Operations | Monitoring | ITSM | DevOps | Cloud

Solutions to hands on exercises | Grafana Alloy for Beginners Ep 14

In this episode, Lisa Jung and Mischa Thompson reveal the solutions to all four hands-on missions, showing how Alloy can collect, process, and secure telemetry data with precision and style. From uncovering hidden keys to securing sensitive data this episode puts Grafana Alloy’s problem-solving skills to the test. This repo is a great resource for learning about the Grafana stack end to end, so check it out if you'd like a full end-to-end working example!

Hands on Exercises Overview | Grafana Alloy for Beginners Episode 13

The moment to test your mad Alloy skills is here! Join Lisa Jung and Mischa Thompson from Grafana Labs for an overview of the four hands-on exercises and see how much you’ve learned throughout the series. This hands-on exercise section consists of four missions: The Hidden Key The Cardinality Crisis Attribute Alignment Redact and Protect Your mission, should you choose to accept it, awaits you in the Mission section of the series repo.

Grafana Mimir 3.0 release: performance improvements, a new query engine, and more

In 2022, we introduced Grafana Mimir, our open source, horizontally scalable, multi-tenant time series database (TSDB) designed for long-term storage of Prometheus and OpenTelemetry metrics. Over the years, Mimir has become a go-to metrics backend within the open source community, with 30 project maintainers and more than 4.7k GitHub stars.

SQL expressions in Grafana: Combine and manipulate data from multiple sources

One of Grafana’s greatest strengths is its ability to provide a consistent monitoring experience for all your data sources. But not everyone wants to go through the process of transforming that data and setting up a data warehouse to make that happen, especially for complex analyses.

Prometheus native histograms in Grafana Cloud: Get more precision from your Grafana visualizations

In May, we announced the public preview of Prometheus native histograms in Grafana Cloud, unlocking greater precision, ease of use, and compatibility for analyzing latency, duration, and other distributions. Since then, we’ve seen incredible adoption across industries—from financial services companies to e-commerce platforms. Last week, during PromCon EU 2025, the Prometheus developers announced that native histograms are now stable, after three years of intense testing and improvements.

How to Monitor Kubernetes With Grafana OSS or Grafana Cloud | Ask the Experts | Grafana Labs

Wondering how to monitor Kubernetes with Grafana? In this “Ask the Experts” episode, Coleman walks through the easiest setup — from Grafana Cloud’s built-in Kubernetes Monitoring plugin to open source Grafana with Mixins and Helm. One command, and your cluster data comes alive.

Deploying Loki on Kubernetes via Helm (Loki Community Call - October 2025)

This Loki Community Call is about deploying Loki on Kubernetes via Helm charts. We talk about why you might want to use Helm to deploy on Kubernetes, best practices for deployment, and which Helm chart you should use! We are Jay Clifford and Nicole van der Hoeven, Developer Advocates at Grafana Labs, and we have invited Grafana Champion and Loki Helm Maintainer Jan-Otto Kröpke, Principal Cloud Architect at QualityOperations GmbH, to talk about the state of the Loki Helm Chart.

Faster, more collaborative data exploration: Introducing saved queries in Grafana Cloud

Writing queries is one of Grafana’s most powerful features, but it can also be one of the most time-consuming. Whether you’re exploring logs or building new dashboards, you often find yourself and your team rewriting the same queries over and over again. This is why we rolled out saved queries, a feature that makes it easy for everyone on your team to save, share, and reuse queries, eliminating the need to start from scratch each time.