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Implement JSON Schema validation in a Java microservice to enforce contract compliance, define trust boundaries, and manage failure modes. The note covers requirements, minimal design, operational checks, failure handling, and when to change the architecture.
Learn how to add a Dropwizard HealthCheck to verify service liveness, see a full code example, and understand the limits and common pitfalls.
Learn how Fiber’s Prefork feature spreads TCP connections across multiple OS processes to utilize multiple cores, what state boundaries appear, and how to operate and verify the setup safely.
Learn how to structure Express.js microservices using Express.Router to isolate concerns, enforce middleware boundaries, and keep the main app file maintainable.
Deploy a lightweight Synonym‑Management microservice that pulls from a tenant‑specific source of truth, pushes to Algolia, and keeps the search tier stateless. This architecture note covers requirements, minimal design, trust boundaries, health checks, failure modes, and when to rethink the pattern.
Learn how to add a lightweight Dropwizard HealthCheck to monitor DB connectivity and expose it via the admin port for Kubernetes probes.
Apply Groovy’s @CompileStatic to a microservice’s core logic for Java‑level speed. This guide walks through the minimal design, build setup, operational checks, failure modes, and when to redesign—complete with code, Gradle snippets, and verification steps.
Decide whether to use Ballerina’s checked error with the ? operator, explicit error checks, or panic when calling external APIs in a microservice, based on latency, observability, and safety constraints.
dropwizard
java
fiber
express
nodejs
algolia
kubernetes
ballerina
json