Splunk® Data Stream Processor

Install and administer the Data Stream Processor

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DSP 1.2.0 is impacted by the CVE-2021-44228 and CVE-2021-45046 security vulnerabilities from Apache Log4j. To fix these vulnerabilities, you must upgrade to DSP 1.2.1-patch02. See Upgrade the Splunk Data Stream Processor from 1.2.0 to 1.2.1-patch02 for upgrade instructions, and Splunk Security Advisory for Apache Log4j (CVE-2021-44228 and CVE-2021-45046) for more information.
This documentation does not apply to the most recent version of DSP. Click here for the latest version.
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Hardware and Software Requirements

The Splunk Data Stream Processor (DSP) officially supports the following hardware and software versions.

Forwarders versions

The Splunk Data Stream Processor officially supports Splunk Forwarders 7.0 to 8.0.5.

Browser versions

The Splunk Data Stream Processor officially supports these browsers:

  • Chrome 77.0 and above
  • Safari (latest)
  • Firefox (latest)
  • Microsoft Edge 12 and above

Operating system versions

The Splunk Data Stream Processor officially supports the following Linux Operating Systems. In all cases, Linux kernel version 3.10.0-1127 or higher is required.

  • Amazon Linux 2
  • Centos: 7.x and 8.0, 8.1, and 8.2
  • Red Hat: 7.x and 8.0, 8.1, and 8.2
  • Ubuntu: 16.04, 18.04

You cannot run the Splunk Data Stream Processor on any operating system with FIPS mode enabled.

Splunk Enterprise versions

The Data Stream Processor officially supports sending data to Splunk Enterprise 7.1.0+ instances hosted on Linux.

Hardware Requirements

Your clustered deployment must have a minimum of three nodes with each node having the following specifications. We recommend having five nodes for high availability.

Hardware Specifications
CPU cores Minimum: 8 physical cores or 16 vCPUs

Recommended: 16 physical cores or 32 vCPUs

CPU architecture x86 (64-bit)
Network speed 10 Gb/s or higher
Memory 64 GB, 128 GB recommended
Storage Enough disk space in /var/lib/gravity to support 24 hours of data retention. 1 TB of storage recommended. This is where Gravity stores containers and state information. You can change where Gravity stores this information at install-time. See the Extract and run the Data Stream Processor installer section on the Install the Data Stream Processor topic for more information.

To reduce the latency of communication between DSP components, all nodes in the DSP cluster should be interconnected via a low-latency network. For example, in cloud deployments, components must be placed in the same region and availability zone. DSP does not support multiple availability zones.

Last modified on 11 March, 2022
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This documentation applies to the following versions of Splunk® Data Stream Processor: 1.1.0, 1.2.0, 1.2.1-patch02


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