Ahorra un 25 % (o incluso más) en tus costes de Kafka | Acepta el reto del ahorro con Kafka de Confluent
As always, we bring you news, updates and recommended content from the hectic world of Apache Kafka® and stream processing.
Sometimes it seems that in Apache Kafka every improvement is preceded by an involved KIP process. This month we’ve merged a great patch that improved the 99% latency of Kafka without requiring user visible changes: https://issues.apache.org/jira/browse/KAFKA-4614. Not only does it make a fast system even faster, the JIRA itself is worthy of study. I wish all JIRAs included this level of research.
Some important improvements do require KIPs. Here is what we’ve seen in active discussions this month:
Notable Blogs and Presentations:
Deploying Apache Kafka at the edge brings significant challenges related to scalability, remote monitoring, and high management costs. Confluent’s enterprise-grade data streaming platform addresses these issues by providing comprehensive features that enhance Kafka’s capabilities, ensuring effici...
The post discusses the Dual-Write Problem in distributed systems, where atomic updates across multiple systems like databases and messaging systems (e.g., Apache Kafka) are challenging, leading to potential inconsistencies. It outlines common anti-patterns that fail to address the issue...