Operations | Monitoring | ITSM | DevOps | Cloud

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.

Modern cloud-native applications and web browsers are highly complex, making it challenging to gain visibility into their performance. Without an effective way to track and measure frontend performance, it becomes difficult to monitor real user experiences, detect critical issues, assess website health, and ensure optimal functionality. But what if you could see exactly what your users are experiencing in real time?

We launched Adaptive Logs last year to help you optimize your log volumes and costs in Grafana Cloud, and we’ve been hard at work ever since making improvements based on your feedback. Over the past couple of months, we’ve delivered several new features to help reduce toil, apply recommendations with precision, and—what we’re most excited about—confidently optimize your log ingestion while still providing peace of mind to your end users!

As any good cook knows, if you want to create a top-notch dish, you have to use the best ingredients. So when the engineering team for Cookidoo — an online platform and app that features more than 80,000 guided recipes for the Thermomix, an all-in-one kitchen small appliance — realized the observability tool they were using to monitor the platform wasn’t delivering what they needed, they decided to switch to Grafana Cloud and OpenTelemetry.