Operations | Monitoring | ITSM | DevOps | Cloud

Cut Costs, Not Visibility. Use S3 for Low-Cost Log Retention and Faster Response.

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.

Reinventing the Incident Responder's Day: Empowering Tier 2 SOC Analysts with Splunk's Agentic SOC Platform

The Tier 2 SOC Analyst or the Incident Responder (often hailed as the "Sherlock Holmes of the network") faces an increasingly complex and relentless digital landscape. In a world where analysts are being overwhelmed by alerts, held back by fragmented, manual tooling and inefficient workflows, incident responders are charged with the critical task of identifying, analyzing, and mitigating security threats.

Splunk Attack Range v5 Demo

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.

Helping Service Providers Build Future-Ready Autonomous Networks

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.

Observability That Works: Understand System Failures and Drive Better Business Outcomes

Modern systems don't fail because engineers lack skills; they fail because teams can't see why systems are failing at all or can’t see why they’re failing fast enough. Often, the problem isn't a lack of tools — it's a lack of clear, connected visibility across data, teams, and systems. This is where observability transforms how organizations operate. It's no longer just about keeping systems running.