> ## Documentation Index
> Fetch the complete documentation index at: https://docs.mezmo.com/llms.txt
> Use this file to discover all available pages before exploring further.
# Welcome
> Build, optimize, and act on telemetry data with Mezmo.
Build, optimize, and act on telemetry data with Mezmo.
Start with log management, design Telemetry Pipelines, deploy Mezmo Edge, or jump into the API references for automation.
Quick Start
Follow the shortest path from account setup to your first logs or pipeline API request.
Sign up for Mezmo, create an organization, and review the basics in the Log Management quick start.
Use the ingestion guide to pick an agent, integration, API, or pipeline source for your data.
Create an access key and send it with the `Authorization` header.
```bash theme={null}
export MZM_ACCESS_KEY="sta_1a2b3c4d5e6f7890abcdef1234567890abcdef12"
curl -H "Authorization: Token $MZM_ACCESS_KEY" \
-H "Accept: application/json" \
https://api.mezmo.com/v3/pipeline
```
Explore the pipeline architecture guide or the optimization tutorial when you are ready to optimize volume, route data, or deploy repeatable patterns.
Documentation
Browse product guides by the work you are doing: collect, process, deploy locally, or optimize your telemetry data.
Collect logs, parse fields, search events, create views, and alert your team when something changes.
Build pipelines that receive, process, route, and deliver telemetry data to the destinations you choose.
Run local data pipelines close to your sources for on-premises and edge collection patterns.
Walk through source setup, profiling, and optimization for logs, metrics, and traces.
API Reference
Authenticate once, then use the API references and quickstarts to script common Mezmo workflows.
Learn token formats, delegated account context, and request headers.
Query and manage Log Analysis resources through the API reference.
Create pipelines, add components, publish revisions, and automate pipeline operations.
Resources
Use these references when you are planning architectures or tuning pipelines.
Compare common telemetry pipeline patterns for ingestion, optimization, routing, and rehydration.
Learn practical techniques for reducing telemetry volume while preserving useful signal.
Ready to send data to Mezmo?
Start with log ingestion, then add pipelines and APIs as your
telemetry workflows grow.
View Ingestion Options