Enterprise ITOM Platform
A major financial institution needed better visibility into their hybrid cloud infrastructure. They had servers, applications, and services spread across AWS, Azure, and on-premise data centers, but no unified view. When incidents occurred, it took hours to identify root causes.
What We Were Up Against
The client faced several critical challenges that required innovative solutions.
No automated discovery meant 30% of infrastructure was undocumented
Service dependencies were unknown, causing cascading failures during outages
Event storms from monitoring tools created 5000+ alerts daily, most false positives
Incident teams spent 2-3 hours manually correlating events to find root causes
How We Solved It
We deployed ServiceNow Discovery to automatically map the entire infrastructure. Then we built service maps showing dependencies between applications, servers, and network devices. We integrated event management to correlate alerts and reduce noise. The platform uses machine learning to identify patterns and predict potential issues.
What We Built
Automated discovery of 15,000+ CI items across cloud and on-premise
Built service maps for 200+ critical business services
Integrated with Nagios, Splunk, and Datadog to centralize event management
Created correlation rules reducing alert volume by 85%
Built predictive analytics dashboard showing infrastructure health trends
Measurable Outcomes
Real metrics that demonstrate the impact of our work
Infrastructure visibility increased from 70% to 98%
Mean time to identify root cause reduced from 3 hours to 25 minutes
False positive alerts dropped from 4500/day to 200/day
Proactive issue detection prevented 12 major outages in first quarter
Technologies & Tools
The tech stack we used to build this solution
"We finally have a complete picture of our infrastructure. The service maps alone have saved us countless hours during incidents."
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