Operations | Monitoring | ITSM | DevOps | Cloud

OpenTelemetry eBPF Instrumentation (Grafana OTel Community Call #9)

In this episode of the Grafana OTel Community Call, we're exploring OpenTelemetry eBPF Instrumentation (OBI). OpenTelemetry eBPF Instrumentation (OBI) offers a powerful way to instrument applications at the system kernel level, capturing essential “RED metrics” — request rate, error rate, and duration — and network flows without requiring code changes, rebuilds, or redeployments. We will cover the project's architecture, discuss its origins as Grafana Beyla, and look ahead to the roadmap for language and runtime coverage.

How to monitor your Supabase projects: connect Grafana Cloud in one click

As AI agents accelerate software development and spin up applications at scale, visibility into what's happening behind the scenes, including query performance and database health, has never been more important. Gaining that level of insight requires observability that can keep pace.

A new allowlists design for Grafana Cloud IP addresses: What you need to know

If your network restricts inbound or outbound traffic, you likely maintain an allowlist of Grafana Cloud IP addresses so your systems and Grafana Cloud can talk to each other. Today we're introducing a new allowlists design: a single, structured API that replaces the collection of per-product lists we've published until now. If you don't use IP allowlisting—or you connect to Grafana Cloud over private connectivity such as AWS PrivateLink—nothing changes for you, and no action is needed.

Cost attribution in Grafana Cloud: Manage spend across observability and testing workflows

Knowing what you're spending on observability is useful. Knowing which team, service, or project is driving that spend is what actually lets you act on that information. Cost attribution is a core part of how Grafana Cloud approaches cost management and optimization.

Beyond performance monitoring: Understand the user experience with Grafana Cloud Frontend Observability

You've optimized your Largest Contentful Paint. Your Time to First Byte is under 200ms. Your Lighthouse scores are green. And yet, your checkout conversion rate is quietly dropping. A segment of users in Southeast Asia is churning. Your support team is fielding tickets about a form that "just doesn't work" and you have no idea which one. Traditional frontend performance monitoring tells you whether your application is fast. It doesn't tell you whether people are actually succeeding when using it.

How to use Grafana Assistant with the AWS CloudWatch data source

Grafana Assistant meets AWS CloudWatch! In this video, Staff Software Engineer Ivana Huckova shows how to use Grafana Assistant, the AI agent built into Grafana Cloud, with the Amazon CloudWatch data source. Watch her query CloudWatch metrics and logs in plain language, build dashboards in seconds, and troubleshoot AWS resources — no query syntax required.

Grafana Labs named a Leader again in the 2026 Gartner Magic Quadrant for Observability Platforms

We’re delighted to share that Grafana Labs has been named a Leader in the Gartner Magic Quadrant for Observability Platforms for the third consecutive year. Notably, we’re also positioned furthest in “Completeness of Vision” for the second year in a row.

Stop switching tools to find answers: Grafana Assistant now works across 30+ data sources

When you're the on-call engineer and something breaks, you can quickly find yourself deep in a series of tools you don't regularly use—switching tabs, copying query results, and manually stitching together a picture of what's happening and why. People are increasingly turning to AI to get around this, but the results can be a mixed bag.

Building an end-to-end reliability testing strategy with Grafana Cloud

Modern applications can fail in many different ways, from performance regressions and frontend errors to systems that break under heavy load. Because no single testing or monitoring approach can catch every type of failure, effective reliability testing requires multiple layers that validate your application before, during, and after their release.

The AI Software Engineering Revolution, feat. Anthropic | Big Tent S3E9

In this episode of Grafana's Big Tent, hosts Mat Ryer (Senior Director of AI, Grafana Labs) and Tom Wilkie (CTO, Grafana Labs) sit down with Eric Burns, Field Executive Architect at Anthropic, to talk about building trust between tech and business execs, why Anthropic bet early on running across every major cloud, and what it was like watching large language models go from "interesting" to "obviously the future" in real time.