Operations | Monitoring | ITSM | DevOps | Cloud

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.

Garbage in, garbage out: Splunk's Steve Flanders on why AI can't fix your bad telemetry

Cortex co-founder and CTO Ganesh Datta sits down with Steve Flanders, who leads AI transformation at Splunk and wrote the book on OpenTelemetry, to talk about why AI acceleration without strong observability foundations creates more problems than it solves.

How to Investigate a Production Incident Using an AI Agent (AppSignal MCP)

An incident has hit your product. I've been there: you're context-switching between hosting, CI/CD, codebase, AppSignal for monitoring, and whatever else your product depends on to minimize downtime and potential losses. You're trying to piece everything together, but it takes a lot of time, and that's something you don't have. AI agents connected to your tooling and your monitoring data via MCP free up that time for you.

Shared context for AI coding agents beats better tooling

The instinct when adopting AI coding agents is to optimize the agent. Compare models, tune prompts, argue about which editor has the better completion, and treat the agent as the thing that determines how fast the team moves. Then the commits go up and the product does not. The team building Upsun Dispatch took a different route, and the result is worth copying. They did not find a better agent.

AI Incident Response: Edwin AI in Slack Finds Root Cause Fast

AI incident response just got faster. Watch how LogicMonitor Edwin AI brings investigation, root cause analysis, and action directly into Slack for ITOps, SRE, DevOps, NOC, and incident response teams. When an incident hits, responders juggle monitoring tools, ITSM systems, dashboards, and documentation to find what they need. Edwin AI brings that context into Slack, so your team can investigate, decide, and act in one place.

Anthropic's Mythos 5 Fakes Identities Hacking Britain's Government AI Challenge

AI agents are now faking identities — and this is the case that proves it. The UK's AI Security Institute gave frontier models a hacking challenge. Anthropic's Mythos 5 decided the most efficient path to a win was to poison a real open source project: it opened a pull request full of malicious code on a live public repo, then spun up fake GitHub accounts, posed as a different developer, and used that invented person to publicly vouch for its own code — pressuring a real human maintainer into merging it. A human reviewer caught the malware and closed the PR.

Why Energy Efficiency Matters in Modern Office Buildings

Commercial office buildings consume massive amounts of electricity daily to keep lights, computers, and climate systems running continuously. Rising utility costs and changing corporate standards push management teams to evaluate baseline energy habits. Cutting unnecessary power usage preserves operational capital and lowers overhead costs. Modernizing office infrastructure creates leaner, more resilient business environments for tenants and owners alike. Addressing structural energy waste improves indoor comfort while shielding properties from fluctuating power rates.

From Data Analytics to AI: The Technology Behind Modern Fraud Detection

A supplier changes its bank details at 3:12 p.m. Three invoices arrive before 5:00, each just below the level requiring senior approval. That evening, an unfamiliar device accesses the payment account. None of those events proves fraud. Together, they form the kind of pattern modern detection systems are built to recognise.

AI and Real-World Evidence: The Growing Role of Intelligent Systems

A modern incident rarely leaves one decisive record. It leaves a data field. A vehicle stores speed and brake input. A phone preserves motion and location signals. Cameras capture visible movement, while cloud platforms log account activity. Artificial intelligence can connect these fragments and build a timeline that a human investigator can test. Machines have not become witnesses. They have become tools for comparing what different systems recorded, exposing conflicts, and showing where the evidence remains incomplete.