Grafana 9 launched at GrafanaCONline 2022 in June, and one of the biggest highlights was the introduction of the new Grafana Loki and Prometheus query builders. 🎉 We believe that both of them are going to be incredibly useful for our Prometheus and Grafana Loki users. In this blog post, we will focus on the Grafana Loki query builder and share its new features and improvements with you.
Sometimes the simplest questions prompt the most spirited discussion. Questions like: What is the airspeed velocity of an unladen swallow? What should we have for dinner tonight? Or, as we find out in this episode of “Grafana’s Big Tent" what even is observability?
Behind every feature in Grafana, no matter how big or small, lies a lot of hard work, commitment, and attention to detail. At Grafana Labs, we use a cross-functional team approach to come up with ideas and solutions that ultimately make our products more usable, resilient, and adaptable to user needs. To achieve this, we work collaboratively across the UX, product, and engineering disciplines.
Dashboards are a powerful tool for communicating a lot of information at once. Many Splunk apps are packaged with dashboards to help you make the most of your data. For example, the Microsoft 365 App for Splunk comes with a number of dashboards to provide insights around usage, incidents, and more.
Role-based access control (RBAC), previously referred to as fine-grained access control (FGAC), is Grafana’s new authorization system. It was introduced as a beta feature in Grafana 8.0 release a year ago, and we’re now excited to promote it to general availability status. With the release of Grafana 9.0 during GrafanaCONline 2022, RBAC is enabled by default for all instances. (The easiest way to get started with Grafana 9? Sign up for a free Grafana Cloud account today.)
In this guide, we’ll set up an OpenTelemetry Collector that collects logs and sends them to Grafana Loki running in Grafana Cloud. We will consider two examples for sending logs to Loki via OpenTelemetry Collector. The first one shows how to collect container logs with a Fluent Forward receiver. The second one shows how to collect system logs with a Filelog receiver.
A month ago, we introduced unsupervised ML & Anomaly Detection in Netdata, the Anomaly Advisor. Today, we’re happy to announce that we’re bringing anomaly rates to every chart in Netdata Cloud. Anomaly information is no longer limited to the Anomalies tab and will be accessible to you from the Overview and Single Node View tabs as well. This will make your troubleshooting journey easier, as you will have the anomaly rates for any metric available with a single click.
Both Kibana and Grafana are data visualization tools providing users capabilities to explore, analyze and visualize data with dashboards. The difference between Kibana and Grafana lies in their genesis. Kibana was built on top of the Elasticsearch stack, famous for log analysis and management. In comparison, Grafana was created mainly for metrics monitoring supporting visualization for time-series databases.
Grafana is an open source tool for people with many different perspectives and various skill levels. Many initiatives to improve the Grafana user experience start by thinking about someone who’s just getting started on their observability journey. However, late last year, a Grafana Labs hackathon team looked to improve the user experience for our power users by introducing a command palette to Grafana.
