Hadoop performance monitoring
Easily find key performance metrics about your Hadoop cluster
Analyze your Hadoop components
Dynatrace auto-detects your Hadoop components and shows key metrics and a timeline chart specific to each component.
Get enhanced insights for HDFS and MapReduce
Dynatrace shows you Hadoop-specific metrics, providing you both current and historical data.
Pinpoint problems at the code level
Dynatrace directly pinpoints components that are causing problems with big data analytics of billions of dependencies within your application stack.
Enable Hadoop monitoring globally
Dynatrace's Hadoop server monitoring provides a high-level overview of the main Hadoop components within your cluster.
Hadoop-specific metrics are presented alongside all infrastructure measurements, providing you with in-depth Hadoop performance analysis of both current and historical data. See enhanced insights for metrics like HDFS and MapReduce.
With Hadoop monitoring enabled globally, Dynatrace automatically collects Hadoop metrics whenever a new host running Hadoop is detected in your environment.
Start monitoring your Hadoop components in under 5 minutes!
In under five minutes, Dynatrace detects your Hadoop processes and shows metrics like CPU, connectivity, retransmissions, suspension rate and garbage collection time.
- Manual configuration of your monitoring setup is no longer necessary.
- Auto-detection starts monitoring new hosts running Hadoop.
Enhanced HDFS insights at a glance
Cluster charts and metrics show you key performance data about your Hadoop processes. Hadoop NameNode pages provide details about your HDFS capacity, usage, blocks, cache, files, and data-node health.
For the full list of the provided NameNode and DataNode metrics please visit our detailed blog post about Hadoop monitoring.
Get further in-depth Hadoop process metrics
Dynatrace provides relevant performance metrics about the following Hadoop processes:
For the full list of the provided metrics please visit our detailed blog post about Hadoop monitoring.
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