Why Cerbi
Logging behavior is broken.
Not a theory. A pattern.
Every team experiences the same predictable failures. The only question is whether you find them before an incident or after one.
Logging behavior is broken
The problems are not random. They are predictable.
Every team logs differently.
Field names drift over time.
Sensitive data gets logged during debugging.
Logs are written for moments, not systems.
Dashboards break because data is inconsistent.
Costs grow with bad logging behavior.
Cleanup happens after incidents.
This isn't a tooling problem.
It's a control problem.
Business impact
What this means for your business.
Lower observability costs
Reduce unnecessary log volume before ingestion. Fewer irrelevant events means lower Splunk and Datadog spend.
Prevent sensitive data leaks
Stop PII, credentials, and tokens before they leave the application. Not after they've reached your pipeline.
Improve incident response
Consistent log structure means faster queries, reliable alerts, and dashboards that actually reflect reality.
Eliminate rework across teams
One policy, applied consistently. No more per-team logging standards, downstream cleanup, or field mapping gymnastics.
Restore trust in dashboards
When logging behavior is governed, your dashboards and alerts reflect what is actually happening in production.
Bad logging behavior compounds cost, risk, and confusion.
Cerbi stops it at the source.
Next
See exactly how Cerbi fixes this: inside your application, before data leaves.
One line of setup. No pipeline migration. Governance at the point of emission.