Confluent Blog

Why should you monitor your Apache Kafka® client applications? Apart from the usual reasons for monitoring any application, such as ensuring uptime SLAs, there are a few specific reasons for

Self-managing a highly scalable distributed system with Apache Kafka® at its core is not an easy feat. That’s why operators prefer tooling such as Confluent Control Center for administering and

Most companies who have adopted event streaming are running multiple Apache Kafka® environments. For example, they may use different Kafka clusters for testing vs. production or for different use cases.

Soon, Apache Kafka® will no longer need ZooKeeper! With KIP-500, Kafka will include its own built-in consensus layer, removing the ZooKeeper dependency altogether. The next big milestone in this effort

This article covers one crucial piece of every distributed system: visibility. At AppsFlyer, we call ourselves metrics obsessed and truly believe that you cannot know what you cannot see. We

Organizations define standards and policies around the usage of data to ensure the following: Data quality: Data streams follow the defined data standards as represented in schemas Data evolvability: Schemas

While preparing for the launch of Confluent Cloud ksqlDB, the ksqlDB Team built a system of metrics and monitoring that enabled insight into the experience of operating ksqlDB, the associated

Many organisations rely on commercial or open source monitoring tools to measure the performance and stability of business-critical applications. AppDynamics, Datadog, and Prometheus are widely used commercial and open source

Most organisations maintain fleets, a collection of vehicles put to use for day-to-day operations. Telcos use a variety of vehicles including cars, vans, and trucks for service, delivery, and maintenance.

Earning customer love is a core value at Confluent, and like all relationships, listening makes the love flourish. When it comes to monitoring, we’ve heard you, and we are pleased