Operations | Monitoring | ITSM | DevOps | Cloud

Learn how to set up the Cortex MCP in under 5 minutes. The MCP integrates directly into your IDE, giving instant access to Cortex data without leaving your coding environment. It reduces context switching by enabling natural questions about services and teams, and streamlines workflows with real-time data from Cortex, Jira, GitHub, and more.

Manual governance in regulated industries is like steering a ship with last year’s map. Approvals, ticket queues, and after-the-fact evidence collection slow delivery and increase risk. By the time an audit arrives, teams are scrambling to prove they followed the process. Watch Kosli’s Mike join Nathen Harvey at DORA to unpack why this happens — and what continuous, automated governance can do to fix it.

Build an MCP server starting from 0 using Vercel's Next.js template, and ends in generating hot takes in the tone of David Cramer. Scaffold Sentry, add tool calls via Cursor CLI, and setup MCP monitoring with Sentry's new wrapMcpServerWithSentry method.

We just launched MCP server monitoring in beta. You can instrument most server-side JavaScript SDK based MCP servers with one line of instrumentation code within your MCP SDK implementation using: wrapMcpServerWithSentry(McpServer) See details like protocol usage, client usage, traffic, tool usage, and performance across your MCP implementation so you you can get visibility into all the sharp edges that your MCP server has — who’s using it, how it’s working (or not), and get alerted when things break.

Lets be real, who really knows whats happening inside MCP Server? Well, now you can! We've been building our MCP Server for the past few months, and we've taken all the tools that we've used to debug it and turned them into a set of observability tools to help you monitor your MCP servers end to end.

Redundancy isn’t just a buzzword – it’s the design principle keeping modern AI and cloud applications online. In this Uplink episode, Kevin Schlosser, Interconnection Product Manager at NTT Global Data Centers, explains how resilient infrastructure is engineered to expect failure but remain operational. We explore: Diverse entry points and fiber path management AI-driven bandwidth growth: 100G standard, 400G emerging Cooling innovations for intense compute workloads Why providers without their own fiber may offer the most resilient paths.

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How should businesses decide between sticking to an LTS release or moving to a continuous upgrade model? In this episode, we explore the trade-offs, from stability and security to innovation and agility, and why flexibility in your upgrade policy is key to long-term success. We break down when LTS makes sense, when frequent upgrades deliver the most value, and how to balance both to keep your business secure, stable, and ready for what’s next.

The countdown to CriblCon 25 is on and we’re giving you an exclusive first look at the expert insights, innovative solutions, and success stories you’ll see on the big stage. REST collector configuration can be painful, requiring navigating to multiple screens and importing multiple configuration files, but it’s about to get a lot easier. Join Cribl experts to preview how easily you can install and build new packs with new enhancements.

The pace of software delivery in 2025 is unprecedented — cloud-native apps, microservices, and AI-generated code are shipping in days, not months. But one challenge never changes: ensuring reliability and visibility when systems fail. In this video, we explore how the new Grafana AI Assistant brings true, context-aware observability to your stack. Watch as we deploy an open-source Python service with Kafka, Postgres, Kubernetes, and Prometheus then use the AI assistant to instantly generate dashboards, alerts, and reduce un-needed telemetry volume.