Three engineers, two products, 82M users — signals stitched by hand. AI now delivers root causes before they open their laptops.
The world's #1 alarm app by downloads, with 82 million users across 97 countries and a companion B2B ad platform together generating over $50 million in annual revenue, all managed by a platform team of two to three engineers.
A consumer alarm app and a latency-sensitive ad platform share infrastructure but have fundamentally different traffic patterns, Alarmy following...
“We run a global product with just a few engineers, and Datadog with Bits AI lets us scale operations without scaling the team.”
Mobile app developer specializing in alarm and morning wellness applications.
Observability and security platform for cloud-scale monitoring and analytics.
Delightroom's Incident response is part of this use case:
Related implementations across industries and use cases
A small team manually investigated alerts across 35 AWS accounts. Now, engineers use AI chat to instantly pinpoint system anomalies.
Midnight alerts meant engineers tracing logs for hours. Now Clank pinpoints root causes and opens a PR before they're out of bed.
Finding root cause meant stitching logs, traces, and metrics by hand during incidents. Now AI surfaces the hypothesis; engineers verify.
Analysts spent days building reports from slow, siloed tools. Now, they ask a question and an AI agent instantly generates an accurate chart.
Manual testing left engineers prioritizing fixes by intuition. Now, an AI classifier calculates error impact to target critical updates.
Surging calls caused long holds and overtime. A 24/7 AI voice agent handles routine payroll, freeing 700 HR partners for advisory work.
Keyword bots bottlenecked 100 agents supporting millions. Now, AI resolves FAQs, freeing staff to mine chat logs for product feedback.
Manual alert triage overwhelmed analysts. Now, AI resolves 80% of threats autonomously, freeing teams for proactive threat hunting.
Finding root cause meant stitching logs, traces, and metrics by hand during incidents. Now AI surfaces the hypothesis; engineers verify.
Three engineers, two products, 82M users — signals stitched by hand. AI now delivers root causes before they open their laptops.
The world's #1 alarm app by downloads, with 82 million users across 97 countries and a companion B2B ad platform together generating over $50 million in annual revenue, all managed by a platform team of two to three engineers.
A consumer alarm app and a latency-sensitive ad platform share infrastructure but have fundamentally different traffic patterns, Alarmy following...
“We run a global product with just a few engineers, and Datadog with Bits AI lets us scale operations without scaling the team.”
Mobile app developer specializing in alarm and morning wellness applications.
Observability and security platform for cloud-scale monitoring and analytics.
Delightroom's Incident response is part of this use case:
Related implementations across industries and use cases
A small team manually investigated alerts across 35 AWS accounts. Now, engineers use AI chat to instantly pinpoint system anomalies.
Midnight alerts meant engineers tracing logs for hours. Now Clank pinpoints root causes and opens a PR before they're out of bed.
Finding root cause meant stitching logs, traces, and metrics by hand during incidents. Now AI surfaces the hypothesis; engineers verify.
Analysts spent days building reports from slow, siloed tools. Now, they ask a question and an AI agent instantly generates an accurate chart.
Manual testing left engineers prioritizing fixes by intuition. Now, an AI classifier calculates error impact to target critical updates.
Surging calls caused long holds and overtime. A 24/7 AI voice agent handles routine payroll, freeing 700 HR partners for advisory work.
Keyword bots bottlenecked 100 agents supporting millions. Now, AI resolves FAQs, freeing staff to mine chat logs for product feedback.
Manual alert triage overwhelmed analysts. Now, AI resolves 80% of threats autonomously, freeing teams for proactive threat hunting.
Finding root cause meant stitching logs, traces, and metrics by hand during incidents. Now AI surfaces the hypothesis; engineers verify.