Operations | Monitoring | ITSM | DevOps | Cloud

In this tutorial, we’ll demonstrate how to create and use private locations in Splunk Synthetic Monitoring to test internal or pre-production applications within a Kubernetes environment. You'll learn exactly what private locations and private runners are, common use cases, and step-by-step instructions on how to deploy a private runner using Helm. Finally, you'll see how to set up a simple browser test to run synthetics against a service available only within a Kubernetes cluster.

When something goes wrong with your microservice-based apps, Splunk Observability Cloud offers a unified Observability platform to make debugging processes easier and faster. By using features like the Service Map to identify the cause of the error and Related Logs in Log Observer to pinpoint its location, you can get back up and running quickly, limiting the impact to your bottom line and keeping your customers happy.

We surveyed ITOps and engineering professionals worldwide to learn how communications and media organizations build leading observability practices. In our webinar, “The State of Observability in Communications and Media,” we explore three priorities for today’s organizations — and what it takes to claim your spot on the observability leaderboard. Join us to discuss the implications of insights including.

Learn and write SPL faster with the Splunk AI Assistant for SPL. New to SPL? Have users who are new to SPL? No problem! Check out the video to learn how you can leverage the power of generative AI to easily write and explain SPL queries using natural language.