Query, visualize, alerting observability platform

Please note that in order to install the Grafana Cloud extension, Docker Desktop version 4.8 or higher needs to be installed and the extensions feature has to be enabled in the settings. See the Docker Desktop extensions documentation for more information. Expected behavior
Expected the graph to slide out of view, not to be cut off at the beginning. Sign up for a free GitHub account to open an issue and contact its maintainers and the community. This webinar covers the challenges of scaling and securing logs, and how Grafana Enterprise Logs powered by Grafana Loki can help,… A self-managed option for organizations that have special requirements around data localization and privacy.

What is Grafana

Some judicious hacks could enable both, so Grafana created an easier route to achieving this. It’s now possible to create a team of users and then assign permissions on folders,  Grafana dashboards, and so on, right down to the data source level for Grafana Enterprise users. You can extend Grafana’s functionality with plugins that offer extra tools, visualizations, and more. Popular examples include Worldmap Panel (which superimposes data on a map), Zabbix (which integrates with Zabbix metrics), and Influx Admin Panel (which enables database creation or lets you add users).

What Features Does Grafana Provide?

Results can be fed to the Grafana dashboard and this result will be presented to the user in the most approachable manner. The user is happy with the result as no physical servers are used and graphs are obtained with huge data from the cloud. This data is presented in the most efficient and organized manner. Also, since Grafana is open source, it helps the users to customize the dashboards as much as they wish and extensive coding is not required. Grafana connects to a variety of data sources such as Prometheus, InfluxDB, ElasticSearch, and traditional relational database engines.

Explore your data through ad-hoc queries and dynamic drilldown. Split view and compare different time ranges, queries and data sources side by side. Organizations and teams which make effective use of data are better equipped to spot patterns, make targeted improvements, and enhance their overall effectiveness. Grafana dashboards contribute by letting product managers, data analysts, and developers access shared views that keep everyone on the same page. Bring everyone together, and share data and dashboards across teams. Grafana empowers users and helps foster a data-driven culture.


This feature, which shows up as a graph marker in Grafana, is useful for correlating data in case something goes wrong. You can create the annotations manually—just control-click on a graph and input some text—or you can fetch data from any data source. On the other hand, Grafana is written as a generic monitoring solution for running monitoring and analytics on pretty much anything. This is a very bird’s eye view of the difference between both tools. The dashboards contain a gamut of visualization options such as geo maps, heat maps, histograms, and a variety of charts and graphs which a business typically requires to study data. Grafana is an open-source observability platform for visualizing metrics, logs, and traces collected from your applications.

What is Grafana

For instance, a patch management solution provider/user may get the following questions addressed — “When is the best time to patch all the systems? Over time, teams build up a repository of data-backed evidence, which allows them to create positive feedback loops. The more data teams get back from Grafana, the more they can iterate their operations. Essentially, Grafana is a feature-rich replacement for Graphite-web, which helps users to easily create and edit dashboards. It contains a unique Graphite target parser that enables easy metric and function editing. As it so happens, Grafana began as a fork of Kibana, trying to supply support for metrics (a.k.a. monitoring) that Kibana (at the time) did not provide much if any such support for.

Things to Monitor in your WordPress Site

At Logz.io we use both tools to monitor our production environment, with Grafana hooked up to Graphite, Prometheus and Elasticsearch. Both Kibana and Grafana are pretty easy to install and configure. Both support installation on Linux, Mac, Windows, Docker or building from source.

  • The Grafana Cloud extension for Docker Desktop has an embedded Grafana Agent instance and a UI that lets you easily configure and connect to Grafana Cloud to start sending metrics and logs.
  • This is a very bird’s eye view of the difference between both tools.
  • Grafana’s large community of users and contributors has already created lots of them.
  • With advanced querying and transformation capabilities, you can customize your panels to create visualizations that are actually helpful for you.
  • Bring together the raw, unsampled metrics for all your applications and infrastructure, spread around the globe, in one place.

It does not index the contents of the logs, but rather a set of labels for each log stream. Visualize, analyze, and correlate operational data across multiple sources, and query across multiple AWS accounts and Regions. This query selects the time and the download fields from the bucket internet_speed. grafana plugin development The $__timeRange(time) means we can update the time range from the dropdown menu. Clicking on the circular arrows to the top right of the panel creates or refreshes the image. We’re the world’s leading provider of enterprise open source solutions—including Linux, cloud, container, and Kubernetes.

Built on open source, driven by the community

Translate and transform any of your data into flexible and versatile dashboards. Unlike other tools, Grafana allows you to build dashboards specifically for you and your team. Template variables allow you to create dashboards that can be reused for lots of different use cases. Values aren’t hard-coded with these templates, so for instance, if you have a production server and a test server, you can use the same dashboard for both.

What is Grafana

Dashboards are made from panels of information organized into rows. I’m creating a dashboard from one datasource, but you can use different data from different sources in the same dashboard. The first option on the display is Create your first datasource. I’m using a local MySQL database running on localhost on port 3306 for the database CD and with the user we made previously, grafanaReader. If everything is configured correctly, you should see a green box with the message Database Connection OK. This Grafana tutorial will cover the installation, configuration, and creation of your first dashboard using Grafana to monitor a MySQL database.

more stack exchange communities

Kibana supports a wider array of installation options per operating system, but all in all — there is no big difference here. Since Kibana is used on top of Elasticsearch, a connection with your Elasticsearch instance is required. We live in a world of big data, where even small-sized IT environments are generating vast amounts of data.

As a big fan of the Grafana Loki project, he likes to publish Loki how-to videos on YouTube, share project news and tips on social media, and give Loki- and observability-flavored workshops and webinars. Earlier in his career, he specialized in big data cybersecurity and worked as a developer of high-traffic websites. It uses the same service discovery as Prometheus and includes analogous features for labeling, transforming, and filtering logs before ingestion into Loki. Grafana Labs is proud to lead the development of the Loki project, building first-class support for Loki into Grafana, and ensuring Grafana Labs customers receive Loki support and features they need. Loki is a horizontally scalable, highly available, multi-tenant log aggregation system inspired by Prometheus.

What is Graphite Grafana?

This helps the application to stay tuned and work peacefully with less load. All the data and logs are saved in the cloud applications integrated with Grafana. The cloud applications save the data and collaborate with the application to provide better results with the user.