How Grepr uses continuous pattern extraction and AI to detect anomalies and build monitoring strategies to prevent failures.
Every AI conversation at the summit dragged a cost conversation behind it, and most teams already knew which one was winning.
Grepr's free tier is live: perpetual, no credit card, 4 TB of logs and 8 TB of traces a month to run on your own data.
Most engineering teams running healthcare or FinTech systems are sitting on a HIPAA retention gap they have not found yet, and their observability vendor is not going to flag it for them.
Grepr's proactive AI SRE agent monitors system behavior in real time, catching anomalies before they become outages, without waiting for a threshold to be crossed or a rule to be written.
A breakdown of why app logging bills grow faster than your user base, and how to cut volume without losing observability coverage.
Observo and Grepr both use AI-driven pipelines to reduce observability data volumes, but where Observo requires complex manual configuration, Grepr automates 90% or more of data reduction from day one.
Grepr and Mezmo both promise observability cost control, but where Mezmo layers on complexity, Grepr cuts data volume by 90% or more with zero disruption to existing workflows.
Jitsu's CTO joined us to explain why the real cost of observability isn't your monitoring bill, it's how long it takes your engineers to find the problem when something breaks.
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