Operations | Monitoring | ITSM | DevOps | Cloud

Over the past year, I’ve spent a lot of time talking with engineering and platform teams about how they’re deploying AI agents. The conversations are changing. Six months ago, most were focused on getting agents into production. Now, increasingly, the question is how to secure them once they’re there. It’s a familiar transition. We’ve seen it with containers, Kubernetes, microservices, and cloud infrastructure.

KubeCon + CloudNativeCon North America is in Salt Lake City this week, and Bindplane will be at booth 253. Come say hi! We have four talks and we're bringing a ton of cool updates with us. So many of you were eager to try Bindplane Agent while it was in early access. That changes today. Bindplane Agent is generally available. If you've built pipelines in Bindplane before, you know the drill. Pick a source, pick a destination, add processors in the right order, fill in the settings, roll it out.

The Qovery agent skills now create a free local Kubernetes cluster in Docker when your organization has none, then deploy your project to it. One prompt in Claude Code, Cursor or OpenCode, no cloud account, no credit card. Measured: 4 min 43 s for the cluster, 2 min 40 s to build and deploy a GitHub repository. Romaric founded Qovery to make Kubernetes accessible to every engineering team. He writes about platform strategy, developer experience, and the future of cloud infrastructure.

On November 4, Conductor announced it’s joining Meta. If you run your agents in Conductor, you probably saw the post that morning. I know I saw it when my coworkers started sharing the link in Slack. If Conductor was your main tool, this kind of sucks. You didn’t plan to go shopping for a new one this month, and 2 weeks to get off Cloud is pretty tight, especially if you built scripts around it.

When investigating issues with a Kubernetes service, SREs and platform engineers need to understand what’s happening across its supporting infrastructure. For example, is a process still running? Did it restart? Is the scheduler struggling to place pods? Finding the answers to these questions often requires engineers to search process inventories, examine resource metrics, and query Kubernetes control plane telemetry.

Alert rules are great for the failures you can predict, but they fall short on the ones you can't. With the advent of modern AI, you might think the solution is to swarm your stack with agents that monitor every last detail, but that can quickly lead to astronomical bills. And those are the gaps Watchers fill: catching what alerts miss while keeping costs in control. Generally Available as of ObservabilityCON 2026, Watchers are always-on agents in Grafana Assistant.

We’re happy to announce that you can set up Third party service monitoring from the UptimeRobot API, MCP server and CLI too, and get alerted when a service your product depends on has an outage. Add a provider from your deploy pipeline, ask your AI assistant whether Stripe had an incident last night, or check a provider’s status from your terminal.

Open source website monitoring tools give organizations greater control over how they monitor websites, servers, applications, and infrastructure. They can reduce licensing costs, offer extensive customization, and integrate with existing workflows, but they also require more time to deploy, maintain, and scale than managed alternatives. We’ll compare some of the best open source website monitoring tools available today, from lightweight uptime monitors to enterprise-grade observability platforms.