7-Eleven’s former CTO breaks down how he cut an observability bill running at a third of his cloud spend, and what reliability is really worth.
Grepr works out an application’s distinct trace paths on its own, separating a cache hit from a backing-store call so tail sampling can be aggressive without hiding a slow tier.
Run analytical queries over the data in your Grepr data lake, directly from the UI. This walkthrough shows how to ask analytical questions of your logs in the Analyze view, without writing SQL or backfilling into your observability tool.
Envoy's observability spend kept climbing, and about 98% of the logs they ingested were never queried, never shown on a dashboard, and never used in an investigation. The hard part was cutting that safely, without guessing which logs mattered.
A customer conversation between Grepr CEO Jad Naous and Dave Bors, VP of Engineering at FOSSA, on how FOSSA cut its Datadog log volume by over 90% without losing any data or disrupting engineers.
In this fireside chat, Grepr founder Jad Naous sat down with Evan to talk about the engineering reality of running AI-intensive operations at national scale, and what happens to your observability costs when you do.
