Best of Grafana Labs — October 2024

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   Article

   Grafana Labs·2y

   Visualize GitHub repos, projects, and more

   The GitHub data source plugin for Grafana helps organizations visualize key metrics and data from GitHub, making it easier to monitor repositories, pull requests, issues, and more. Key features include support for different query types, use of variables and macros for dynamic queries, annotation capabilities, and caching for improved performance. The plugin is maintained by Grafana Labs and supports both free and enterprise GitHub accounts. Recent updates have added GitHub App authentication for enhanced security.

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2. 2
   Article

   Grafana Labs·2y

   Container monitoring with Grafana: Helpful resources to get started

   Containers enable consistent application performance across different environments and are often organized into microservices for better efficiency and scalability. Grafana is a powerful tool for monitoring these containerized environments, offering capabilities to visualize, query, and analyze metrics and logs. Comprehensive documentation is available for deploying Grafana with Docker, Kubernetes, and Helm Charts, covering configuration, customization, and troubleshooting best practices. The community is also invited to contribute feedback and join the Grafana Champions program to support wider documentation efforts.

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3. 3
   Article

   Grafana Labs·2y

   Grafana dashboards are now powered by Scenes: big changes, same UI

   Grafana has migrated its dashboard architecture to use the Grafana Scenes library, making the dashboards more stable, dynamic, and flexible while maintaining the familiar UI. This change enables several improvements, such as a new `Edit` mode, fixed positioning for template variables and time picker, faster PDF export times for enterprise users, and additional features like the `timezone` parameter in URLs and Kiosk mode enhancements. Despite the significant under-the-hood changes, users will experience a consistent interface with enhanced performance and new functionalities.

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4. 4
   Article

   Grafana Labs·2y

   How to use Prometheus to efficiently detect anomalies at scale

   Discover how an effective anomaly detection framework was built using Prometheus and PromQL. Learn about setting up average and standard deviation recording rules, tuning parameters like time windows and multipliers, and addressing challenges such as extreme outliers, low sensitivity, and seasonality. The reusable framework works for any metric and can integrate with your existing Prometheus setup to enhance incident investigation and root-cause analysis.

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