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By Haris Rozajac
Template variables are one of the most used features in Grafana, providing users with a dropdown to turn one dashboard into hundreds: pick a different cluster, region, or service, and every panel updates. For most of Grafana's history, variables had a single home at the top of the dashboard. Each dashboard had one flat list of variables, and that list was shared by every panel on it. But as dashboards grew in size and number, those controls became harder to organize and maintain.
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By Shirley
When an application request slows down, a trace can show a database call. Finding the database query behind it can be tedious, requiring you to switch between traces and database telemetry, as well as match timestamps or query text by hand. In Grafana Cloud, the Database Observability app already provides a window into all of your database telemetry, including query samples, performance history, and explain plan.
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By Bejal Lewis
Many Grafana Cloud customers love what Alloy offers them, but we're also seeing a growing base of users who feel the same way about the OpenTelemetry Collector. We want to make it easy for customers to make the decision that makes the most sense, regardless of their preference.
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By Fabian Stäber
It's no secret that getting started with observability can be much harder than it should be. That's why, at ObservabilityCon 2025, we introduced Instrumentation Hub: a guided, scalable way to roll out observability coverage while still keeping you in control. Today, we’re excited to announce that Instrumentation Hub is now Generally Available in Grafana Cloud.
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By Grafana Labs Team
Grafana 13.3 is here, bringing more consistency and control to how you work across Grafana. Cross-dashboard variables help you manage shared dashboard controls from one place, while Notebooks let you capture and share findings from across Grafana in a single, editable document. You'll also get a first look at Grafana's biggest visual refresh since Grafana 7, along with new ways to guide and refine dashboards built with Grafana Assistant.
Featured Post
Ask anyone where dev ends and ops begins and they'll struggle to draw the line. That's the point of the last decade of DevOps: the two disciplines merged so completely that the boundary stopped mattering. But ask where building ends and understanding begins, and everyone answers instantly. Right after deploy.
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By Sean Porter
When evaluating AI models for observability, generating a plausible query or explanation isn't enough. Teams need to know whether an agent's conclusions are supported by telemetry, whether its changes to dashboards actually work, and whether it can deliver reliable results consistently. This is why we built o11y-bench, Grafana Labs' open benchmark for evaluating AI models on observability and SRE tasks. And today, we're excited to share two updates.
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By Aishlee Kailey
Agents have quickly become part of the tech landscape as organizations embrace AI across their businesses. But embracing agents also means embracing the monitoring best practices that have long been part of engineers' workflows: tracking performance, catching errors, and responding to incidents But it doesn't stop there. Agents also introduce new challenges.
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By Michael Wettick
You're investigating checkout errors when someone asks who's coordinating the incident. Support needs an update, and another responder is looking for the runbook. You stop what you're doing to get everyone pointed in the same direction. They're all reasonable requests, but each one takes your attention away from understanding the problem. Yes, your team has a process for handling incidents, but carrying it out is another job for someone who's already busy.
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By Maurice Rochau
You've just finished a deployment, and though your service is up, you start to notice some requests are getting slower. To address the lag, someone—or, more likely, some group of people on your team—needs to watch the dashboards, decide whether the change matters, investigate what happened, and turn the findings into a fix. At each step you're gathering context—and often explaining that context again to the next person or tool.
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By Grafana
See how Grafana Assistant uses AI to investigate incidents, identify root causes, and help remediate application problems. In this demo, Engineering Manager Ksenia Yadav and Staff Product Manager Maurice Rochau show how AI-powered observability supports the move toward autonomous operations, from detecting problems to generating code fixes and validating their impact in production. Explore how Grafana Assistant uses context from your telemetry, infrastructure, incidents, business data, and code to.
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By Grafana
How does Uber use continuous profiling to improve performance and resource efficiency across several million CPU cores? In this Grafana Cloud case study, Senior Researcher Chris Zhang from Uber’s Frontier Tech Labs explains how the team uses Grafana Cloud Profiles and Grafana Assistant to identify expensive code and scale code optimization across its production systems.
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By Grafana
How do you trace a dropped conversion or a checkout failure to its technical root cause? See how full-stack observability in Grafana Cloud connects business impact to system performance across web and mobile clients, applications, infrastructure, and databases. In this session, Principal Software Engineer Jim Gehrett and Staff Product Manager Sarah Constant demonstrate how to start with a business problem and work backward through the technology stack to investigate its cause.
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By Grafana
We asked some members of the Grafana AI team what AI tool they use every day, and here are the results. This was taken in June 2026, at the AI offsite in Amsterdam, the Netherlands.
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By Grafana
In the October edition of the Kubernetes Monitoring Helm chart office hours, we discuss the version 4.6 release and the upcoming 4.7 feature release, and the next 5.0 major release.
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By Grafana
Announced at ObservabilityCON 2026, Pages is a new feature that gives you custom, interactive visualizations. All you have to do is ask Assistant. Mat Ryer, Sr. Director of AI shares just one example.
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By Grafana
Join us for a Grafana Campfire on the New Text and Table panels. See how the redesigned Text editor lets you write and preview side by side, and how Handlebars templates, value mappings, thresholds and Mermaid diagrams turn your query results into rich, data-driven content. Then we’ll look at Table’s new ad hoc interactions (hide, filter and group, right in the table) and a first look at how Table works with Grafana Assistant.
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By Grafana
Grafana Pages is now in public preview in Grafana Cloud. Tell Assistant what you want it to see , and Pages builds it: a custom visualization, an app, a slide deck, or even a game. Pages are for the moments a dashboard can’t cover, like walking leadership through a launch, starting your day with a view of the services you own, or turning an incident into a story everyone can follow.
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By Grafana
In this episode of the Grafana OTel Community Call, we're joined by Bejal Lewis and Paschalis Tsilias from Grafana Labs to talk about OpAMP, the Open Agent Management Protocol, and what it takes to manage OpenTelemetry Collectors at scale. We'll cover what OpAMP is and why fleet management matters, where the spec stands today (it's still pre-release), and what it was like building production tooling on top of it.
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By Grafana
Join Grafana Labs CEO/Co-founder Raj Dutt, CTO Tom Wilkie, members of the engineering team, and Omar Lopez, Head of Observability for SailPoint, for the kickoff of ObservabilityCON 2026, where they share the latest in AI for observability, observability for AI, and solutions for all.
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Grafana provides a powerful and elegant way to create, explore, and share dashboards and data with your team and the world. Grafana is most commonly used for visualizing time series data for Internet infrastructure and application analytics but many use it in other domains including industrial sensors, home automation, weather, and process control.
Grafana has a robust plugin architecture built for extensibility. Visualize data from more than 40 data sources, including commercial databases and web vendors, and add new graph panels with rich data visualization options. There is built in support for many of the most popular time series data sources. It works with Graphite, Elasticsearch, Cloudwatch, Prometheus, InfluxDB and more.
Grafana Labs is the company behind Grafana, the leading open source software for visualizing time series data. Grafana Labs helps users get the most out of Grafana, enabling them to take control of their unified monitoring and avoid vendor lock in and the spiraling costs of closed solutions.