Refactor a .NET worker so RabbitMQ stores jobs durably, Protobuf keeps message contracts compact and compatible, manual acknowledgments prevent silent loss, and idempotency protects business data when failed deliveries are retried.
Refactor a travel package API so a changed destination model does not break older clients. Use resource-based routes, URI versioning, additive DTO evolution, OpenAPI documents, JWT authorization, and typed HttpClient proxies to run old and new contracts side by side.
Refactor a growing catalog frontend into clear ASP.NET Core MVC, CQRS, domain, and EF Core boundaries while keeping authentication centralized, authorization local, controllers thin, and cross-service updates reliable.
Build an authenticated Blazor WebAssembly booking editor that validates a flattened ViewModel, repeats security checks on the server, sends bearer tokens through an authorization-aware HttpClient, redirects after token loss, and loads route-dependent data at the correct component lifecycle stage.
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.
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.