Operations | Monitoring | ITSM | DevOps | Cloud

Observability Costs: Tips for More Efficient Data Management

Can you ever get too much data? With modern architectures getting increasingly more complex with hundreds of microservices and containers, data volume grows at an exponential rate, and there’s no pause in sight. In this era of ever-expanding volume of telemetry, it’s nearly impossible to separate valuable data from noise, making things like root cause analysis or alerting needlessly more complicated, while putting pressure on the performance of your stack, your scalability and budget.

Introduction to Private Locations in Splunk Synthetic Monitoring

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.

Troubleshoot microservice-based apps faster with Splunk Observability Cloud

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.

Revolutionize Product Development with Feedback-Driven Customer Advisory Boards

In a rapidly evolving business landscape, understanding and responding to customer needs is not just an advantage — it's a necessity. At Splunk, we've taken a bold step by applying a product manager mindset to our Customer Advisory Board (CAB) program, transforming it into a dynamic platform for both customers and our product teams.

Tiered Observability: How To Prioritize and Mature Observability Investments

You may be surprised that delivering observability is a journey and isn’t about observing everything at once — it’s about driving outcomes like proactive detection, faster troubleshooting, and aligning with business priorities. If you’ve followed this series, you’ve already taken steps to.

State of Observability in Communications and Media

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.

AI Governance in 2025: A Full Perspective on Governance in Artificial Intelligence

In a world where artificial intelligence (AI) is leaping forward — growing at a CAGR of almost 36% from 2024 to 2030 — questions about governance and ethics with the use of AI are surfacing. As humans continue to develop AI systems, it is crucial to establish proper guidelines to ensure powerful technologies like generative AI and adaptive AI are used in a responsible manner.