Secure an internal ASP.NET Core API with mutual TLS, Kestrel client-certificate requirements, application-level certificate validation, claim policies, and certificate-aware HttpClient configuration while keeping private keys outside container images.
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.
Evolve a shared Kafka customer-profile event across independently deployed services without runtime deserialization failures, hidden data loss, or endless poison-message loops. The workflow covers event boundaries, schema formats, compatibility modes, controlled registration, deployment order, and breaking-change migrations.
A customer activity view updates when purchases arrive but stays stale after a profile change. Learn how to rekey records, choose KStream and KTable semantics correctly, build a table-to-table join, protect state with changelog topics, handle late data, and test recovery before production.
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.
Move a customer-data Kafka proof of concept into enterprise production by separating KRaft controllers from brokers, choosing an on-premises, managed, or hybrid deployment, securing every communication path, enforcing topic-level access, and protecting data at rest.
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.
A retail platform wants Kafka for microservice events, database replication, logs, analytics, worker tasks, and batch exports. Learn how to separate strong Kafka use cases from workloads that need queues, databases, object storage, ETL tools, or a different streaming platform.
Build a complete Kafka workflow for order events, from serialization and producer retries to consumer groups, rebalancing, offset commits, database updates, and recovery. The focus is preventing silent loss, duplicate processing, broken ordering, and unstable consumers.
Learn how to design Kafka topics for an inventory pipeline that preserves per-item ordering, scales consumer processing, survives broker failures, and retains the right data without treating Kafka like a general-purpose database.