Noisy telemetry
Too many low-value signals make it harder to find what actually matters.
Telemetry your AI can trust
OllyGarden helps teams find and fix bad telemetry before it reaches any observability backend, giving engineers and AI agents data they can rely on — from pull request to production.
Why Telemetry Quality Matters
As systems grow, telemetry often becomes noisy, incomplete, inconsistent, or unsafe. This creates problems that show up too late: higher observability bills, slower incident response, unreliable AI recommendations, and sensitive data ending up where it should not.
OllyGarden helps teams catch and fix these issues earlier, before bad telemetry becomes expensive, risky, or misleading.
Too many low-value signals make it harder to find what actually matters.
Incomplete traces, logs, or metrics slow down debugging and incident investigation.
PII, credentials, or unsafe attributes can appear inside telemetry pipelines.
AI agents depend on telemetry. If the data is wrong, their recommendations are wrong too.
The New Reality
Coding agents now write much of the new code. They instrument it with the context they have, which rarely includes your conventions or what your team needs to see during an incident.
Your observability engineers know what good instrumentation looks like. They can’t read every pull request in every repository.
A pattern that slips through gets copied into the next service. By the time it shows up on a bill or in an incident, it is in every repository.
More services, more signals, more to run. Your Collectors carry it and your backend stores it, whether or not the data is worth keeping.
82%
Of logs were duplicates at a fintech we audited.
63%
Of trace data was waste at another company.
5 of 6
Audits surfaced leaked credentials or personal data.
From OllyGarden telemetry audits.
Voices from engineers and observability leaders working with OpenTelemetry®, telemetry quality, and production systems.
Blake IrvinPlatform Engineering LeaderMost teams don’t look at telemetry quality until there’s an incident.
André FicheHead of ObservabilityThe insights you’re bringing are gold. No backend today brings this so digested.
Adriel CardosoEngineering LeaderWe’re focused on operational efficiency. OllyGarden makes a lot of sense for us.
Luke MundyStaff Security and Reliability EngineerI feel like we can now effectively make ’instrumentation quality’ an actual engineering KPI instead of maintaining a vague best-practice doc nobody reads.
We take security seriously
OllyGarden has completed a SOC 2® Type II examination.

How OllyGarden Works
We don’t replace your observability backend. We make whatever you run send cleaner, cheaper, more trustworthy data.
Insights analyzes your telemetry and finds what’s missing or wrong in your instrumentation.
Rose opens a pull request to fix it at the source, guided by your org context and skills.
Your team reviews and merges it, new telemetry is sent, and the loop starts over.
Use one or both. Rose and Insights each work independently, so you can choose the product that fits your needs.
OllyGarden Rose
Rose reviews your code and helps improve OpenTelemetry instrumentation before bad patterns spread across repositories.
Learn MoreOllyGarden Insights
Insights detects quality issues across your services and helps teams understand where telemetry is breaking down.
Learn MoreLearn More
Deep dives on OpenTelemetry, telemetry quality, and the pipelines that carry it — written by the engineers building OllyGarden.


