Tero finds waste, sensitive data, and operational risk in your logs before they become costly problems, then gives your teams and AI agents a safe path to fix them.
After an incident starts, after the bill spikes, after the audit fails, after the pain is felt.
The signal was already there, but logs are too large, noisy, and expensive to read continuously.
DEBUG middleware_request route=/v2/checkout hop=17 trace_id=tr_9fdA debug middleware line fires on every checkout route hop and repeats trace data already captured by spans.
Tero continuously reads each log with AI shortly after it is created, so issues surface while they are still small.
Each issue is already tied to the service, owner, evidence, impact, and log examples your team needs to act.
Tero turns cost and compliance findings into Telemetry Policies: small, reviewable production changes that drop, sample, redact, or route telemetry before storage.
Every Tero issue includes evidence, owner, severity, and the recommended fix. Send it to the people, tools, or agents that should act next, whether the resolution is a Telemetry Policy, a code change, an infrastructure fix, or a team review.