Designing Log Management for Cloud-Native Java Services
Learn how Java logging levels, appenders, rotation, log formats, security rules, and centralized aggregation make production troubleshooting practical in distributed systems.
Learn how Java logging levels, appenders, rotation, log formats, security rules, and centralized aggregation make production troubleshooting practical in distributed systems.
Learn how to separate deployment from release, route traffic safely, compare rollout strategies, and plan maintenance work without creating unnecessary production risk.
Learn how Java code moves from source to deployable artifacts using Maven, repositories, containers, and CI/CD pipelines with tools such as Jenkins, Tekton, GitLab, and GitHub Actions.
Learn how Git, branching strategies, tags, and semantic versioning help Java teams keep source code traceable, reproducible, and ready for CI/CD.
Learn how to test Go persistence code against real containerized services, separate integration tests from fast unit tests, reuse containers safely, and keep CI feedback reliable.
Learn how to use Go's built-in testing tools to write clear unit tests, table-driven tests, subtests, parallel tests, benchmarks, fuzz tests, and CI-friendly checks that reduce production risk.
Learn how scalability, modularity, resiliency, PaaS, containers, Kubernetes, and twelve-factor practices fit together when designing Java services for cloud-native environments.
Learn how DevOps changes team ownership, why automation matters, and how DevSecOps, BizDevOps, and production feedback improve delivery quality.