A tailored course, built for your situation
Deeper command of cloud-native architecture patterns
Master the underlying frameworks shaping modern cloud infrastructure design
Who this is for
Software Developer working in cloud infrastructure environments, involved in designing or maintaining scalable, secure, and maintainable systems using modern architectures
Who this is not for
Engineers focused solely on frontend development, legacy monolith maintenance, or non-cloud infrastructure roles
What you walk away with
- Internalize the logic behind Kubernetes orchestration patterns
- Apply service mesh design principles with confidence across projects
- Evaluate infrastructure-as-code frameworks against consistency and auditability
- Design declarative APIs using proven cloud-native conventions
- Anticipate next-gen architecture shifts based on current standards body signals
The 12 modules (with all 144 chapters)
- Immutability principle
- Declarative vs imperative
- API-first mindset
- Sidecar pattern logic
- Control loop basics
- Event-driven core
- Stateless services
- Config as code
- Health probes design
- Readiness checks
- Liveness mechanisms
- Self-healing logic
- API server role
- etcd consistency
- Scheduler logic
- Controller manager
- Kubelet function
- Pod lifecycle
- Node registration
- Taints and tolerations
- Affinity rules
- Resource quotas
- Limit ranges
- Namespace isolation
- Sidecar proxy role
- mTLS enforcement
- Traffic splitting
- Circuit breaking
- Retry budgets
- Rate limiting
- Request tracing
- Fault injection
- Canary rollout logic
- Blue-green mechanics
- Virtual service rules
- Destination policies
- State file security
- Plan apply workflow
- Module reusability
- Drift detection
- Backend configuration
- Remote state locking
- Policy as code
- Checkov integration
- Crossplane providers
- Pulumi Automation SDK
- Type safety benefits
- Stack isolation
- CRD schema design
- Status subresource
- Spec status separation
- Custom controller logic
- Reconciliation loop
- Finalizers usage
- Owner references
- Admission webhooks
- Validation rules
- OpenAPI v3 specs
- API versioning
- Deprecation strategy
- Structured logging
- Log aggregation
- Metric cardinality
- SLO calculation
- Error budget usage
- Prometheus exporters
- Grafana dashboards
- Distributed tracing
- Span context
- Trace sampling
- Health endpoint
- Readiness probes
- RBAC role design
- Role binding scope
- Service account usage
- Network policy rules
- Ingress isolation
- Egress control
- Pod security policies
- OPA Gatekeeper
- Falcon telemetry
- Image scanning
- CVE response
- Secrets management
- GitOps workflow
- ArgoCD sync
- Flux reconciliation
- Pipeline stages
- Build validation
- Security scanning
- Policy checks
- Automated rollback
- Approval gates
- Environment promotion
- Canary analysis
- Feature flags
- Horizontal pod autoscaler
- Vertical scaling limits
- Cluster autoscaler
- Load balancing modes
- Session affinity
- Pod disruption budgets
- Topology spread
- Resource requests
- Limits enforcement
- CPU vs memory
- QoS classes
- Throttling behavior
- ConfigMaps usage
- Secrets injection
- Environment overlays
- Kustomize patches
- Helm values
- Release templating
- Namespace strategy
- Context switching
- Cluster-specific config
- Feature toggles
- Dynamic reload
- Validation pipelines
- Node draining
- Rolling updates
- Max surge setting
- Max unavailable
- Version skew policy
- Addon upgrades
- Control plane updates
- Etcd backup
- Disaster recovery
- Rollback procedures
- Post-upgrade validation
- Deprecation timelines
- CNCF landscape
- Graduated projects
- Sandbox adoption
- Tech radar process
- Proof of concept
- Pilot evaluation
- Standards body input
- RFC contribution
- Internal advocacy
- Feedback loops
- Roadmap alignment
- Architecture review
How this maps to your situation
- Designing a new microservice architecture
- Migrating legacy systems to cloud-native models
- Optimizing CI/CD pipelines for compliance
- Responding to architecture review board feedback
Before vs. after
What's included with your purchase
- 12 modules with 12 chapters each (144 chapters)
- Downloadable templates and worked examples for every module
- Hand-built implementation playbook delivered alongside course access
- 30-day money-back guarantee
Delivery and format
- Course and learning environment access provisioned within 24 hours of purchase
- Hand-built implementation playbook delivered alongside course access
Format: Text-based modules and chapters in the Art of Service learning environment, plus downloadable templates and worked examples for every chapter, plus the hand-built implementation playbook delivered alongside course access.
Time investment: Approximately 3-4 hours per module, self-paced over 6-8 weeks
How this compares to the alternatives
Unlike generic cloud certifications, this course focuses on reasoning, not memorization, teaching you to evaluate and apply patterns, not just recognize them.
Frequently asked
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.