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 and above.

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

DSP will generally work on newer versions of Linux Operating Systems, but it is only officially tested on the OS versions available at the time of release. Any exceptions will be listed in the Known Issues.

DSP has been tested and validated on the following OS versions. In all cases, Linux kernel version 3.10.0-1127 or higher is required.

• Amazon Linux 2
• Centos: 7
  • Centos 8 has reached end of life on December 31st, 2021. See CentOS Linux EOL for more information.
• Red Hat: 7 and 8
• Ubuntu: 18.04 LTS

Before you choose which operating system to install the Splunk Data Stream Processor on, review the Known Issues page. Some operating systems have known issues and might require workarounds to install and administer the Splunk Data Stream Processor successfully.

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 higher 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/k0s to support 24 hours of data retention. 1 TB of storage recommended. This is where k0s stores containers and state information. See the Extract and run the Splunk Data Stream Processor installer section on the Install the Splunk Data Stream Processor topic for more information.
Storage type	The Splunk Data Stream Processor requires low latency storage. You should install the Splunk Data Stream Processor on SSDs. Additionally, each controller node that the Splunk Data Stream Processor is installed on must provide at least 10 sequential write IOPS, although at least 50 is recommended.

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.