When to know you've outgrown your monolith and what to do about it

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Learn how to identify when your monolith needs breaking up and create an effective strategy for migrating to microservices while maintaining stability and velocity.

Key takeaways
  • Watch for key signals that you’ve outgrown your monolith:

    • Exponentially growing CI times
    • Large garbage collection overhead
    • Slow developer iteration cycles
    • Increasing deployment complexity
    • Developer productivity complaints
  • Start small and progressively derisk:

    • Begin with smaller, well-defined components
    • Prove success with initial extractions before tackling core services
    • Have clear intermediate milestones
    • Build confidence through incremental wins
  • Focus on measurable business impact:

    • Tie technical goals to business objectives
    • Track metrics like API latency improvements
    • Measure developer productivity gains
    • Document cost savings from infrastructure optimization
  • Build supporting tools and processes:

    • Package management system to control dependencies
    • Test selection and parallelization capabilities
    • Migration tooling and runbooks
    • Clear documentation
  • Drive engagement and momentum:

    • Celebrate both small and big wins
    • Maintain active communication channels
    • Create reusable knowledge base
    • Partner with product teams
  • Avoid common pitfalls:

    • Don’t be overly ambitious initially
    • Prevent regressions with proper testing
    • Cannot rely on heroics forever
    • One-time interventions won’t solve systematic issues
  • Have a clear ownership model:

    • Define team responsibilities
    • Establish service boundaries
    • Enable teams to work autonomously
    • Distribute maintenance work appropriately
  • Focus on making the codebase more modular:

    • Establish clear package boundaries
    • Control dependency imports/exports
    • Remove unnecessary coupling
    • Enable independent deployments