The Red Hat Ecosystem Catalog is the official source for discovering and learning more about the Red Hat Ecosystem of both Red Hat and certified third-party products and services.
We’re the world’s leading provider of enterprise open source solutions—including Linux, cloud, container, and Kubernetes. We deliver hardened solutions that make it easier for enterprises to work across platforms and environments, from the core datacenter to the network edge.
The following information was extracted from the containerfile and other sources.
Summary | Simplify the Deployment & Management of Splunk Products on Kubernetes |
Description | The Universal Base Image Minimal is a stripped down image that uses microdnf as a package manager. This base image is freely redistributable, but Red Hat only supports Red Hat technologies through subscriptions for Red Hat products. This image is maintained by Red Hat and updated regularly. |
Provider | Splunk |
Maintainer | support@splunk.com |
The following information was extracted from the containerfile and other sources.
Repository name | splunk |
Image version | 2.8.1 |
Architecture | amd64 |
The Splunk Operator for Kubernetes (SOK) makes it easy for Splunk Administrators to deploy and operate Enterprise deployments in a Kubernetes infrastructure. Packaged as a container, it uses the operator pattern to manage Splunk-specific custom resources, following best practices to manage all the underlying Kubernetes objects for you.
Please note that the Splunk Operator is undergoing active development and considered to be an "alpha" quality release. We expect significant modifications will be made prior to its general availability, it is not covered by support, and we strongly discourage using it in production.
COMMUNITY SUPPORTED: Splunk Operator for Kubernetes is an open source product developed by Splunkers with contributions from the community of partners and customers. This unique product will be enhanced, maintained and supported by the community, led by Splunkers with deep subject matter expertise. The primary reason why Splunk is taking this approach is to push product development closer to those that use and depend upon it. This direct connection will help us all be more successful and move at a rapid pace.
Please see the Getting Started Guide for more information.
Community Support & Discussions on Slack channel #splunk-operator
File Issues or Enhancements in GitHub splunk/splunk-operator