Java and Spring Boot Production Checklist
The small Spring Boot defaults I like to review before a backend service gets close to production traffic.
TL;DR
Before a Spring Boot service reaches production, I like to review configuration, validation, database behavior, observability, and failure handling. Most production issues start as small defaults nobody revisited.
Configuration
Configuration should be explicit and environment-aware. Local defaults are useful, but production needs a clearer contract.
I check whether secrets come from environment variables or a secret manager, whether profiles are predictable, and whether risky defaults are disabled. I also prefer naming configuration properties in a way that explains the business intent, not only the library setting.
API Validation
Validation is one of the cheapest places to protect a service. Request DTOs should reject invalid input early, and error responses should be consistent enough for clients to understand.
For public APIs, I also think about idempotency, pagination limits, and what happens when a client sends the same request twice.
Database Behavior
Spring makes it easy to add @Transactional, but that does not mean every method should have a large transaction. I like to keep transactions close to the write, avoid remote calls inside transactions, and be careful with lazy loading in response mapping.
For read paths, indexes and query plans matter more than clean-looking repository names.
Observability
Useful logs should tell the story of a request. Metrics should show traffic, latency, errors, and dependency health. Traces should make cross-service debugging less painful.
At minimum, I want correlation IDs, structured logs, health endpoints, and a small set of dashboards that answer common production questions.
Failure Handling
Every service depends on something that can fail. The question is whether the failure is controlled.
Review these:
- Timeouts for outbound calls.
- Retry limits and backoff.
- Circuit breaker behavior for fragile dependencies.
- Clear mapping between exceptions and API responses.
- Dead-letter or recovery paths for async processing.
Conclusion
A good Spring Boot production checklist is not about making the app complicated. It is about making the important assumptions visible before traffic makes them expensive.