Outcold Solutions - Monitoring Kubernetes, OpenShift and Docker in Splunk

Splunk Application Boilerplate (version 1.0). Developing Splunk Apps with Docker.

We develop applications for Splunk. We develop applications for Splunk that allow you to monitor containerized applications. We develop these applications because we love containers. Of course, we use containers in our development workflow.

Today we are happy to share our development practices with you, the way we use Splunk Image and App Inspect to build our applications.

We are open sourcing two projects:

The benefits of using our Boilerplate app:

  • Splunk is distributed as a Docker Image. If you break something, tear down the environment and create a new one.
  • Splunk can be preconfigured with any possible requirements you might have, which you can define with Splunk configuration files.
  • Support for Splunk Licenses, if you have Splunk Development License.
  • Default configurations allow you to start developing right away.
  • Check our Tips & Tricks section.

And it is easy to get started:

Step 0. Bootstrap your application by following our step-by-step guidance

Step 1. Run Splunk Up to bootstrap your Splunk environment

Splunk Up

Step 2. Run Splunk Logs to wait until Splunk is ready

Splunk Up

Step 3. Run Splunk Web to open your application in Splunk Web

Splunk Up

Read more on GitHub.

Enjoy!


About Outcold Solutions

Outcold Solutions provides solutions for monitoring Kubernetes, OpenShift and Docker clusters in Splunk Enterprise and Splunk Cloud. We offer certified Splunk applications, which give you insights across all container environments. We are helping businesses reduce complexity related to logging and monitoring by providing easy-to-use and easy-to-deploy solutions for Linux and Windows containers. We deliver applications, which help developers monitor their applications and help operators keep their clusters healthy. With the power of Splunk Enterprise and Splunk Cloud, we offer one solution to help you keep all the metrics and logs in one place, allowing you to quickly address complex questions on container performance.