Delightroom automates incident response and scales global operations with Datadog and Bits AI
Delightroom automates incident response and — Delightroom is a Seoul-based wellness company behind Alarmy, the world's #1 alarm app, with 82 million downloads and users across 97 countries. With a compact platform team responsible for a global consumer app and a B2B ad-tech platform running on shared infrastructure, Delightroom needed a unified observability to improve the time from detection to re ↓ 50% MTTR Faster incident investigation with Bits AI ↑ 50% L1 re was connecting them into a single, actionable view,” says Kim.
- Agent or tool
- Datadog Bits AI
- Topic
- DevOps & Infra
- Reported on
- Case study (Datadog)
- Added
- 2026-11-12
Why it matters
Keeping servers and pipelines healthy is constant, detail-heavy work. Agents that can read logs and run routine fixes are a big help, as long as a person keeps an eye on what changes. It is one of 130 sightings filed under DevOps & Infra on Agent Sightings (number 11 by interest), and one of 2 involving Datadog Bits AI.
How you could try it
Here is a reusable prompt, written by us in our own words, that captures the task. Paste it into Datadog Bits AI or any similar agent and adjust the details to your situation.
I want an agent to investigate and propose a fix, and to wait for approval before changing production. The tool in the source case was Datadog Bits AI.
Tip: Try it first on a staging system or with read-only credentials, and require approval for anything that changes production.
Source
Read the original first-hand account on Case study (Datadog): https://datadoghq.com/case-studies/delightroom. Our summary is a paraphrase; details are in the source.
Featured in these guides
Built an AI agent? Feature your agent on Agent Sightings, free submission or a featured spot.