Apache Kafka — producers, consumers, partitioning, and event streaming at scale.
Kafka producer configuration: acks, idempotence, batching, compression, and the tradeoffs that matter for throughput and durability.
When to decompose a monolith, how to define boundaries, and the patterns that work: API gateways, sagas, and event-driven comms.
Kafka vs RabbitMQ vs NATS vs SQS: delivery semantics, ordering, throughput, ops complexity, and a decision framework with Go code.
Reliable event-driven Go beyond connecting to Kafka: handling partial failures, duplicates, and distributed transactions safely.