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mikkelkrogsholm
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openobserve

Ingest logs, metrics, and traces via HTTP, OpenTelemetry, Fluent Bit, or Prometheus.

5|3|Updated Feb 21, 2026
Search Tags:#monitoring#logs#metrics#observability#traces#openobserve
One-click install
npx skills add https://github.com/mikkelkrogsholm/dev-skills --skill openobserve
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: openobserve
Source: https://github.com/mikkelkrogsholm/dev-skills/tree/main/openobserve
Command: npx skills add https://github.com/mikkelkrogsholm/dev-skills --skill openobserve

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) and scripts (resource) components.

What problem does it solve?

This Skill simplifies observability by consolidating logs, metrics, traces, and more into a single, self-hostable platform, reducing complexity and cost compared to managing multiple tools.

Core Features & Use Cases

  • Unified Data Ingestion: Supports various methods like HTTP API, OpenTelemetry, Fluent Bit, and Prometheus remote_write.
  • Cost-Effective Storage: Utilizes Parquet and an S3-native architecture for significantly lower storage costs.
  • Flexible Querying: Allows querying data using SQL and PromQL.
  • Use Case: Set up OpenObserve to collect logs and metrics from your applications, visualize them on dashboards, and configure alerts for critical events.

Quick Start

Deploy OpenObserve using Docker with the provided command to start collecting data.

Frequently Asked Questions about openobserve

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
What is a unified observability platform for logs, metrics, and traces?▼

A unified observability platform consolidates logs, metrics, and traces into a single self-hostable system, reducing complexity and storage costs compared to managing multiple separate monitoring tools. It simplifies data analysis across your entire stack.

How do I ingest logs and metrics using OpenTelemetry and Prometheus remote_write?▼

You can ingest logs and metrics using OpenTelemetry, Prometheus remote_write, Fluent Bit, or HTTP API. This flexible data ingestion supports collecting telemetry from various applications and sending it directly to a unified storage backend.

Can I query observability data using SQL and PromQL?▼

Yes, you can query ingested observability data using both SQL and PromQL. This allows you to analyze logs, metrics, and traces flexibly, enabling complex data analysis and dashboard visualization without learning a proprietary query language.

What's the best way to reduce observability storage costs for logs and metrics?▼

To reduce observability storage costs, utilize a Parquet and S3-native architecture. This approach significantly lowers storage expenses compared to traditional tools while maintaining high-performance querying for logs and metrics.

Does OpenObserve support self-hosted deployment via Docker?▼

Yes, OpenObserve supports self-hosted deployment via Docker. You can quickly deploy the platform using a provided Docker command to start collecting logs, metrics, and traces locally or on your own infrastructure.

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