Build a practical workflow for a Java team whose main branch keeps breaking: choose a branching model, keep commits small, automate formatting in CI, review code effectively, use pairing when risk is high, and keep REST API docs current before release.
Build a daily Java delivery workflow that reduces merge conflicts, keeps formatting consistent, makes code reviews focused, uses pair programming where it adds value, and prevents technical documentation from drifting away from the implementation.
Build a controlled DevSecOps delivery flow for a .NET application using pull request checks, automated tests, security gates, staged deployment, feature flags, approvals, and production feedback.
Build a layered .NET testing strategy that combines TDD, xUnit, Moq, controlled ASP.NET Core tests, BDD acceptance scenarios, and Selenium checks so a passing unit suite also protects real user workflows.
Use a practical decision process to compare IaaS, PaaS, SaaS, FaaS, and hybrid deployment for a new .NET application, then structure the system so faster delivery does not create avoidable operational work or permanent cloud lock-in.
Diagnose the configuration gap between .NET Aspire and Kubernetes by mapping service discovery, connection strings, health checks, secrets, persistent storage, replicas, and OpenTelemetry from the local App Host into production orchestration.
Integrate a .NET gRPC worker, synthetic message producer, and SQL Server resource with .NET Aspire so service discovery, startup ordering, migrations, health checks, and resilience are verified locally before the same containers move to Kubernetes.
A growing Kafka cluster stays overloaded after new brokers join because existing partitions do not move automatically. Learn how to rebalance safely, stage upgrades, monitor broker and client health, tune latency against durability, and select a disaster-recovery model using RTO and RPO.
Replace manual Kafka topic creation with a governed workflow that turns business events into versioned topic contracts, validates nonfunctional requirements, promotes environment-specific configuration through GitOps, and blocks incompatible or untested changes before production.
Learn how MicroProfile-style metrics and health checks give Java services real-time visibility for performance, alerts, readiness, liveness, and Kubernetes self-healing.