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The latest News and Information on Log Management, Log Analytics and related technologies.

Mobot levels up: Build incident response playbooks with natural language

We’ve recently shown how Mobot, Sumo Logic’s AI assistant, has evolved from a search assistant into a true thinking partner, introducing natural language to log analysis and monitors. Today, we’re bringing that same conversational reasoning to one of the most powerful parts of the platform: playbooks in Automation Service. Historically, playbook authoring has been a highly manual process that required deep organizational and Sumo Logic platform knowledge.

AI SRE Agent Audits Runbook Coverage and Opens the PRs: AURA

3 a.m., the pager fires, and the runbook describes a service that shipped three versions ago. Ask the agent what the cluster actually has instead. Runbooks go stale because clusters change faster than documentation does. Every deploy, every new service, every renamed alert widens the gap between what is running and what is written down.

Zero To Logs - Getting Graylog Up and Running in Under an Hour Webinar

Getting Graylog up and running does not have to take hours of configuration work. In this session, Graylog Director of Technical Marketing Jeff Darrington walks through a complete installation using Docker Compose, taking you from a blank environment to a fully functioning log management platform with live data ingestion in under an hour.

Zero-Code Instrumentation in Kubernetes Without the Instrumentation CRD

The OpenTelemetry Operator changed how teams approach telemetry collection in Kubernetes. The core appeal of zero-code instrumentation is that you can bring up telemetry inside application containers to collect traces, metrics, and logs without touching your source code or rebuilding your container images. However, if you follow the default OpenTelemetry Operator documentation, you quickly run into a heavy operational prerequisite: the Instrumentation CRD.

AI SRE Agent with Temporal, ClickHouse, and Codex: AURA in a Gated Run

1,133 requests failed on one bad commit. The patch and the regression test are already written by the time anyone is asked to read the exact diff. This demo runs AURA as one step inside a Temporal workflow, alongside Codex. A GET request against a product catalog service goes from success to HTTP 500, and ClickHouse records the version, commit, trace ID, and exact error for every request. By the time AURA investigates, all 1,133 requests on that version have failed.

Only hard work: AI's unexpected burnout risk

On this episode of Masters of Data, we dig into what happens when AI actually delivers on its promise to eliminate busywork, and explore why removing the toil doesn't feel like the win everyone expected. We make the case that repetitive tasks build the intuition, pattern recognition, and muscle memory people need to do the harder work well. Security and engineering leaders rethinking how much triage and busywork to hand off to AI will find plenty to chew on here, especially anyone staring down a task list where every single item feels like the hardest one.

AI Only Your Data Can Build

Your competitive edge isn't the model; it's the data that only you have. Sonal Pardeshi, Head of AI Product at Splunk, explains why teams building on general-purpose models keep arriving at the same generic outcomes, and what changes when agents are grounded in your own machine data and your own governance. AI Toolkit and Agent Launchpad let teams build and run agents against your grounded data.