Nulab
Incident response
A small team manually investigated alerts across 35 AWS accounts. Now, engineers use AI chat to instantly pinpoint system anomalies.
- Alert triage time cut from 30 mins to under 5 mins
- DDoS attack investigated in 4 minutes
10x growth fractured visibility across tools, locking workers out of salary advances during outages. AI now surfaces root causes in minutes.
A Brazilian digital financial services platform that has granted over BRL 7.3 billion in microcredit, issued 3.6 million cards, and processes more than 3.2 million transactions annually through a B2B2C model where employers provide employees with a unified card for salary advances, credit, and benefits.
After 10x growth in three years, fragmented observability tools made incidents slow to diagnose, with a global MTTR of 11 hours. Every outage creates...
“Our customers often rely on Bullla when they need fast, predictable access to funds. If the application is unstable at that moment, it creates real friction in their lives. Our responsibility is to make the technology dependable when it matters most.”
Employee credit and financial benefits platform for Brazilian companies and workers.
Observability and security platform for cloud-scale monitoring and analytics.
Bullla'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.
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.
A small team manually investigated alerts across 35 AWS accounts. Now, engineers use AI chat to instantly pinpoint system anomalies.
With 4,000 services, manual triage couldn't keep up. AI agents now run parallel checks to pinpoint the root cause in seconds.
Quarterly compliance updates meant costly reshoots. Now scripts regenerate instantly — no cameras, no vendors, no delays.
Most AI tools addressed one step—code review or a single feature—and couldn't run in-house. Factory covers the full SDLC, on-premise.
Answers scattered across hundreds of SharePoint docs drove repetitive support tickets. An air-gapped AI now surfaces them in seconds.
Each incident sent engineers hunting for context from scratch, inconsistently across teams. Edwin AI now delivers it upfront.
10x growth fractured visibility across tools, locking workers out of salary advances during outages. AI now surfaces root causes in minutes.
A Brazilian digital financial services platform that has granted over BRL 7.3 billion in microcredit, issued 3.6 million cards, and processes more than 3.2 million transactions annually through a B2B2C model where employers provide employees with a unified card for salary advances, credit, and benefits.
After 10x growth in three years, fragmented observability tools made incidents slow to diagnose, with a global MTTR of 11 hours. Every outage creates...
“Our customers often rely on Bullla when they need fast, predictable access to funds. If the application is unstable at that moment, it creates real friction in their lives. Our responsibility is to make the technology dependable when it matters most.”
Employee credit and financial benefits platform for Brazilian companies and workers.
Observability and security platform for cloud-scale monitoring and analytics.
Bullla'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.
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.
A small team manually investigated alerts across 35 AWS accounts. Now, engineers use AI chat to instantly pinpoint system anomalies.
With 4,000 services, manual triage couldn't keep up. AI agents now run parallel checks to pinpoint the root cause in seconds.
Quarterly compliance updates meant costly reshoots. Now scripts regenerate instantly — no cameras, no vendors, no delays.
Most AI tools addressed one step—code review or a single feature—and couldn't run in-house. Factory covers the full SDLC, on-premise.
Answers scattered across hundreds of SharePoint docs drove repetitive support tickets. An air-gapped AI now surfaces them in seconds.
Each incident sent engineers hunting for context from scratch, inconsistently across teams. Edwin AI now delivers it upfront.