The distributed append-only commit log is the foundational coordination substrate of modern data infrastructure. By treating data as an immutable stream of events ordered by sequential offsets, distributed log systems like Apache Kafka decouple producers from consumers, eliminate random disk bottlenecks, and provide fault-tolerant durable message transport at multi-gigabyte line rates.
This module deconstructs the internal storage and replication mechanics of partitioned event logs: on-disk segment files (.log, sparse .index, and .timeindex), Linux kernel page-cache residency and sendfile() zero-copy DMA transfers, In-Sync Replica (ISR) high-watermark durability rules, leader-epoch truncation safety, and incremental cooperative consumer group rebalancing protocols. You will also quantify the throughput, latency, and durability trade-offs between acks=1 and acks=all (min.insync.replicas) under broker failure scenarios.