Operations | Monitoring | ITSM | DevOps | Cloud

Grafana 13.2 release: easier ways to query and explore your data

Grafana 13.2 is here, bringing more improvements to help you and your team explore your data and get to insights faster. Download Grafana 13.2 In this post, we’ll highlight the latest updates to saved queries, a feature that lets teams share, discover, and reuse queries to get to trusted answers faster and help new teammates get up to speed. We’ll also explore how the new View panel sidebar makes exploring busy panels a breeze.

Knowledge Graph as context for LLMs: demonstrating decisive RCA and faster production performance

On the product team here at Grafana Labs, we consider AI agents our users, too. That’s why we set out to test how well agents can debug incidents across the full stack, and how much better they perform with Grafana Cloud’s Knowledge Graph vs. using raw telemetry alone. Our early results are promising. In one real incident we replayed 16 times each way, an agent with Knowledge Graph context found the correct root cause 15 times, compared with just once using raw telemetry alone.

From failed check to real user impact: Pairing Synthetic Monitoring and Frontend Observability in Grafana Cloud

Say you get a support escalation about a page in the app that won’t load. But when you pull up your synthetic checks, they're all green: 100% uptime, probes are passing. Something's not adding up, but which one do you trust? If you’ve run Grafana Cloud Synthetic Monitoring, you’ve been on both sides of this. Sometimes it's the ticket: real users hit a wall on the path but your checks pass cleanly. Other times, it’s the inverse.

When to Use Grafana Assistant vs. MCP vs. GCX: Part 2

When should you reach for Grafana MCP? It’s one of the two “hands” in Grafana’s AI toolkit — and the easy one at that. MCP lets you bring Grafana into the tools you already use, like ChatGPT, Claude, or Cursor, without changing your workflow. No terminal? MCP. Want to stick with your favorite AI tool? MCP. Want easy tool discovery out of the box? MCP. Here’s where it fits, and when to use it — explained by Nicole van der Hoeven.

What's New in Digital Experience Monitoring with Grafana Cloud

Grafana Digital Experience Monitoring (DEM) brings Frontend Observability and Synthetic Monitoring together, so teams can go from symptom to root cause without bouncing between tools. In this video, Bukola, Senior Developer Advocate at Grafana Labs, demos two of the newest DEM features. Session Replay and the integration between Synthetic Monitoring and Frontend Observability.

Visual playback of the user journey: Introducing Session Replay in Grafana Cloud Frontend Observability

Grafana Cloud Frontend Observability helps engineering teams quantify the end user experience by bringing metrics, logs, traces, and user session context to client-side web applications. Teams can monitor application health and performance over time, triage errors, and correlate frontend signals with backend telemetry to investigate issues across the stack.

Grafana Pyroscope: Call Tree, Heat Map, & Adaptive Profiles (August 2026 Community Call)

We will look at some new features: Call Tree, Heat Map, & Adaptive Profiles Can't comment in the chat? You may need to create a channel. Join us live for an introduction to flame graphs. We’ll cover what they are, how to read them, and how to use them to find performance bottlenecks in your applications. Bring your questions! Grafana Cloud is the easiest way to get started with Grafana dashboards, metrics, logs, traces, and profiles. Our forever-free tier includes access to 10k metrics, 50GB logs, 50GB traces and more.

Better context, smarter testing: How to give your AI coding agent direct access to k6 docs

As testing workflows become more AI-assisted, fast access to accurate documentation matters more than ever. Whether you're writing a new load test, troubleshooting an issue, or having an AI agent generate a script for you, you need reliable guidance that keeps pace with the way you work. But most documentation still lives in a browser. Every time you or your agent needs to verify an API or look up a best practice, you're forced to leave your terminal or editor and interrupt your workflow.

How volumetric sampling makes the most of your trace budget in Grafana Cloud

Tracing is one of the richest observability signals, but it's also noisy and susceptible to data bloat. In a busy system, the vast majority of traces describe the same healthy, fast, successful request over and over, so most organizations downsample their traces to cut costs. But that approach has consequences, since the sampling strategy you choose determines whether you get a faithful picture of your whole system, or just a smaller, blurrier copy of your busiest endpoints.