With 4,000 services, manual triage couldn't keep up. AI agents now run parallel checks to pinpoint the root cause in seconds.
A global web development platform serving 300 million users runs over 4,000 microservices and processes billions of daily requests across a complex distributed environment.
User actions traverse dynamic service chains where errors can cascade, making manual root cause analysis impossible at scale. Implementing AI...
“ClickHouse was by far the fastest. Compression was excellent, and the depth of its SQL feature set exceeded what we needed.”
Cloud-based website builder and design platform for businesses and individuals.
ClickHouse is an open-source column-oriented database management system that provides real-time OLAP analytics and a managed cloud service for data warehousing, observability, and machine learning/GenAI workloads.
Wix's Incident response is part of this use case:
Related implementations across industries and use cases
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.
Blind spots in agent chains delayed debugging. Engineers now use one-click tracing to instantly pinpoint and fix errors in production.
A small team manually investigated alerts across 35 AWS accounts. Now, engineers use AI chat to instantly pinpoint system anomalies.
Engineers manually scoured dashboards to investigate alerts. Now, they query an AI agent to pinpoint root causes and surface exact fixes.
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.
With 4,000 services, manual triage couldn't keep up. AI agents now run parallel checks to pinpoint the root cause in seconds.
A global web development platform serving 300 million users runs over 4,000 microservices and processes billions of daily requests across a complex distributed environment.
User actions traverse dynamic service chains where errors can cascade, making manual root cause analysis impossible at scale. Implementing AI...
“ClickHouse was by far the fastest. Compression was excellent, and the depth of its SQL feature set exceeded what we needed.”
Cloud-based website builder and design platform for businesses and individuals.
ClickHouse is an open-source column-oriented database management system that provides real-time OLAP analytics and a managed cloud service for data warehousing, observability, and machine learning/GenAI workloads.
Wix's Incident response is part of this use case:
Related implementations across industries and use cases
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.
Blind spots in agent chains delayed debugging. Engineers now use one-click tracing to instantly pinpoint and fix errors in production.
A small team manually investigated alerts across 35 AWS accounts. Now, engineers use AI chat to instantly pinpoint system anomalies.
Engineers manually scoured dashboards to investigate alerts. Now, they query an AI agent to pinpoint root causes and surface exact fixes.
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.