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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.
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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.
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By Ana Ivanov
Part of what makes Cloud Provider Observability in Grafana Cloud really useful is that it gives you prebuilt dashboards and drill-downs for AWS, Azure, and Google Cloud. Out of the box you get service overviews, instance-level views, and quick links to explore your data. However, you might already have dashboards you trust, want a view tailored to your team’s workflow, or need to change which panels show up when you drill into a single instance.
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By Grafana Labs Team
GrafanaCON 2026 kicked off in Barcelona, which is a fitting city to reveal the latest updates in Grafana 13. In 2013, Grafana Labs Co-founder Torkel Ödegaard made the first commit for what would become Grafana while he was on vacation in the Catalan city. "I was traveling here for the Christmas holiday and I got a cold and spent most of the day in bed coding and working on Grafana," said Torkel during the opening keynote of GrafanaCON, our biggest community event of the year.
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By Maurice Rochau
The observability industry has developed great tools for using metrics, logs, traces, and profiles to monitor the cloud native applications that have dominated the last decade of software development. But when it comes to understanding what an AI system is actually doing, we’re often left reading raw conversations, guessing at quality, and reacting too late. And that’s a problem.
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By Yasir Ekinci
Evaluating agents is hard. Verifying observability tasks is harder. Yes, AI agents have gotten dramatically and quantifiably better at coding and tool use, but observability presents a different kind of challenge. In a real incident, the hard part is rarely just writing a query. It's deciding which signal matters, figuring out whether a spike is noise or symptom, correlating metrics with logs and traces, and sometimes making a change in Grafana without breaking the dashboard another engineer depends on.
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By Grafana Labs Team
Who says 13 is unlucky? With the release of Grafana 13, we're giving the community the most streamlined, flexible, and intuitive Grafana experience yet. Unveiled during the opening keynote of GrafanaCON 2026, the latest major release is all about helping you get value from your data faster, whether you’re spinning up dashboards, operating Grafana at scale, or extending the platform as your requirements change. Download Grafana 13.
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By Grafana Labs Team
If you're running Databricks workloads, you've probably asked yourself these types of questions: How much is this costing me? Why did that job fail last night? Why are my dashboard queries suddenly slow? We've been there, too. Databricks is fantastic for data engineering, ML, and analytics. But once you start running jobs, pipelines, and SQL queries at scale, you need a way to keep tabs on what's happening. That's why we built the Databricks integration for Grafana Cloud.
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By Fayzal Ghantiwala
Alerts are meant to help teams respond quickly to problems, but too often they arrive without enough context to be immediately useful. An alert that says “CPU usage is high” still leaves the on-call engineer asking critical follow-up questions: Which service? Which environment? Where do I look next? Validating the alert and triaging the situation is the first step for every engineer. It's a manual step that takes time, extending every potential incident.
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By Joey Tawadrous
When you identify CPU or memory spikes in your services, it’s critical to understand why they’re happening. But switching between tools or crafting complex queries can slow you down when trying to pinpoint a root cause. This is why we’re excited to share that Profiles Drilldown, an application that lets you easily explore profiling data through an intuitive, point-and-click interface (no queries required), is now integrated with Grafana Cloud Knowledge Graph.
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By Grafana
In the April edition of the Kubernetes Monitoring Helm chart office hours, we discuss updates to the version 4.0 release, the upcoming 4.1 feature release, and we discuss the upcoming deprecation of the 1.x and 2.0 versions.
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By Grafana
Here's Senior Software Engineer Vicente Ortega showcasing something he's built: the new k6 Script Authoring mode for Grafana Assistant.
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By Grafana
You can now access Grafana Assistant in self-managed environments! See why the feedback has been so strong.
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By Grafana
Join us live from GrafanaCON 2026 for the Alloy, OpenTelemetry & Instrumentation Community Call! We’re kicking things off with a look at everything happening across Alloy and the OpenTelemetry ecosystem, alongside special guests Ted Young, Mischa Thompson, and Liudmila Molkova. In this session: We take a look back at Alloy’s rapid growth and adoption Explore the introduction of the new OpenTelemetry Engine Dive into fleet management, instrumentation, and onboarding at scale.
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By Grafana
Join us live from GrafanaCON 2026 for the Loki Community Call! We’re kicking things off with a look at everything happening in the Loki ecosystem, alongside special guests Poyzan Taneli, Ben Clive, and Trevor Whitney. In this session: We take a look back over the last year in Loki Explore the brand new “Thor” architecture Dive into what’s coming next for logging at scale From a completely new columnar storage format and Kafka-based ingestion, to a redesigned query engine and improved support for high-cardinality data—Loki is evolving to meet the demands of modern logging.
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By Grafana
Join us live from GrafanaCON 2026 for the Pyroscope Community Call! We’re kicking things off with a look at everything happening in the Pyroscope ecosystem, alongside special guest Alberto Soto. In this session: We take a look back over the last year in Pyroscope What’s new in continuous profiling What’s coming next From multi-language source code integration and symbolization improvements to OpenTelemetry profiles and performance gains, Pyroscope has evolved rapidly over the past year.
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By Grafana
In this video, Fabrizia Rossano and Roberto Jiménez demonstrate Git Sync, a feature that provides you with the power of Git version control right in your Grafana instance. Git Sync enables you to submit changes in your dashboards as pull requests and get them reviewed by your team directly from Grafana or from Git.
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By Grafana
Grafana 13 upgrades visualization suggestions — now the default way to pick a panel type — with grouped options and full previews that help you find the right visualization faster.
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By Grafana
Grafana 13 is here! In this video, we walk through the biggest updates and improvements, from faster ways to build dashboards to new features that make Grafana easier to manage at scale. We cover things like: If you’ve ever struggled with broken dashboards, messy layouts, or just getting started from scratch, this release focuses on making those workflows a lot smoother. This is a TL;DR, so we’re just scratching the surface—but it should give you a solid sense of what’s new and what’s worth checking out.
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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.