Achieving End-to-End Exactly-Once Semantics in Apache Flink with Apache Kafka
Two-Phase Commit in Flink Sink Operators
Flink achieves exactly-once guarantees for external systems through an implementation of the Two-Phase Commit (2PC) protocol. The core mechanism aligns transaction boundaries with checkpoint barriers. When a sink operator receives the first record of a checkpoint interval or encounters a checkpoint barri ...
Posted on Sat, 13 Jun 2026 17:01:31 +0000 by mj99
Orchestrating Distributed Systems with Apache Zookeeper and Kafka
Overview of Apache Zookeeper
Apache Zookeeper is a high-performance coordination service for distributted applications. It exposes a simple set of primitives—often used to implement higher-level services for synchronization, configuration maintenance, and groups/naming. It is designed to be highly available and reliable, forming the backbone of ...
Posted on Sat, 06 Jun 2026 18:34:36 +0000 by suttercain
From Static Tables to Continuous Streams: The Evolution of Streaming SQL
Modern data architectures are shifting from batch-oriented processing to real-time analysis. In traditional systems, data is stored in static tables and queried at a specific point in time. However, in today’s data-driven landscape, information is generated continuously by sensors, logs, and transactions. To handle this, engineers are moving be ...
Posted on Sun, 24 May 2026 20:00:35 +0000 by firemankurt
Managing Kafka Consumer Offset Commits Manually
Automatic offset advancement in Apache Kafka, while convenient, often compromises data integrity during critical workflows. When the enable.auto.commit configuration is active, the client advances the consumption pointer immediately after polling records, regardless of downstream processing outcomes. This behavior introduces significant risks i ...
Posted on Sun, 10 May 2026 22:41:15 +0000 by Magestic