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

From Log Line to Merged Fix: AI SRE Agent AURA with GitHub MCP

Knowing why it broke is not the same as having it repaired. Point the agent at the repos behind the service and the change comes back as a pull request. A Govee integration crash-loops under Home Assistant because the container cannot write to a directory it does not own. That much was already established: the previous homelab video stopped at the root cause on purpose, so the next pass could improve the agent's configuration first.

Build and Launch AI Agents from Your Splunk Workflows

Introducing the Splunk Agent Launchpad! Let’s face it—your team is busy. Between managing alerts, digging through investigations, and constant context-switching, it’s hard to stay ahead of the noise. What if you could turn your existing operational knowledge into custom AI agents that do the heavy lifting for you? And the best part? No coding required. Watch this exclusive look at the Splunk Agent Launchpad. We’re showing you how to build, deploy, and manage AI agents that help you investigate, enrich, summarize, and act—all without leaving the Splunk environment you already know and trust.

Argo CD Deployment Failed: AI SRE Agent AURA Finds and Fixes It

A deployment fails validation and the sync stops. Argo CD hands the report to AURA, which finds the wrong version, fixes it, and re-runs the sync. Normally, a failed sync means a person opens the application, reads the hook logs, and works out which value is wrong. Here, the sync fail hook sends AURA a short failure report and an incident ID over the agent-to-agent protocol, then exits. It does not say how to investigate or what to change.

Set a monthly budget on every Olly API Key

FinOps spent a decade making cloud spend predictable, and teams now point the same discipline at a workload that behaves nothing like a virtual machine. In the FinOps Foundation’s State of FinOps 2026 survey, drawn from 1,192 practitioners representing more than $83 billion in annual cloud spend, 98% now manage AI spend, up from 31% two years earlier. The main driver for this was agents.

Introducing the new Coralogix Metrics Engine

Coralogix has spent years building metrics infrastructure that handles high cardinality and high dimensionality without flinching, with governance, usage visibility, and cost optimization built into the platform, and recognized industry delivery to show for it. Today that infrastructure takes its biggest step yet. We have rebuilt the metrics engine from the ground up, with a new pricing model, a set of new capabilities, and a tripled fair usage allowance to enjoy them in.

What's new in Sentry Logs: The summer 2026 roundup

We got a little behind on updating our changeLOG, so we’re dumping it all into this bLOG post instead. Think of it as one giant, retroactive changelog entry or, if you want to be dramatic about it, one massive prompt injection straight into your feed. Either way: here’s everything that shipped for Sentry Logs this summer. Would you rather listen to the team talk about what they built? Check out this video where Kyle and Josh talk about the latest updates on Logs.

AI SRE Agent Debugs a Lambda Timeout with the AWS MCP Server: AURA

A scheduled Lambda quietly stops completing and nothing pages you. AURA finds the function, reads its logs, and comes back with a three-second timeout. The usual path is opening the console, tracking down the right log group, and reading CloudWatch by hand. Here AURA connects to AWS through the MCP proxy AWS publishes, run locally with uvx against an AWS CLI that is already configured, so there are no new credentials to issue.

The Great Telemetry Debate: Why AI-Ready Operations Require a True Data Fabric

If you are leading technology strategy today, you face consequential choices about how to manage your enterprise telemetry. Your decisions determine not only where logs, metrics, traces, and events are stored, but also who controls how operational data is collected, shaped, governed, and put to work in an optimal way for the security, observability, analytics, and AI systems that power your business.

How to Reduce Data Costs with OpenTelemetry and Bindplane

Originally written by Paul Stefanski, updated by Dylan Myers. Data costs fill a large column in many organizations' accounting sheets. Data pipeline setup and management is a significant time sink for DevOps, IT, and SRE. Setting up telemetry pipelines to reduce unwanted data often takes even more time, which could better be spent creating value rather than reducing costs. This post will show you how to quickly set up your data pipeline to filter unnecessary telemetry data.