The Top 21 Grafana Dashboards & Visualisations

In our guide on the best Grafana dashboards examples, we wanted to show you some of the best ways you can use Grafana for a variety of different use cases across your organisation. Whether you are a software architect or a lead DevOps engineer, Grafana is used to make analysis and data visualisation far easier to conduct for busy engineering and technical teams throughout the world.


How we're working with the Elastic team to make the Elasticsearch data source for Grafana even more powerful

Back in March, we announced that Grafana Labs was partnering with Elastic to build an official Elasticsearch plugin for Grafana. As our CEO Raj Dutt wrote at the time, our “big tent” philosophy “means that we want to support data sources that our users are passionate about. Elasticsearch is one of the most popular data platforms that can be visualized in Grafana.”


Grafana Labs joins the CNCF Governing Board as a Platinum member of the open source foundation

At Grafana Labs, we are proud to be one of the largest code contributors to Cloud Native Computing Foundation projects. We are currently the leading company contributor to Prometheus, and also make substantial contributions to Cortex, Thanos, Jaeger, and OpenTelemetry. Our own open source projects — Grafana, Grafana Loki, and Grafana Tempo — have also become fundamental parts of the cloud native ecosystem.


Learn how to use the Jira, ServiceNow, GitHub, and GitLab plugins for Grafana for better visibility into software development

GitHub, GitLab, Jira, and ServiceNow are some of the most popular software development tools out there, and Grafana has powerful integrations with each of them. Join us for a live webinar on July 29 at 9:30 PT / 12:30 ET / 16:30 UTC for a demo of these data source plugins and best practices for creating a single pane of glass for viewing your software operations metrics. You can register here.


Get comprehensive monitoring for your Apache Kafka ecosystem instances quickly with Grafana Cloud

We are happy to announce that the Kafka integration is available for Grafana Cloud, our composable observability platform bringing together metrics, logs, and traces with Grafana. Apache Kafka is an open source distributed event streaming platform that provides high-performance data pipelines, streaming analytics, data integration, and mission-critical applications.


How Grafana helps organizations manage SLOs across multiple monitoring data sources

“SLO is a favorite word of SREs,” Grafana Labs Principal Software Engineer Björn “Beorn” Rabenstein said during his talk at KubeCon + CloudNativeCon NA 2019. “Of course, it’s also great for design decisions, to set the right goals, and to set alerting in the right way. It’s everything that is good.” So what happens when things go bad?


Embedded dashboard in action: Cleeng

This embedded dashboard feature offers insights from Cleeng, a SaaS platform specializing in Subscriber Retention Management (​SRM™). Cleeng clients can set up subscription services while getting unparalleled insight on how consumers experience their online content. I talked with Damien Organ, Senior Product Designer, to talk about Cleeng’s goals and objectives for their embedded analytics dashboard, how it was set up and by whom, and who uses it.


Grafana Labs welcomes the Pace.dev team, experts in building tools with great developer experience

As we look to the future of Grafana Labs and our products, we are keen to expand the ways in which we can help engineering teams build, maintain, and operate great software. We believe we can only achieve this by paying careful attention to the developer experience and the challenges faced in the real world of engineering.


Trending: A Seismic Shift in the Way We Present your Data

Eagle-eyed RapidSpike users will have noticed a big update to the app went live recently, with a major improvement to our Page Overview dashboard . Going back to September 2020, when we launched “RapidSpike Version 2” , we had great plans for the Page Overview – but they never quite materialised. Team efforts were focussed elsewhere and we did little to improve the old Page Overview or the data we displayed.