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

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