Operations | Monitoring | ITSM | DevOps | Cloud

Watch the full episode: MCP vs CLI: Does it even make a difference? Live Laugh Logs ep. 3.

See our latest retrospective and live updates. We're showcasing our new UI and navigation, Qoevry Skills and MCP, Copilot Read/Write Mode and much more! See live all the new features as the infrastructure platform for the agentic era!

You already have every error, trace, log, and replay in Sentry. Now let Seer, our agent debugger, do its thing: use that context to find what broke, why it broke, and how to fix it.

What does enterprise AI look like when the user is no longer human? In this episode of The Intelligent Enterprise, host Tom Stoneman sits down with Ash Ashutosh, CEO of Pinecone and a three-time founder, to explore the next evolution of AI infrastructure: from vector databases built for humans using chatbots, to knowledge engines designed for AI agents that need to understand context, take action, and get work done.

Without constraints, feedback, and clear standards, AI can create complexity faster than teams can manage it.

AI coding tools are in use across regulated industries, producing workable code faster than humans can review. It’s a shift that’s raising difficult questions that haven’t been fully answered yet. What does governance look like when AI agents are writing the code, reviewing each other’s work, and fixing their own findings? How do you prove what code is running and whether it passed your checks? Who’s accountable for change approvals, audits, incidents?

Get an exclusive first look at MetricFire's upcoming MCP (Model Context Protocol) Server and see how we're bringing AI-powered observability to Hosted Graphite. The MetricFire MCP Server gives AI assistants a secure way to interact with your monitoring data through purpose-built tools. Instead of manually searching dashboards and metrics, you can simply ask questions in natural language. Imagine asking.

SquaredUp and Halo teamed up for a live webinar exploring why visibility matters, the reporting challenges many organisations face, and how HaloPSA data can be transformed into engaging dashboards using SquaredUp. We also heard from a customer on how they're using dashboards to manage costs and improve service delivery. Whether your goal is sharper reporting, greater visibility for customers, or a clearer demonstration of the value your services deliver, this session offers practical insights and real-world examples to help you get there.

Grafana Assistant meets AWS CloudWatch! In this video, Staff Software Engineer Ivana Huckova shows how to use Grafana Assistant, the AI agent built into Grafana Cloud, with the Amazon CloudWatch data source. Watch her query CloudWatch metrics and logs in plain language, build dashboards in seconds, and troubleshoot AWS resources — no query syntax required.

An AI agent that can't open a browser is just guessing. Stefan from Checkly shows how giving AI coding agents a real browser via Playwright enables reliable end-to-end test generation and debugging, closing the quality gap created by faster, AI-driven shipping. The session compares Playwright MCP vs the Playwright CLI for agent workflows, showing that thanks to MCP spec changes, lazy tool loading, and skills, the two are now effectively just different interfaces to the same tool, with no real token advantage either way.