News, guides, and engineering deep dives.
Practical guidance on Kafka, Flink, Iceberg, and real-time data.
Kafka message size best practice
How large should Kafka messages be in production? Covers sizing tiers, the four-config chain, compression codecs, and patterns for handling payloads above 1 MB.
Kafka partition key best practices
How Kafka partition keys work, what makes a good key, and practical guidance on cardinality, hot partitions, compaction, cross-language hashing, and safe key migration.
Kafka cluster management: a practical guide
A practical guide to Kafka cluster management: architecture sizing, day-to-day operations, performance tuning, KRaft migration, and monitoring for production clusters.
Kafka topic partition best practices
Size Kafka topic partitions correctly from day one. Covers the throughput formula, the keyed topic asymmetry, KRaft-era limits, and operational best practices.
The complete guide to Kafka change data capture
Learn how to implement change data capture with Kafka using Debezium. Includes working PostgreSQL CDC examples, architecture patterns, and monitoring.
Enhanced URP detection in Kpow
Kpow now offers enhanced under-replicated partition detection for accurate Kafka health monitoring. The improved calculation identifies URPs even when brokers are offline, aiding fault tolerance.
Kafka consumer lag: how to find the cause and monitor it
Learn what Kafka consumer lag is, why it occurs, and how to monitor it using built-in tools, custom solutions, and Kafka monitoring platforms.
Integrate Kpow with WarpStream
Integrate Kpow with WarpStream in minutes. Gain unified visibility and control over your BYOC Kafka data plane and Schema Registry in the Kpow UI.
Introduction to Factor House Local
Factor House Local offers pre-configured Docker environments for Kafka, Flink, Spark, and Iceberg with Kpow and Flex, plus hands-on labs for building a Kafka client through to a full data lakehouse.