Operations | Monitoring | ITSM | DevOps | Cloud

As part of our big tent philosophy at Grafana Labs, we think you should be able to dig into your data and find meaningful insights — wherever that data happens to live. For many of our users, that data lives in Databricks, the open analytics platform for building, deploying, sharing, and maintaining enterprise-grade data, analytics, and AI solutions at scale.

Prometheus is one of the most popular open source monitoring tools due to its powerful flexibility for collecting time series metrics. But raw metrics aren’t always helpful on their own. That’s where Grafana Cloud comes in. By connecting Prometheus to Grafana Cloud, you get rich visualizations, alerts, and dashboards that make your data actionable without having to manage any additional infrastructure.

Moving your existing Grafana instance to Grafana Cloud just got dramatically simpler. Today, we’re excited to announce the general availability of the Grafana Cloud Migration Assistant, a powerful yet intuitive tool designed to streamline your migration journey. Traditionally, migrating from Grafana OSS or Grafana Enterprise to Grafana Cloud required technical expertise with Grafana’s HTTP API or command-line tools like Grizzly.

It’s been a year since we launched Grafana Alloy, our OpenTelemetry Collector distribution with built-in Prometheus pipelines and support for metrics, logs, traces, and profiles. OpenTelemetry is quickly becoming an industry standard for telemetry collection, processing, and delivery, and we’re committed to making Alloy the best possible collector for telemetry data, whether you’re using it with Grafana Cloud or not.

Grafana 12 is here! During the opening keynote of GrafanaCON 2025, we unveiled dozens of new reasons to fall in love with everyone’s favorite dashboarding and visualization tool—especially if your job is to keep teams, services, and, of course, a whole lot of beautiful Grafana dashboards organized. Grafana 12.0: Download now!

GrafanaCON 2025 is in full swing in Seattle, where members of our open source community have gathered to explore the latest updates to Grafana Labs’ OSS projects, share their inspiring use cases, and build lasting connections at our biggest community event yet.

Histograms help you monitor and visualize the distribution of values for key metrics, such as response times or request sizes of a service. They’re frequently used to gain insights into data patterns, anomalies, and trends, making them an important tool for observability.

We continue to evolve Grafana Cloud Synthetic Monitoring to help you simulate even the most complex transactions and user journeys, and proactively monitor the performance of your web applications and APIs. In line with this effort, we’re excited to share that k6 browser checks in Synthetic Monitoring are now generally available.

The Ingress NGINX Controller is a widely used Kubernetes component for managing HTTP and HTTPS traffic routing. While it provides powerful observability through Prometheus metrics, it’s also notorious for generating an excessively high number of time series. The root cause lies in how the controller labels its metrics—tracking requests across multiple dimensions such as ingress name, host, path, status code, and upstream response times.

Endre Sara is a Co-Founder of Causely, where he’s building a causal reasoning platform to continuously assure service reliability and eliminate human troubleshooting. Previously, Endre was VP of Advanced Engineering at Turbonomic and a VP at Goldman Sachs. At Causely, we believe observability tools shouldn’t just collect more data—they should enable you to understand it.