Operations | Monitoring | ITSM | DevOps | Cloud

In this technical session, discover how Splunk Database Monitoring detects slow queries, speeds root cause analysis, and drives faster fixes with AI assistance. You will learn how to.

Why pay for continuous ingestion of data you rarely use? Learn how to maintain a lean data strategy by keeping long-term logs in cheap S3 storage, while retaining the power to "promote" specific slices into Splunk whenever an audit or investigation arises. See how Promote for Amazon S3 gives you the speed of local indexing without sacrificing speed in investigations.

Discover why real-time, unsampled observability is critical for Kubernetes environments with Stephane Estevez from Splunk at KubeCon Europe 2026. Learn how Splunk’s unique approach helps you catch every important moment—even when containers vanish in milliseconds. Watch now for expert insights on cloud-native monitoring, observability, and Kubernetes best practices!

I built a simple web application with an agentic IDE to demonstrate why vibe coding is often just a high-speed technical debt generator. We'll look at how AI agents make architectural assumptions that create brittle foundations for your code.

The Splunk Attack Range is an open source project that lets security teams spin up instrumented cloud environments, simulate adversary behavior, and use the generated telemetry to build and test detections in Splunk. Whether you are a detection engineer tuning rules, a purple team validating coverage, or a developer automating tests, Attack Range gives you a repeatable, cloud-based lab. This post highlights what Attack Range does, how it works, and how to get started - whether you prefer a web UI, a REST API, or the command line.

In this session, we’ll show how MCP empowers autonomous AI agents to retrieve, process, and share live data anywhere it’s needed — breaking barriers and accelerating insight across your organization.

Learn how autonomous agents are using real-time observability telemetry data to diagnose, fix and verify their own work.

As network complexity scales, Splunk empowers service providers to transition toward autonomous networking by integrating automated monitoring with AI-driven root-cause analysis. By shifting from reactive troubleshooting to proactive, automated remediation, providers can resolve issues before they impact the user experience. This evolution ensures seamless digital connectivity while simultaneously reducing customer churn and the high costs of manual network maintenance.

Cut down on noisy telemetry data and move toward high signal density.

Decide on your migration strategy, optimize and move your data sources, searches, users, apps and knowledge objects to the Splunk Cloud Platform.