Developer education at 3,000+ repo scale
Inconsistent instrumentation across thousands of repositories means your platform team can never review everything manually.
OllyGarden for Enterprise Software
Help every engineership better telemetry— across thousandsof repositories
Enterprise software companies instrument thousands of services across multi-tenant platforms. OllyGarden helps you improve instrumentation quality at scale and give every developer the guidance they need to ship clean telemetry.
Enterprise Software Pain Points
Challenges we hearevery week
From dozens of customer interviews, these are the pain points that come up again and again.
Collector reliability at scale
Running collectors across hundreds of thousands of nodes demands predictable releases, CVE backports, and commercial-grade support.
Multi-tenant telemetry complexity
Routing telemetry correctly across tenants, environments, and regions adds layers of configuration that are hard to validate.
Security reviews blocking SaaS adoption
Internal security teams require lengthy reviews before adopting any new SaaS tool, slowing down telemetry quality improvements.
Interviews with Companies
What we’ve learned from the field
Anonymized data points from our customer interviews — the scale and challenges are real.
noise traces
94%
One integration platform discovered that 94% of their traces were operational noise from internal service calls, obscuring real customer issues
service names
4,000+
A platform generates over 4,000 dynamically created service names, making instrumentation tracking nearly impossible without automation
annotation bloat
~50 MB
A software company found ~50 MB of vendor-injected annotation payloads per batch, inflating telemetry costs with zero observability value
From the field
Enterprise software · North America · Anonymized, but real · Audio episode
Nearly half the spans came from a service called cli: what we found at a 500-service enterprise platform
One background worker named cli made 45% of all spans, a third of logs were exact duplicates, a third were access logs, and the Collector shipped its own logs again.
- 45%of all spans came from one unnamed worker
- 32%of log records were exact duplicates
- 4.5%of logs were the Collector re-shipping its own output
Enterprise software · Latin America · Anonymized, but real · Audio episode
How a B2B SaaS platform cut logs 24% and metrics 25% in six weeks, without touching a single customer log
Repeated logs, metrics that never change, and a pipeline complaining about itself. How replay-verified Collector changes beat a six-week proof of value, and what happened after.
- 24%fewer log records
- 25%fewer metric datapoints
- 61%less volume on dedup-eligible logs
The findings in these stories fall into five dimensions of telemetry quality: identity, volume and waste, cost drivers, safety, and correctness. What is telemetry quality? →
Products & Services
How OllyGarden helps
Purpose-built tools to measure telemetry quality and fix instrumentation at the source.
OllyGarden Rose
Rose
AI-powered instrumentation guidance that scales across thousands of repositories, helping every developer ship better telemetry.
Learn More
OllyGarden Insights
Insights
Score and track instrumentation quality at the organizational level. Identify patterns and set standards across your entire platform.
Learn MoreReady to take controlof your telemetry?
Tell us about your enterprise software telemetry challenges and we’ll show you how OllyGarden can help.