New York, NY, USA
2014
  |  By Beverly Buchanan
Kubernetes Monitoring in Grafana Cloud comes out of the box with preconfigured alert rules that notify you about issues like CPU throttling, crash-looping pods, and nodes going offline. These rules are installed automatically when you set up the app, and they start evaluating immediately. But if you've recently reinstalled the Kubernetes Monitoring app and your alert notifications stopped arriving, or started looking different, you're not alone.
  |  By Kevin Minutti
The ability to schedule regular tasks, such as cron jobs, has been around for decades. So why are we still running the same AI prompts by hand every day? As you use Grafana Assistant, our AI-powered observability agent, to stay on top of the state of your system, you likely find yourself asking the same questions. Maybe you want to know what changed overnight, or whether yesterday's deployment hurt latency, or which dashboards or skills are drifting out of date.
  |  By Vicente Ortega Torres
Performance testing is critical to ensure your applications stay reliable under load, but writing the scripts themselves often feels like a chore. Most engineers already know the scenario they want to test; the hard part is translating that intent into a working performance test. Even experienced developers who use k6 can lose time looking up syntax, configuring load stages and thresholds, or debugging boilerplate code before they can run a meaningful test.
  |  By David Allen
Note: This post originally published in October 2023 and was updated in May 2026 to include new methods and options for embedding Grafana dashboards. Grafana dashboards are powerful and flexible tools for observing applications and infrastructure, so it’s no surprise we get a lot of questions from the community about how to embed them into their web applications.
  |  By Théo Crevon
For years, teams have relied on k6 to take a more proactive approach to performance testing, ensuring they can catch issues early and deliver more reliable user experiences. That approach has helped make k6 one of the most widely used performance testing tools in the open source community today, with more than 30k stars on GitHub. Last year, we introduced k6 1.0, a major release that brought TypeScript support, native extensions, revamped test insights, and production-grade stability guarantees.
  |  By Steven Dungan
Most platform and observability teams have logs they know are noise. These could be throwaway health check logs, forgotten DEBUG logs, or verbose INFO logs from little used services that only serve to inflate your bill. Regardless of what they contain and why they're there in the first place, the hard part is getting rid of them. Centralized teams want to easily and quickly prevent these logs from being ingested, without having to work with toilsome infrastructure change management to do so.
  |  By Jeremy Heller
So your database is slow. Now what? Grafana Cloud Database Observability already gives you visibility into your SQL queries with RED metrics, individual execution samples, wait event breakdowns, table schemas, and visual explain plans. But visibility is just the starting point. You can see that a query's P99 latency spiked, but what should you do about it? You can see wait events like wait/synch/mutex/innodb firing, but what does that actually mean?
  |  By William Dumont
When an unexpected alert fires these days, most engineers' first move is to ask their AI assistant for help.You ask why your checkout service is slow and the assistant gets to work, but it can't get any meaningful insights—at least not quickly—without the proper guidance. So, the next thing you know you're sharing deals about your existing data sources, the services you have running, how they connect, which labels and metrics matter, and on and on.
  |  By Facundo Batista
To simulate real user behavior, performance tests often rely on API keys, tokens, or credentials to interact with real systems. But as your testing suite grows, this sensitive data can start to sprawl across scripts, configs, and environments, increasing the risk of exposure and making tests harder to manage and maintain. To address this challenge, we’re rolling out secrets management for Grafana Cloud k6, the fully managed performance testing platform powered by k6 OSS.
  |  By Ward Bekker
The way you write code is changing, which means the way you observe your systems and respond to issues needs to change, too. Engineers today spend much of their day working via command line, as agentic tools like Cursor and Claude Code have become highly effective at handling many day-to-day engineering tasks. This greatly accelerates code generation, but it doesn't solve for the context switching that comes when you have to jump into another tool that's not part of this new, faster workflow.
  |  By Grafana
AI agents are only as useful as the context they can access. With gcx, your coding agents can connect to Grafana and query real-time production telemetry from your Cloud, Enterprise, or OSS environment. The best part: it avoids the upfront context bloat that can come with loading tools before you even send a prompt. gcx uses a CLI approach, so there’s zero token cost until your agent actually needs to run a query.
  |  By Grafana
When a compromised GitHub Actions workflow targets your CI/CD pipeline, how do you respond — and what do you change so it never happens again? Nick and David from Grafana Security walk through a real supply chain incident triggered by a pull_request_target misconfiguration, showing exactly what broke, what tools caught it, and what the team rebuilt afterward.
  |  By Grafana
This is an excerpt from a real AI team weekly meeting where we talk about the stuff we build and occasionally also demo them! In this one, Principal Software Engineer Sven Großmann shows a new feature he's working on for AI Observability, called "guards". We're showing parts of our team meetings to build in public in some small way and give you a sneak preview of what's to come. But not all features we show may make it to production! You've been warned. :)
  |  By Grafana
Senior Developer Advocate Nicole van der Hoeven demonstrates how to go from zero to dashboard in a few minutes without using any queries, with the help of Grafana Assistant and the infinity datasource plugin for Grafana. Nicole is using the rawg.io video game database API to visualize games and get recommendations for what to play next!
  |  By Grafana
This is an excerpt from a real AI team weekly meeting where we talk about the stuff we build and occasionally also demo them! In this one, Staff Product Design Engineer Ben Darlow demos improvements to Workspace Home. Staff Software Engineer Sonia Aguilar and Principal Software Engineer Sven Großmann also demo a new dependency graph view for Investigations. We're showing parts of our team meetings to build in public in some small way and give you a sneak preview of what's to come. But not all features we show may make it to production! You've been warned. :)
  |  By Grafana
You just need a free Grafana Cloud account. It's generous and free forever. Thanks for watching! Was this video helpful?
  |  By Grafana
Note: We're happy to share that since the recording of this video, OpenTelemetry *has* graduated from the CNCF! SREs, developers, and CTOs say open source is essential to observability. Engineering managers and directors? Not so much. Grafana's 4th annual observability survey — 1,363 responses — reveals a split inside the same orgs that's worth a conversation.
  |  By Grafana
Shawn Pitts demos how you can use Grafana Assistant inside Claude Code to get an analysis and code recommendation to fix an issue.
  |  By Grafana
The way you write code is changing, which means the way you observe your systems and respond to issues needs to change, too. Engineers today spend much of their day working via command line, as agentic tools like Cursor and Claude Code have become highly effective at handling many day-to-day engineering tasks. This greatly accelerates code generation, but it doesn't solve for the context switching that comes when you have to jump into another tool that's not part of this new, faster workflow.
  |  By Grafana
In this Community call, we'll be discussing recent K6 updates. From new secrets management feature to Grafana AI assistant integration with K6. Hosts: Bukola Ayodele, Nicole van der Hoeven Experts: Facundo Batista Vicente Ortega Torres.

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.