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Metrics

OpenObserve provides comprehensive metrics collection, storage, and visualization capabilities for monitoring your applications and infrastructure performance in real-time.

Overview

Metrics in OpenObserve enable you to track key performance indicators, monitor system health, and gain insights into your application's behavior over time. Designed for high-throughput environments, OpenObserve efficiently handles metrics ingestion, storage, and querying at scale while maintaining cost-effectiveness.

Metrics Page view

Key Features

Metrics Ingestion

  • Multiple Formats: Support for multiple formats including Prometheus remote-write and structured JSON metrics via HTTP ingestion.
  • Push & Pull Models: Supports push-based ingestion and integration with systems like Prometheus for pull-based scraping.
  • High Throughput: Handle millions of metrics per second with minimal latency.
  • Optimized Processing: Optimized ingestion pipelines for high-throughput environments.

Metric Structure

  • Time Series Data: Native support for time-series metrics with timestamp precision.
  • Multi-dimensional: Handle metrics with multiple labels and dimensions for detailed analysis.
  • Aggregation Functions: Built-in support for common aggregation functions (sum, avg, min, max, count).
  • Custom Metrics: Flexible schema for application-specific metrics and KPIs.

Query & Analysis

  • PromQL Support: Full compatibility with Prometheus Query Language for familiar querying.

PromQL Queries

  • SQL Interface: Use SQL syntax for complex metrics analysis and reporting.

  • Time Range Selection: Flexible time range queries with support for relative and absolute time periods.

Time Range Selection

  • Mathematical Operations: Perform calculations and transformations on metrics data.

Visualization & Dashboards

  • Real-time Charts: Interactive time-series visualizations with multiple chart types.

Metrics Visualization

  • Custom Dashboards: Create comprehensive dashboards with multiple metrics panels.

  • Alerting Integration: Set up alerts based on metrics thresholds and conditions.

Metrics Alerting

Storage & Performance

  • Optimized Compression: Advanced compression algorithms reduce storage costs.

Metrics Compression

  • Efficient Indexing: High-performance indexing for fast query execution across large datasets.

  • Downsampling: Automatic data downsampling for long-term storage optimization.

  • Retention Policies: Configurable retention settings to balance storage costs and data availability.

Metrics Retention

Integration & Compatibility

  • Prometheus Compatible: Full compatibility with Prometheus ecosystem and exporters.
  • OpenTelemetry Ecosystem: Full compatibility with OpenTelemetry collectors and instrumentation libraries.
  • API Access: RESTful APIs for programmatic access to metrics data.
  • Standard Exporters: Support for popular metrics exporters (Node Exporter, cAdvisor, etc.).

Get started with metrics

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Next steps

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