The ultimate consistency model. Learn how to turn your database into a stream of immutable events.
Traditional databases store the "Current State." Event Sourcing stores the "Log of Changes."
It provides a 100% accurate audit trail. You can reconstruct the state of the system at any point in time by replaying the event log.
The definitive guide to building scalable, reliable distributed systems by Martin Kleppmann.
Real-time data and stream processing by Confluent engineers.
Hands-on Kafka course covering producers, consumers, Kafka Streams, and Connect.
Practical engineering notes
One useful note when a new deep dive is published: system design tradeoffs, Java production lessons, Kafka debugging, database patterns, and AI infrastructure.
Written by
Engineering Manager and backend engineer with 10+ years building distributed systems across fintech, enterprise SaaS, and startups. CodeSprintPro is where I write practical guides on system design, Java, Kafka, databases, AI infrastructure, and production reliability.
Found this useful? Share it:
Bloom Filters: Avoiding the Disk Bottleneck In high-performance databases like Cassandra, RocksDB, and BigTable, the biggest performance killer is unnecessary disk I/O. When you query for a key that doesn't exist, the da…
Cassandra Gotchas: Managing Distributed Scale Cassandra is built for extreme availability, but its "append-only" storage model (LSM-trees) introduces specific behaviors that can catch developers off guard. Here are the m…
Cassandra Internals: Built for Scale Apache Cassandra is a peer-to-peer distributed database designed to handle massive amounts of data across many commodity servers. Its "Masterless" architecture and high write throughp…