi-Cloud and Hybrid Cloud Operations - Defining multi-cloud vs hybrid cloud strategies
- Avoiding vendor lock-in with portable architectures
- Workload portability using Kubernetes CRDs and Operators
- Cluster API for declarative cluster lifecycle management
- Managing clusters across AWS, Azure, GCP, and on-prem
- Federation with KubeFed and multi-cluster service discovery
- Data residency and sovereignty compliance
- Disaster recovery across cloud providers
- Unified identity and access management across clouds
- Cross-cloud monitoring with Thanos and Cortex
- Centralised logging across heterogeneous environments
- Traffic routing and failover between regions and clouds
- Latency-aware service routing and GSLB
- Cloud bursting strategies during peak demand
- Edge computing and cloud-native application distribution
- Operating in air-gapped and offline environments
- On-prem upgrades and patching cadence
- Regulatory compliance in distributed deployments
- Unified policy engine for multi-cloud governance
- Cost optimisation across cloud boundaries
Module 12: Advanced Certification and Real-World Implementation - Final assessment and mastery verification
- Hands-on implementation lab: deploy a resilient cloud native platform
- Design and execute a chaos experiment with real impact metrics
- Configure full observability stack across logs, metrics, and traces
- Implement GitOps workflow with continuous reconciliation
- Secure the platform with mTLS, policy engines, and secrets management
- Integrate CI/CD pipeline with SLO-based promotion gates
- Optimise resource scaling and conduct cost analysis
- Document architectural decisions and operational runbooks
- Peer review and expert feedback on implementation
- Develop a 90-day transformation roadmap for your organisation
- Identify key stakeholders and change management strategies
- Measure success: KPIs, reporting cadence, and improvement cycles
- Transition from project to product thinking in operations
- Scaling best practices across teams and business units
- Knowledge transfer and internal enablement plans
- Build a feedback loop for continuous operational learning
- Final synthesis: integrating all modules into a cohesive practice
- Earn your Certificate of Completion issued by The Art of Service
- Next steps: advanced certifications, community, and continued learning
- Introduction to service mesh: data plane vs control plane
- Istio architecture: Envoy proxies, Pilot, Citadel, Galley
- Linkerd lightweight mesh for performance-sensitive clusters
- Sidecar proxy injection and transparent traffic interception
- mTLS encryption and automatic certificate rotation
- Traffic shifting and routing rules in Istio
- Virtual services and destination rules configuration
- Fault injection and performance degradation testing
- Circuit breaking and request timeout enforcement
- Request mirroring for A/B testing and risk mitigation
- Policy enforcement via authorization policies
- Request headers, JWT tokens, and identity propagation
- Multi-mesh topologies and mesh gateways
- Service mesh observability: telemetry, tracing, and metrics
- Access logging and audit trails for compliance
- Rate limiting and quota enforcement at mesh level
- Integration with external identity providers (OAuth, LDAP)
- Canary rollouts with progressive traffic migration
- Multi-cluster service mesh federation
- Service mesh cost, complexity, and operational overhead
Module 9: Platform Engineering and Internal Developer Platforms - Shift-left principles and developer self-service
- Defining platform as a product (PaaP) mindset
- Developer experience (DevEx) metrics and feedback loops
- Backstage: open source platform for developer portals
- Catalog-driven operations with software templates
- Standardising environments with opinionated blueprints
- Cross-platform observability and standardised dashboards
- Onboarding workflows for new services and teams
- API gateway management and developer documentation
- Authentication and access control for internal services
- Internal rate limiting and cost allocation tracking
- Golden path journeys for common development tasks
- Operational handoff and ownership models
- Automated security scanning and policy enforcement
- Self-service provisioning of staging and test environments
- Feedback channels between platform and product teams
- Measuring platform adoption and developer satisfaction
- Platform team staffing, structure, and career paths
- Scaling platform teams across regions and functions
- Continuous platform improvement using metrics and retrospectives
Module 10: FinOps and Cost Management in Cloud Native - Introduction to FinOps: culture, practices, and responsibilities
- Cost allocation by team, project, and service
- Chargeback and showback models for transparency
- Resource tagging standards and enforcement
- Monitoring cloud spend with Kubecost and OpenCost
- Cost-per-request and cost-per-user analysis
- Spot instances and preemptible nodes for cost savings
- Right-sizing recommendations based on utilisation
- Scaling to zero: cost impact of idle workloads
- Budgeting and forecasting tools integration
- Anomaly detection and alerting on cost spikes
- Reserved instances and savings plans for predictable workloads
- Serverless cost models: pay-per-execution vs always-on
- Database cost optimisation strategies
- Storage tiering and lifecycle policies
- Network egress cost reduction techniques
- Cross-cloud cost comparison frameworks
- Cost-aware scheduling and placement policies
- Executive reporting and FinOps dashboards
- Collaboration between engineering, finance, and procurement
Module 11: Multi-Cloud and Hybrid Cloud Operations - Defining multi-cloud vs hybrid cloud strategies
- Avoiding vendor lock-in with portable architectures
- Workload portability using Kubernetes CRDs and Operators
- Cluster API for declarative cluster lifecycle management
- Managing clusters across AWS, Azure, GCP, and on-prem
- Federation with KubeFed and multi-cluster service discovery
- Data residency and sovereignty compliance
- Disaster recovery across cloud providers
- Unified identity and access management across clouds
- Cross-cloud monitoring with Thanos and Cortex
- Centralised logging across heterogeneous environments
- Traffic routing and failover between regions and clouds
- Latency-aware service routing and GSLB
- Cloud bursting strategies during peak demand
- Edge computing and cloud-native application distribution
- Operating in air-gapped and offline environments
- On-prem upgrades and patching cadence
- Regulatory compliance in distributed deployments
- Unified policy engine for multi-cloud governance
- Cost optimisation across cloud boundaries
Module 12: Advanced Certification and Real-World Implementation - Final assessment and mastery verification
- Hands-on implementation lab: deploy a resilient cloud native platform
- Design and execute a chaos experiment with real impact metrics
- Configure full observability stack across logs, metrics, and traces
- Implement GitOps workflow with continuous reconciliation
- Secure the platform with mTLS, policy engines, and secrets management
- Integrate CI/CD pipeline with SLO-based promotion gates
- Optimise resource scaling and conduct cost analysis
- Document architectural decisions and operational runbooks
- Peer review and expert feedback on implementation
- Develop a 90-day transformation roadmap for your organisation
- Identify key stakeholders and change management strategies
- Measure success: KPIs, reporting cadence, and improvement cycles
- Transition from project to product thinking in operations
- Scaling best practices across teams and business units
- Knowledge transfer and internal enablement plans
- Build a feedback loop for continuous operational learning
- Final synthesis: integrating all modules into a cohesive practice
- Earn your Certificate of Completion issued by The Art of Service
- Next steps: advanced certifications, community, and continued learning
- Introduction to FinOps: culture, practices, and responsibilities
- Cost allocation by team, project, and service
- Chargeback and showback models for transparency
- Resource tagging standards and enforcement
- Monitoring cloud spend with Kubecost and OpenCost
- Cost-per-request and cost-per-user analysis
- Spot instances and preemptible nodes for cost savings
- Right-sizing recommendations based on utilisation
- Scaling to zero: cost impact of idle workloads
- Budgeting and forecasting tools integration
- Anomaly detection and alerting on cost spikes
- Reserved instances and savings plans for predictable workloads
- Serverless cost models: pay-per-execution vs always-on
- Database cost optimisation strategies
- Storage tiering and lifecycle policies
- Network egress cost reduction techniques
- Cross-cloud cost comparison frameworks
- Cost-aware scheduling and placement policies
- Executive reporting and FinOps dashboards
- Collaboration between engineering, finance, and procurement
Module 11: Multi-Cloud and Hybrid Cloud Operations - Defining multi-cloud vs hybrid cloud strategies
- Avoiding vendor lock-in with portable architectures
- Workload portability using Kubernetes CRDs and Operators
- Cluster API for declarative cluster lifecycle management
- Managing clusters across AWS, Azure, GCP, and on-prem
- Federation with KubeFed and multi-cluster service discovery
- Data residency and sovereignty compliance
- Disaster recovery across cloud providers
- Unified identity and access management across clouds
- Cross-cloud monitoring with Thanos and Cortex
- Centralised logging across heterogeneous environments
- Traffic routing and failover between regions and clouds
- Latency-aware service routing and GSLB
- Cloud bursting strategies during peak demand
- Edge computing and cloud-native application distribution
- Operating in air-gapped and offline environments
- On-prem upgrades and patching cadence
- Regulatory compliance in distributed deployments
- Unified policy engine for multi-cloud governance
- Cost optimisation across cloud boundaries
Module 12: Advanced Certification and Real-World Implementation - Final assessment and mastery verification
- Hands-on implementation lab: deploy a resilient cloud native platform
- Design and execute a chaos experiment with real impact metrics
- Configure full observability stack across logs, metrics, and traces
- Implement GitOps workflow with continuous reconciliation
- Secure the platform with mTLS, policy engines, and secrets management
- Integrate CI/CD pipeline with SLO-based promotion gates
- Optimise resource scaling and conduct cost analysis
- Document architectural decisions and operational runbooks
- Peer review and expert feedback on implementation
- Develop a 90-day transformation roadmap for your organisation
- Identify key stakeholders and change management strategies
- Measure success: KPIs, reporting cadence, and improvement cycles
- Transition from project to product thinking in operations
- Scaling best practices across teams and business units
- Knowledge transfer and internal enablement plans
- Build a feedback loop for continuous operational learning
- Final synthesis: integrating all modules into a cohesive practice
- Earn your Certificate of Completion issued by The Art of Service
- Next steps: advanced certifications, community, and continued learning
- Final assessment and mastery verification
- Hands-on implementation lab: deploy a resilient cloud native platform
- Design and execute a chaos experiment with real impact metrics
- Configure full observability stack across logs, metrics, and traces
- Implement GitOps workflow with continuous reconciliation
- Secure the platform with mTLS, policy engines, and secrets management
- Integrate CI/CD pipeline with SLO-based promotion gates
- Optimise resource scaling and conduct cost analysis
- Document architectural decisions and operational runbooks
- Peer review and expert feedback on implementation
- Develop a 90-day transformation roadmap for your organisation
- Identify key stakeholders and change management strategies
- Measure success: KPIs, reporting cadence, and improvement cycles
- Transition from project to product thinking in operations
- Scaling best practices across teams and business units
- Knowledge transfer and internal enablement plans
- Build a feedback loop for continuous operational learning
- Final synthesis: integrating all modules into a cohesive practice
- Earn your Certificate of Completion issued by The Art of Service
- Next steps: advanced certifications, community, and continued learning