πŸ”Ή Resilience Lifecycle

A repeatable process to embed resilience in every workload:

  1. Set Objectives β†’ Define critical apps, user stories, and resilience metrics.
  2. Design & Implement β†’ Understand dependencies, build DR strategies, CI/CD, safe failure.
  3. Evaluate & Test β†’ Load testing, DR drills, chaos engineering, synthetic testing.
  4. Operate β†’ Continuous monitoring, observability, event management.
  5. Respond & Learn β†’ Incident reviews, training, metrics reviews, and knowledge base building.

Action:
Turn this into a cycle β€” after each release or incident, revisit objectives, test, and improve.


πŸ”Ή Resilience Tiers

Resilience is not one-size-fits-all. Workloads should be mapped to clear targets:

Action:
Map each workload to a tier. Don’t overspend on Platinum for apps that only need Silver.


πŸ”Ή Architectural Patterns

Proven approaches to withstand failure:

flowchart TB
  Platinum[Platinum<br/>Multi-region DBs<br/>e.g. DynamoDB Global Tables<br/>Cloud Spanner]
  Gold[Gold<br/>Multi-region replication<br/>e.g. Aurora Global DB<br/>CosmosDB]
  Silver[Silver<br/>Regional instances<br/>Basic recovery]

  Platinum --> Gold --> Silver

Key Questions:

Action:
Choose patterns that match the assigned tier. Build runbooks for load, database, and service failure scenarios.


πŸ”Ή Building a Resilience Strategy

A complete strategy includes:

flowchart TD
  Req[Requirements & Scope] --> Fail[Failure Modes]
  Fail --> Obs[Observability<br/>Metrics/Logs/Tracing]
  Obs --> Ops[Operations & Tools<br/>Runbooks, CI/CD, Chaos]
  Ops --> Req

Action:
Document a resilience playbook for each workload with failure modes, observability dashboards, and operational runbooks.


πŸ”Ή Operational Practices

Resilience is a culture as much as a design:

flowchart TD
  SO[Service Ownership] --> ORR[Operational Readiness Reviews]
  ORR --> CD[Safe Continuous Deployment]
  CD --> CoE[Correction of Errors]
  CoE --> SO

Action:
Make ORRs, CoEs, and service ownership standard rituals across teams.