PromLens is a query builder and visualizer designed to help users explore and understand Prometheus metrics. It aims to simplify the process of writing and debugging PromQL queries, making it easier to gain insights from time-series data. PromLens provides a graphical interface for constructing queries, visualizing the results, and understanding how different query components interact. Its main use cases include exploring new metrics, debugging existing queries, and gaining a better understanding of Prometheus’s query language.
PromLens is an open-source query builder and visualizer specifically designed to help users explore, understand, and debug PromQL queries for Prometheus metrics. It provides an intuitive graphical interface that simplifies the process of interacting with Prometheus data, making it accessible to a wider range of users.
Key Features
- PromQL Query Builder: Offers an interactive interface for constructing PromQL queries with intelligent autocompletion, syntax highlighting, and linting.
- Visual Query Explanation: Visualizes the breakdown of complex PromQL queries into sub-expressions, helping users understand how each part contributes to the final result.
- Real-time Visualization: Displays query results graphically, allowing for instant feedback and exploration of time-series data.
- Data Insights: Provides context-aware information about metrics and labels, making it easier to discover and utilize relevant data.
- Debugging Capabilities: Aids in debugging problematic queries by showing intermediate results and potential issues.
- Grafana Integration: Can be seamlessly integrated with Grafana, enhancing the experience of building and debugging PromQL queries for dashboards.
- Ad-Hoc Exploration: Ideal for exploring new metrics, understanding data patterns, and validating monitoring configurations.
Benefits
- Simplified PromQL: Lowers the barrier to entry for PromQL, making it easier for users of all skill levels to write and understand complex queries.
- Faster Troubleshooting: Accelerates the process of debugging and optimizing Prometheus queries, reducing the time spent on incident resolution.
- Improved Observability: Enhances the ability to gain insights from Prometheus metrics, leading to a better understanding of application and infrastructure performance.
- Increased Confidence: Allows users to build and validate queries with confidence, knowing how each component affects the outcome.
- Developer Productivity: Streamlines the workflow for developers and SREs working with Prometheus.
- Educational Tool: Serves as an excellent tool for learning and mastering PromQL.