How To Easily Monitor Your Kafka Deployment Apache kafka operators need to provide guarantees to the business that kafka is working properly and they need to identify and triage problems in order to solve them before it affects end users. as a result, monitoring your kafka deployments is an operational must have. Monitor kafka easily with grafana. easily monitor your deployment of kafka, the popular open source distributed event streaming platform, with grafana cloud’s out of the box monitoring solution. the grafana cloud forever free tier includes 3 users and up to 10k metrics series to support your monitoring needs.
How To Easily Monitor Your Kafka Deployment Kafka is an open source distributed streaming platform written in java and scala, and designed for high throughput and scalable data streaming and processing. it provides a queueing and publish subscribe system for real time processing and storage of record streams. the data is organized into topics, and producers publish messages to these topics. Here are ten specific tips to help keep your kafka deployment optimized and more easily managed: set log configuration parameters to keep logs manageable. know kafka’s (low) hardware. A properly functioning kafka cluster can handle a significant amount of data. it’s important to monitor the health of your kafka deployment to maintain reliable performance from the applications that depend on it. kafka metrics can be broken down into three categories: kafka server (broker) metrics. producer metrics. The best way to backup a kafka cluster is to setup a second cluster and replicate events between topics in the cluster. depending on your setup and requirements, the backup cluster may be in the same data center or in a remote one. see the section on overview of multi datacenter deployment solutions on confluent platform for more details.
Comments are closed.