analytics

OpenObserve: Lower Costs

Get a sophisticated observability platform, for founders needing logs, metrics, and traces monitoring.
intermediate1-2 hours💵 Free
20,895 stars1,003 forksTypeScriptGuide quality 8/10Updated 8/11/2026100% free · open source
What it is

Use a pre-build platform to collect, analyze data and make decisions.

Real use case example

"A founder, Alex, is struggling with high server costs. She uses Openobserve to connect to her server logs, track performance metrics, and generate alerts when utilization exceeds 80%. By optimizing server resources, Alex reduces costs by 20% within a month."

Best insideAny AI ClientCodex CLI
When to use it
  • You need to monitor and analyze logs, metrics, and traces for your application
  • You're looking for a highly performant and scalable observability solution
  • You want to reduce storage costs associated with observability tools
Ready-to-paste prompt
Run OpenObserve with a custom configuration file: ./openobserve -config-path=/path/to/config.yaml
Heads up: Make sure you have the necessary dependencies and runtime environment to support the OpenObserve binary, as specified in the GitHub README
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🛠️ Technical setup

Expect 20–40 minutes in a terminal — or let your AI agent drive it.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/openobserve && curl -fsSL https://workflowstacks.com/api/skills/openobserve/claude-skill -o ~/.claude/skills/openobserve/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How OpenObserve: Lower Costs works
Codeflow
Free to inspect

OpenObserve: Lower Costs is a very large TypeScript project (~1.8M lines across 5207 code files, plus 736 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, AGPL-3.0 license, has a test suite.

Size
Very large codebase
~1.8M lines · 5207 code files · days to read — use, don't read
Setup
Developer setup
A real software project. Use it via its install path; don't expect to read it all.
Runs on
Rust
Needs API keys (.env)
TypeScript 38%Rust 30%Vue 18%JavaScript 12%Python 2%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    CLAUDE.md
    The instructions the AI actually follows
  3. 3
    src/main.rs
    Where the program starts running
  4. 4
    Cargo.toml
    Dependencies and the commands it exposes
  5. 5
    .env.example
    The API keys and settings you must provide
What's in each folder
src/Core code — the actual logic1706 files
web/Frontend / UI4066 files
scripts/Helper scripts17 files
screenshots/Folder16 files
cross/Folder2 files
config/Configuration1 files
deploy/Deployment / infrastructure1 files
qa-reports/Folder1 files
READMEHas testsDocumentedCI checksAGPL-3.0 licenseUpdated this month
Quick Actions
Details
Creator
openobserve
Language
TypeScript
Category
analytics
Published
2/2/2023

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