Experiment tracking that survives scale.

Built for RL and foundation-model training — at the volumes where other tools make you log less. Sustained 20k+ series entries per second. A bill that can't surprise you.

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python

pip install metrana

import math
import random

import metrana

metrana.init(
    workspace_name="my-workspace",
    project_name="my-project",
    run_name="quickstart-ml",
    config={"optimizer": "adam", "lr": 3e-4, "batch_size": 256},   # logged as run attributes
)

Metrana plugs into your training workflow with just a few lines of code — start capturing system-wide signals immediately.

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You dropped the metric that would've told you.

Rate limits, cardinality caps, sampling — every tracker has a ceiling, and past it, logging less becomes the default. The metric you didn't log is the one that explains the failure.

You had the metric. You still didn't see it in time.

Thousands of series, one dashboard. Finding the one that moved before the collapse means digging manually — by the time you have, the run's already burned the compute.

Your run isn't a run. It's a tree.

Environments, episodes, steps. A flat run_id can't hold that shape — so you're back to hacking together your own hierarchy on top of a flat table.

THE VISIBILITY GAP

Log everything your training systems produce. We keep up, structure it, and make it usable.

01 — Ingest everything.

Full-rate logging of thousands of signals per run. No sampling, no dropping. Sustained 20k+ series entries per second.

02 — RL-native.

Environments, episodes, and steps are first-class — not folder names.

03 — Honest pricing.

Pay for what you log. Set a spending limit; we throttle instead of charging past it.

04 — Analysis agent (early access).

Explains what you're looking at today. Deep diagnosis is being built with design partners.

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Built to ingest, store, and query metrics at massive scale.

System-level visibility

Operate complex training systems with full visibility. Metrana structures thousands of signals into a coherent system view so nothing gets lost between components.

Built for multi-agent complexity

Track per-environment signals, rewards, and trajectories across every agent in your system. When behaviour emerges or breaks, you see exactly where and why.

Faster diagnosis and resolutions

Fix problems faster with clear, actionable recommendations. Metrana traces failures to their origin, not the symptom, so you know what started it and when.