Small Batches
Deliver smaller, more frequent changes to reduce risk and increase feedback speed.
Phase 3: Optimize
Improve flow by reducing batch size, limiting work in progress, and using metrics to drive improvement.
2 minute read
Key question: “Can we deliver small changes quickly?”
With a working pipeline in place, this phase focuses on optimizing the flow of changes through it. Smaller batches, feature flags, and WIP limits reduce risk and increase delivery frequency.
What You’ll Do
- Reduce batch size - Deliver smaller, more frequent changes
- Use feature flags - Decouple deployment from release
- Limit work in progress - Focus on finishing over starting
- Drive improvement with metrics - Use DORA metrics and improvement kata
- Run effective retrospectives - Continuously improve the delivery process
- Decouple architecture - Enable independent deployment of components
- Align teams to code - Match team ownership to code boundaries for independent deployment
Why This Phase Matters
Having a pipeline isn’t enough - you need to optimize the flow through it. Teams that deploy weekly with a CD pipeline are missing most of the benefits. Small batches reduce risk, feature flags enable testing in production, and metrics-driven improvement creates a virtuous cycle of getting better at getting better.
When You’re Ready to Move On
You’re ready for Phase 4: Deliver on Demand when:
- Most changes are small enough to deploy independently
- Feature flags let you deploy incomplete features safely
- Your WIP limits keep work flowing without bottlenecks
- You’re measuring and improving your DORA metrics regularly
Next: Phase 4 - Continuous Deployment - remove the last manual gates and deploy on demand.
Related Content
- Phase 2: Pipeline - the previous phase that establishes the deployment pipeline this phase optimizes
- Phase 4: Deliver on Demand - the next phase after flow is optimized
- Infrequent Releases - a key symptom that the Optimize phase addresses
- Too Much WIP - a flow symptom targeted by WIP limits and small batches
- DORA Recommended Practices - the research-backed capabilities that drive delivery performance
- Deployment Frequency - the primary metric that improves as optimization takes hold
Feature Flags
Decouple deployment from release by using feature flags to control feature visibility.
Limiting Work in Progress
Focus on finishing work over starting new work to improve flow and reduce cycle time.
Metrics-Driven Improvement
Use DORA metrics and improvement kata to drive systematic delivery improvement.
Retrospectives
Continuously improve the delivery process through structured reflection.
Architecture Decoupling
Enable independent deployment of components by decoupling architecture boundaries.
Team Alignment to Code
Match team ownership boundaries to code boundaries so each team can build, test, and deploy its domain independently.
Hypothesis-Driven Development
Treat every change as an experiment with a predicted outcome, measure the result, and adjust future work based on evidence.