Operations | Monitoring | ITSM | DevOps | Cloud

We intentionally introduced a bug into our app to see what would happen. The agent used the CircleCI MCP Server to detect the failed pipeline, diagnose the issue from the build logs, implement a fix, and keep iterating until CI was green.

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.

In July’s This Month in Datadog, Jeremy is joined by Datadog product leaders for in-depth conversations about how Bits enables you to confidently evaluate and release features containing AI-generated code, and use natural language to ask, understand, and act across Datadog.