Splunk

Splunk .conf26の発表より - Splunk Observability Cloudが進化し、AI SRE機能がインシデント対応を強力にサポート。Anthropic社のClaudeを搭載したエージェントが、複雑な問題の根本原因を特定し、迅速に自動修復を実行します。AI時代の効率的な運用体制とは。 https://splk.it/4e3tUz9 #splunkconf26

AI is moving fast. The answer isn’t to slam the brakes. It’s to build smarter guardrails. 🚧 At #splunkconf26, John Morgan outlined how enterprises can approach agentic AI responsibly, from limiting what agents can do to observing their actions and starting with high-confidence, low-risk use cases. Dive into the full conversation with Beth Pariseau on TechTarget. https://splk.it/4ybP0Dx

👀 See agent actions. 🔎 Detect what breaks trust. 📊 Prove agent decisions. Unify network telemetry and machine data to trace decisions, verify outputs, and control your costs with Splunk and Cisco. Learn more here: https://splk.it/4AyphqC

“Hold my coffee, I’m building a security tool.” ☕️ With AI coding assistants, security analysts can take the problems they encounter every day and prototype tools to help solve them – without waiting months in an engineering queue. The key? Safe sandboxes, smart governance and humans firmly in the loop. See what that can look like in the SOC: https://splk.it/4iGdmk3

Finding the slowdown is good. Finding the code behind it is better. 🔎 Call Graph Profiling in Splunk APM connects distributed traces with method-level execution, giving operations and development teams more context to zero in on what’s driving application latency. That means a clearer path from spotting a performance problem to getting the right code in front of the right people. See how Call Graph Profiling takes troubleshooting a level deeper on #SplunkBlogs: https://splk.it/4yeAoU7

We get it. The post-#splunkconf26 scaries are real. Good news: You can still catch sessions on demand, including the keynotes, and revisit all the moments worth talking about. Watch now: https://splk.it/3VLoF0G

Today’s “just in case” data could be tomorrow’s missing piece. With Splunk Machine Data Lake and Catalog, organizations can keep more machine data within reach without treating every byte like it needs the fast lane. When the right moment comes, teams can find what matters and put that data to work. Dive into the latest: https://splk.it/47ebzeU #SplunkO11y

Join Cory Minton and Amin Karbasi as they explore how leaders can make these decisions based on business outcomes rather than model preference. They’ll discuss when open models create an advantage, when closed models make more sense, and how organizations can build a flexible AI strategy without sacrificing trust. 

The clock is ticking. ⏰ Vote for Bill Rowan in the 2026 FedScoop 50 Awards and help recognize his impact across the federal technology community. Voting closes tomorrow: https://splk.it/4jlXIKN

Turns out, watching the meter can pay off. 💸 After three months of using Token Meter, one Splunk engineer cut weekly AI coding spend by roughly a third – without sacrificing code quality. Token Meter gives developers a real-time view of what their coding agents are costing, making it easier to spot expensive sessions and adjust how they work. Take a look: https://splk.it/4hl7wSL