Kafka Architecture - Core Concepts
Deep dive into Kafka's distributed architecture, topics, partitions, brokers, and core design decisions that enable high-throughput event streaming
Deep dive into Kafka's distributed architecture, topics, partitions, brokers, and core design decisions that enable high-throughput event streaming
Deep dive into Kafka's distributed architecture, topics, partitions, brokers, and core design decisions that enable high-throughput event streaming
Deep dive into Kafka producer internals: thread model, batching, partitioning, serialization, and error handling mechanisms
Deep dive into consumer group coordination, partition assignment strategies, rebalancing protocols, and offset management
Deep dive into time-based and size-based retention policies, log compaction mechanics, and production configuration strategies
Deep dive into Kafka transactions, idempotent producers, exactly-once semantics, and atomic read-process-write patterns
Deep dive into using Kafka for event sourcing and CQRS patterns: event stores, projections, state rebuilding, and architectural patterns