"Makes observability efficient and actionable for fast-moving teams."
OneGrep helps fast-moving teams resolve incidents quickly while keeping observability costs down. It's an observability copilot that helps teams spread tribal knowledge, resolve incidents faster, and reduce observability costs
Founded by Achintya Ashok & Brian Cripe
TLDR
OneGrep is every engineer’s dedicated Observability Copilot. OneGrep helps engineers resolve incidents 10X faster and more efficiently. They do this by fine-tuning LLMs with real-time telemetry as well as knowledge bases that engineers use to operate their production systems.
Teams can deploy OneGrep on their own infrastructure or use OneGrep's cloud. If you are an engineer, they invite you to try them out! ➡️ onegrep.dev
Problem
Every engineering team struggles with observability cost bloat and incident management when they are moving fast.
Why Does This Happen?
🔨 — Engineers find it hard to instrument code effectively and they make unintentional, costly mistakes.
📲 — On-call engineers find mitigating incidents to be very difficult because it is hinged on tribal knowledge and tool know-how.
- Engineers spend 25% of their time on on-call-related work, which equates to companies spending ~$61,000 per engineer for on-call work — and that’s not including the DataDog bill.
TL;DR — Engineers struggle to find answers using observability and pay a lot for unintentional mistakes.
✅ Solution — Have your cake & eat it too
Engineers can use OneGrep to make telemetry actionable and efficient.
Here’s a 13-second example of OneGrep cutting noisy logs by 50% and saving a team thousands of dollars:
And here is an example of OneGrep helping an engineer automatically resolve an incident — ✔️ gone are the days of reading through retros, parsing logs, or pinging the entire team ⤵️
Learn More
🌐 Visit onegrep.dev to learn more
⭐️ Do your engineers wish their on-call was better? Learn how OneGrep can help
🗓️ Do you have high DataDog bills? Book a demo with OneGrep
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