A small team manually investigated alerts across 35 AWS accounts. Now, engineers use AI chat to instantly pinpoint system anomalies.
A collaboration software provider supporting over four million users and 15,000 organizations relies on a core platform spanning 50 services, 1,500 containers, and 35 AWS accounts.
A small Site Reliability Engineering team struggled with the cognitive load of monitoring an increasingly complex infrastructure. Routine...
“Bits AI SRE is not just automation. It fundamentally changes how we approach incident response and reliability as a team.”
Team collaboration and project management software suite.
Observability and security platform for cloud-scale monitoring and analytics.
Nulab's Incident response is part of this use case:
Related implementations across industries and use cases
Three engineers, two products, 82M users — signals stitched by hand. AI now delivers root causes before they open their laptops.
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.
With 4,000 services, manual triage couldn't keep up. AI agents now run parallel checks to pinpoint the root cause in seconds.
Fragmented tools kept analysts chasing alerts until midnight. Now, AI agents resolve routine cases so teams work standard hours.
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.
A small team manually investigated alerts across 35 AWS accounts. Now, engineers use AI chat to instantly pinpoint system anomalies.
A collaboration software provider supporting over four million users and 15,000 organizations relies on a core platform spanning 50 services, 1,500 containers, and 35 AWS accounts.
A small Site Reliability Engineering team struggled with the cognitive load of monitoring an increasingly complex infrastructure. Routine...
“Bits AI SRE is not just automation. It fundamentally changes how we approach incident response and reliability as a team.”
Team collaboration and project management software suite.
Observability and security platform for cloud-scale monitoring and analytics.
Nulab's Incident response is part of this use case:
Related implementations across industries and use cases
Three engineers, two products, 82M users — signals stitched by hand. AI now delivers root causes before they open their laptops.
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.
With 4,000 services, manual triage couldn't keep up. AI agents now run parallel checks to pinpoint the root cause in seconds.
Fragmented tools kept analysts chasing alerts until midnight. Now, AI agents resolve routine cases so teams work standard hours.
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.