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Amazon Managed Streaming for Kafka (MSK) is an AWS service that helps build and run applications built on Apache Kafka. Kafka is a platform designed to handle continuous streams of small records or events generated from a large number of devices and applications.
In order to ensure your Kafka environment is running efficiently, it is important to adequately monitor it at both the cluster and broker level. This helps you identify performance bottlenecks, determine when it is necessary to scale your applications, and prove that they are successfully streaming messages through Kafka at low latency.
We expanded our monitoring coverage to include support for AWS MSK, and provide two DataSources to collect and alert on broker and cluster metrics. After adding your AWS environment and enabling the new services, import our newest DataSources to begin monitoring. Clusters and brokers will be automatically discovered and grouped together for easier management.
Additionally, both clusters and brokers will receive useful auto-properties such as broker identifier, node type, and Kafka version.
Using the Cloudwatch API, LogicMonitor polls directly from AWS and begins populating useful Kafka datapoints, such as controller count, partition count, disk used, and network traffic. Default alert thresholds provide advanced notification when potential issues are detected. As a best practice, we recommend keeping tabs on the following:
With LogicMonitor’s AWS MSK monitoring, you can collect, visualize, and alert on data from your cloud Kafka infrastructure alongside the rest of your hybrid infrastructure within a single pane of glass. Sign up for a free trial today!
Tim Guzman is an employee at LogicMonitor. Subscribe to our LogicBlog to stay updated on the latest developments from LogicMonitor and get notified about blog posts from our world-class team of IT experts and engineers, as well as our leadership team with in-depth knowledge and decades of collective experience in delivering a product IT professionals love.
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