Splunk® Enterprise

Workload Management

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About workload management

Workload management is a rule-based framework that lets you allocate compute and memory resources to search, indexing, and other processes in Splunk Enterprise.

With large numbers of searches running concurrently across your deployment, inefficient allocation of system resources can impact search execution, and cause latency, skipped searches, and other performance issues. In some cases, high-priority searches might not have adequate system resources, while trivial searches are allocated too much.

Workload management addresses these issues and helps you optimize resource usage by letting you control the amount of system resources allocated to searches and other processes in Splunk Enterprise.

Workload management lets you:

  • Prioritize resources for critical search workloads.
  • Avoid data-ingestion latency due to heavy search load.
  • Limit resource allocation to low-priority search workloads (such as real-time searches)
  • Monitor searches and apply automated remediation (such as abort a search or throttle resources).

To learn more about workload management, see How workload management works.

For Linux configuration prerequisites, see Set up Linux for workload management.

For workload management configuration instructions, see Configure workload management.

To learn how to allocate resources to searches, see Assign searches to workload pools.

Last modified on 27 November, 2019
How workload management works

This documentation applies to the following versions of Splunk® Enterprise: 8.0.0, 8.0.1, 8.0.2

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