Cloud Native Checklist

Cloud Native checklist

Capability Yes / No
Domain Context diagram current with dependencies shown
Exception logging
Logs stream or self-purge
Dynamically configurable log levels
Database connections self-heal
Dependency connections self-heal
Service auto-restarts on failure
Automated resource and performance monitoring
Have NFRs & SLAs defined for each service
Automated alerting for SLAs and NFRs
No manual install steps
Utilize Correlation ID
Load balanced
Automated smoke tests after each deployment
Heartbeat responds in less than 1 minute after startup
No start-up ordering required
Minimal critical dependencies
Graceful degradation for non-critical dependencies
Circuit breakers and request throttles in place

Principles and Practices

While practices may change over time, principles are expected to be less volatile.

Small, autonomous, highly-cohesive services

  • Prefer event-driven, asynchronous communications between services.
  • Prefer eventual consistency / replication of select data elements over shared data structures.
  • Be cautious about creating shared binary dependencies across services.
  • Services are able to be checked out and run locally using embedded DBs, and/or mocked endpoint dependencies as necessary.

Hypermedia-driven service interactions

  • Model resources on the domain.
  • Use embedded links to drive resource state transitions.
  • HATEOAS Reference

Modeled around business concepts

  • Produce a system context diagram to understand your system boundaries. Consider following c4 architecture diagramming techniques.
  • Follow Domain Driven Design practices to understand your domain early in development, and model your domain in your code.
  • Use bounded contexts to isolate service boundaries and converse with canonical-model-based systems.

Hide internal implementation details

  • Model bounded contexts
  • Use packaging to scope components.
  • Services own their data & hide their databases.
  • No database-driven integration.
  • Technology-agnostic APIs (ReST).

Decentralize everything

  • Self-service whenever possible.
  • Teams own their services (but also consider internal open source practices).
  • Align teams to the organization.
  • Prefer choreography over orchestration.
  • Dumb middleware, smart endpoints.
  • Deployable to cloud and local (DC/store) environments

Deploy independently

  • Coexist versioned endpoints.
  • Prefer targeted releases of individual services over habitual mass-installs of several services at once.
  • Avoid tightly bound client/server stub generation.
  • One service per host.
  • Blue/green release testing techniques.
  • Consumer-driven upgrade decisions.

Isolate failure

  • Don’t treat remote calls like local calls.
  • Set timeouts appropriately (consider TCP connect and read timeouts in the 90ish-percentiles)
  • Apply bulk-heading & circuit breaker patterns to limit fallout of failure.
  • Understand and design for what should happen during network partitioning (network failures)
  • Use redundancy & load balancing

Highly observable

  • Monitored endpoints.
  • Use synthetic transactions to simulate real user behavior.
  • Aggregate logs and statistics.
  • Use correlation IDs to trace calls throughout the system.

Culture of automation

  • Automated developer driven testing: unit, functional, contract, integration, performance, & etc.
  • Deploy the same way everywhere.
  • Implement continuous delivery practices.
  • Trunk based development over branching by feature/team/release to promote continuous integration practices.
  • In the face of a lack of automation/provisioning/monitoring, prefer a properly structured monolith over many segregated smaller services.


Last modified December 15, 2023: Reorganize (7579932)