Best of Grafana Labs — November 2025

  1. 1
    Article
    Avatar of grafanaGrafana Labs·28w

    A Star Wars dashboard deep dive: How to build your next visualization in less than 12 parsecs

    A detailed walkthrough of building a Star Wars-themed Grafana dashboard, covering practical techniques like using stat panels for custom text styling, TestData plugin for simulating dynamic data, canvas panels for creating custom visualizations with animations, and styling approaches for visual consistency. Demonstrates how to create gauges, charts, maps, and custom layouts while explaining the technical implementation behind each component.

  2. 2
    Article
    Avatar of grafanaGrafana Labs·29w

    Understand, diagnose, and optimize SQL queries: Introducing Grafana Cloud Database Observability

    Grafana Cloud Database Observability is now in public preview, offering developers, SREs, and DBAs tools to understand, diagnose, and optimize SQL queries. The solution addresses the visibility gap in database performance by providing query-level insights, execution plans, wait event analysis, and AI-powered optimization suggestions. It supports MySQL and PostgreSQL, integrates with Grafana Alloy for telemetry collection, and correlates database metrics with application and infrastructure data for comprehensive system-wide performance analysis.

  3. 3
    Article
    Avatar of grafanaGrafana Labs·30w

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

    Grafana Mimir 3.0 introduces a redesigned architecture that separates read and write operations using Apache Kafka as an asynchronous buffer, eliminating performance bottlenecks between ingestion and queries. The release features the Mimir Query Engine (MQE), which processes queries in a streaming fashion rather than bulk loading, reducing peak memory usage by up to 92%. These improvements deliver 15% lower resource usage in large clusters while maintaining faster query execution and higher reliability. The new ingest storage component ensures query spikes won't slow down data ingestion and vice versa, enabling independent scaling of each path.

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