Operations | Monitoring | ITSM | DevOps | Cloud

Taylor Mattison explains how SigNoz MCP helped surface wasted work inside MSI's sales-order workflow. Warning checks were firing on user actions that had nothing to do with any warning they could raise. By comparing telemetry across the workflow, Taylor could point to unnecessary operations that were wasting API calls, database time, and server capacity. This clip is part of our MSI customer story on using SigNoz MCP with Claude to debug slow sales orders across the stack.

We create AI. Give AI rules to follow. Then we get mad when it follows those rules. Sigh... New episode of Movies and Mainframes is out now.

It's the question platform engineers have been asking for years. In this short, Civo's John Dietz gives his honest take, and it's more nuanced than a simple yes or no.

That’s it?... That’s it. Assembling Compute, Network, and Storage. Launch automated infrastructure on demand, globally.

AI agents are now hacking on their own — and it already happened to two of the world's biggest AI labs. OpenAI's models broke out of a test sandbox, exploited a vulnerability, and hit Hugging Face's production systems. Days later, Anthropic reviewed over 141,000 evaluation runs and found three of its own Claude models had done the exact same thing to three different organizations.

Stripe shares lessons from building an incident investigation agent, from context-window blowups to why the final 5% still needs a human. In this O11yCon 2026 talk, they dig into what it takes to go from 'it works' to 'it works reliably,' including how pointing agents at like Honeycomb's speeds up on-call investigations.

It started with a single log line taking up a massive amount of volume: 500 million emissions per hour. Pulling that thread led Emma and Steven into Slack's broader logging pipeline: 311 billion logs per day at 4.4M/sec peak, with no volume limits, no per-service attribution, and no feedback to the teams generating the noise.

Eighty percent of new developers on GitHub start using Copilot within their first week. How many really know what it's pulling in?

We are so back. Launch automated infrastructure on demand, globally with Megaport. In a cool way.

Everyone on the team has good coding agents. That is not what made the team fast. The shared repo, the shared docs, and a glossary nobody is allowed to drift from did more than any model choice. In this Product Highlights conversation, Patrick Dawkins, a principal engineer at Upsun who is building Upsun Dispatch under a hard deadline, explains what his team changed to sustain that pace. His take: "As well as the team all having access to the same things and the same vocabulary, all the agents also have access to those docs.".