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Telemetry Machine docs

Send OpenTelemetry traces, logs, and metrics, then query them as columns. Start with the Quick Start, or jump to the part you need.

How it fits together

  1. 01 Get started Create an account and connect your first app, by agent or by hand.
  2. 02 Send data Point any OTLP exporter or Collector at a dataset with an ingest key.
  3. 03 Understand the schema How attributes become columns, and why old rows show null.
  4. 04 Query & explore Filter spans, logs, and metrics in the explorers. Try it on demo data.

Instrument your app

OTel Collector otlphttp exporterJS Node.js OpenTelemetry SDKPy Python OpenTelemetry SDK </> Any OTLP source Endpoint + ingest key

Built for coding agents

Hand one prompt to your agent. It installs tm-cli, signs in through your browser, downloads the skills, instruments the app, and checks that data arrives.

setup-prompt.txt 
Set up my app to send telemetry to Telemetry Machine, and connect to my account so you can query it.

1. Check `tm-cli --version` against the current release manifest and install or update it:
   https://telemetrymachine.com/downloads/tm-cli/manifest.json
   Pick the artifact for this OS and architecture, check its sha256, and put
   `tm-cli` on $PATH somewhere that does not need sudo.
2. Run `tm-cli auth login`. It opens my browser. Wait while I
No secrets inside: your agent signs in through your browser.
tm-cli Log in, list datasets, create ingest keys. → Agent skills Instrumentation skill and its checklist. → These docs, as text Every page as Markdown, for your agent's context. →