Operations | Monitoring | ITSM | DevOps | Cloud

How we investigate Sentry errors with an AI agent

We built an AI agent on Qovery to investigate Sentry alerts before our team picks them up. Here’s how the workflow runs, what it delivers, and where engineers still need to step in. Rémi is a staff frontend engineer at Qovery. He writes about frontend architecture, developer experience, and building scalable UI systems for platform engineering tools.

Building AI SRE Agents, Part 3: Autonomous in the Cloud

Your agent has earned trust in shadow mode. Now it runs on its own: an alert fires, the agent starts, investigates and proposes a fix before anyone opens a laptop. Here is what it takes to make that safe, scalable and better every week. This is the third article in a series on taking an AI SRE agent from a weekend experiment to production. Part 1 built a local, read-only agent on a throwaway cluster and refined it against a synthetic eval set.

We Stuck Minecraft on a Kubernetes Cluster and Observed it with Open Source

Why did we do this? Not important: jump to 1:31 to see the Pis. TL;DR: We stuck Minecraft on kubernetes running on 4 Raspberry Pis in a 3D-Printed case, and monitored it with open source observability. Huge thanks to Percona DBA Ivan Zaitsev for putting the demo together for Percona University, Montevideo. Coroot automatically collects and visualizes all your telemetry data: logs, metrics, traces, profiles, and a complete map of your services. With the complete context of eBPF, it can diagnose the exact cause of an incident in seconds, and show you the exact commands to fix it.

Context Engineering for AI Agents: What to Feed an Agent and What to Leave Out

Picture a Monday at 03:10 UTC. An agent investigating an out-of-memory alert on payment-service works out the pattern: it runs out of memory every Monday between 03:00 and 04:00, and the spike lines up with the batch reconciliation job. The next Monday the alert fires again. A different agent picks it up and starts from zero, because nothing it can see holds what the first one learned.

18: Building an Agentic Future: AI and Optimization with Sachin Gharge

On today's episode, Andrew Hillier chats with Sachin Gharge, Head of Cloud Platform at Scandinavian Airlines (SAS). They discuss AI, agents, Kubernetes, MCP, and optimization. Sachin shares how he and his team are optimizing cloud costs, leveraging automation, and experimenting with agentic AI, including bots and Slack integrations, to make operations easier and more effective for developers and the business.

Why We Built the Komodor Agentic Operations Platform: Q&A with CEO Ben Ofiri

Komodor spent years building an AI SRE platform before the category had a name. With the launch of the Komodor Agentic Operations Platform, it’s opening that engine up so enterprises can build, run, govern and optimize their own agents in production. Following the launch, co-founder and CEO Ben Ofiri sat down to talk about why now is the right time for agentic operations, what breaks between prototype and production, and where operations will head next.

HIPAA Wasn't Written for AI Agents. It Applies to Them Anyway

In short, healthcare is adopting AI agents faster than almost any other industry. More than 85% of Epic’s customers already use Epic AI, Epic’s Agent Factory will let every health system build agents of its own from 2027, and 43% of health systems were piloting agentic AI at the start of this year.

Cycle's Hosted MCP Release Announcement

We are stoked to announce that we have released our very own hosted MCP that allows you to use natural language to interact with and control anything you have running on Cycle.io. Alexander Mattoni, CTO and co-founder of Cycle, shares a few scenarios where the MCP can be useful. With the MCP, Cycle users can communicate with the Cycle platform directly from their preferred AI tool. In minutes, users can provision a new server, deploy an application, or troubleshoot an issue directly from their AI assistant like Claude, Claude Code, ChatGPT or Codex.

The new Civo dashboard is in beta: Try it today

First previewed on stage at Civo Navigate London, the new Civo dashboard is now in beta, and getting to it just got a lot easier. Starting today, you'll see a Try it now banner at the top of your current dashboard at dashboard.civo.com. Click it to head to the new dashboard, sign in with your usual Civo account details, and you're in. You can also go directly to dashboard-manager.civo.com. Look for the Try it now banner in your current dashboard.

AI Tooling Comes to Cycle - Announcing Cycle's Hosted MCP

TL;DR - We made a way to use Cycle with AI models for doing things like deploying applications faster and diagnosing complex issues. If you'd like to get started right away with Cycle's Hosted MCP, check out our documentation. Today, we're launching a brand new way to interface with the Cycle Platform, that just a year or two ago would have felt entirely like science fiction. Our first ever AI-oriented tooling, Cycle's Hosted MCP, is live today.