Learn how to design a REST API before implementation, generate Go server contracts from OpenAPI, keep HTTP code outside the domain, and evolve public endpoints without breaking clients.
Learn how to structure a Go service around models, ports, services, and adapters so business rules stay testable while databases, transports, and messaging tools remain replaceable.
Learn how to run a Go HTTP server with external configuration, safe timeouts, clear routes, observability headers, and graceful shutdown for reliable production deployments.
Learn how to design concurrent Go services with clear goroutine lifecycles, safe channel ownership, bounded fan-out, cancellation, error handling, testing, and production monitoring.
Learn how Go decides whether values live on the stack or heap, how pointer choices affect performance, and how to verify allocation behavior with compiler output and pprof.
Learn how to break a back-end system into practical components, choose storage, add load balancing, caching, queues, partitioning, replication, and real-time communication while making tradeoffs explicit.
Learn how Kafka moves messages from producers into partitioned logs and out to consumers, including batching, acknowledgments, partition keys, offsets, and consumer groups.
Learn how to combine relational databases, key-value stores, NoSQL repositories, and filesystem storage so each Java service uses the right persistence tool.
Learn how NoSQL databases fit distributed systems, how CAP affects consistency and availability, and when document, graph, wide-column, or key value stores make sense.
Learn how key value stores support low-latency access, cache-aside, read-through, write-through, write-behind, write-around, replication, and cache eviction strategies.
