Operations | Monitoring | ITSM | DevOps | Cloud

For every $1 you pay OpenAI or Anthropic, it's costing them about $1.60. AI is running at a loss — so is the whole business model broken? The full bill for AI hasn't landed yet. In this ShipTalk short, Field CTOs Adam and Martin break down the economics of generative AI: why the frontier labs lose money on every prompt, why they'd need to raise prices ~60% just to break even, and the bet the entire industry is making — that inference costs drop fast enough to catch up. Plus the Gartner forecast every CFO should see: by 2028, the AI bill could be bigger than the employment bill.

New enhancements to SRE Agent power faster triage, greater access controls, and more connectivity into existing systems. Watch this demo to learn more about them: SRE Agent on Escalation Policies (EA), Recommended Workflows (GA), Agent Connectors and Tools (GA) and PagerDuty Advance team-level permissions (GA).

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.

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.