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 to turn Go's functions, structs, methods, interfaces, control flow, loops, and error values into clear service behavior that is easy to test and maintain.
Learn how to use Go's primitive types, variables, constants, pointers, operators, slices, maps, and conversions to write clearer and more memory-aware production code.
Learn how to evaluate Go against Java for enterprise services across interfaces, builds, deployment, concurrency, testing, memory behavior, dependencies, and team readability.
Learn how to connect PHP to a MySQL database, run database commands safely from one place, render returned rows as an HTML table, and inspect command results with mysqli helper functions.
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.