The Pulse YARN Optimizer enhances YARN cluster performance by intelligently optimizing memory allocation and CPU utilization across YARN applications.
This enables you to:
- Optimize YARN resource utilization by balancing memory and CPU across all nodes
- Enhance cluster performance by accelerating job execution and reducing processing time
- Increase job concurrency through efficient resource scheduling
- Reduce job queuing delays by preventing NodeManager bottlenecks
- Lower infrastructure costs by maximizing existing capacity
- Automate optimization using real-time monitoring and intelligent algorithms for continuous improvement.
Pulse only supports fingerprinting of Spark and Tez/ Hive applications during YARN optimization.
Before You Begin
Before using the optimizer, ensure that the following components are deployed and enabled:
- YARN Optimizer Service and Alfred Service: required to process, analyze, and store optimization data and application fingerprints.
- YARN Metrics Agent: collects real-time metrics from cluster nodes for optimization analysis.
- Fingerprinting: must be enabled to capture and process application-level performance data.
For detailed steps, see Deploy Yarn Optimizer.
Explore In Detail
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