Your team adopted AI coding agents overnight and lost all visibility into what they do; Agent Sessions captures, normalizes, and makes every session searchable, auditable, and analyzable in aggregate.
Grepr now lets you run analytical queries over the data in your data lake directly from the UI, starting with logs, so you can answer questions where the raw data already lives instead of backfilling it or standing up a separate query engine.
See how Datadog, Splunk, New Relic, and 10 more observability tools compare on cost, query language, and AI support, plus the category most lists skip.
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.
Observability bills climb while teams delete the data they need most, and the recognition Grepr just earned points straight at why that tradeoff no longer has to happen.
Every AI conversation at the summit dragged a cost conversation behind it, and most teams already knew which one was winning.
Both pipelines claim to cut observability costs with AI, but the rule management, trace handling, and S3 storage models work in completely different ways.
Datadog bills are climbing again, and the teams paying them will be in Minneapolis this month. Grepr will be there too.
.webp)
.webp)
.avif)
