Solutions · Cost Reduction

Cut your telemetry bill without changing your stack.

Tero connects read-only and shows exactly what you can safely stop paying for in minutes. Then it fixes the data driving the bill with safe, reversible policies. No migration, blind sampling, manual cleanup, or pipeline rewrite.

Book a Demo

40-60% waste in most environments
Exact savings in minutes
Every cut backed by raw evidence
No migration or pipeline rewrite

Point of view

Most cost strategies change the wrong thing first.

We wrote more on this: The question your observability vendor won't answer.

Switching vendors may lower the unit price, but the waste comes with you. Sampling lowers volume by sacrificing signal. Archive and replay make engineers wait for data they need now. Pipelines add controls, but still leave your team deciding what is safe to change.

These strategies start with infrastructure because teams have never had a reliable way to understand the data itself.

Tero starts with the telemetry. It determines what each signal contributes, what already carries the same information, what must remain available, and what is not earning its cost.

Then it removes only the waste. You keep your stack, preserve the signal your teams rely on, and fix the underlying reason the bill became expensive.

Ben Johnson

Founder, Tero
Creator of Vector

01 · Tero Index

See exactly what you can safely cut in minutes.

Connect Tero read-only. It builds a contextual index of your telemetry, determines what each signal contributes, and prices the data that is not earning its cost.

Every finding includes representative data, volume, history, service context, semantic meaning, and links to the raw records.

Nothing changes while Tero analyzes the environment. You see the available savings and the evidence behind them first.

Why Tero marked this event as wastecheckout-api

High-volume checkout debug event

checkout_debugpayment_failed · nearby signal

Every value dimension this event could claim is already carried better by payment_failed, one hop away in the same service.

02 · Tero Issues

Every saving comes with proof.

Tero does not produce a generic recommendation to reduce volume. Each issue identifies the specific telemetry, what it costs, why it is waste, what valuable signal remains, and what change Tero recommends.

Your team can inspect the raw evidence, review the expected savings, and approve the change without starting another months-long cleanup project.

03 · Tero Actions

Start saving with safe, reversible policies.

Tero converts each approved finding into a focused Telemetry Policy that runs where your telemetry already flows. Policies are reviewable, reversible, and measured against the savings Tero found.

No shared configuration rewrite. No cleanup campaign across every service team. Apply the policy and begin reducing volume immediately.

Now officially part of OpenTelemetry ↗

Policy spec ↗Policy examples ↗How policies work ↗

checkout-api / drop-checkout-debug.yamlDrop

id: POL-1031
name: "Drop checkout debug logs"
description: "Created from ISS-1. Redundant with payment_failed."
log:
  match:
    - resource_attribute: [service.name]
      exact: checkout-api
    - log_field: event
      exact: checkout_debug
  keep: none
labels:
  - key: issue_id
    value: ISS-1

Policy runtime

Enforce policies where your telemetry already flows.

The open-source Tero runtime runs inside the collector, agent, or pipeline you already use. It applies policies before waste reaches storage and reports measured savings back to Tero. No new data plane. No telemetry routed through us.

Benchmarks ↗Distributions ↗

Raw telemetry

Clean signal

Host

OTel CollectorTero policy engineGo