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Project Dossier // 2023

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.

Client Entity

Global Financial Services

Core Tech Stack

ServiceNow ITOM

Lifecycle

6 months

Classification

ServiceNow - ITOM

Global Availability

Multi-Region

Enterprise ITOM Platform
Asset_Src: 0x88.23
Link_Status: Active

Res_ID

BFS-PROJ-165495

Arch_Level

L4_Enterprise

ServiceNow ITOM Discovery Service Mapping Event Management Cloud Management Orchestration

01. The Requirement

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

02. The Solution

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.

  • 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
System Gain
70%

Infrastructure visibility increased from 70% to 98%

System Gain
3

Mean time to identify root cause reduced from 3 hours to 25 minutes

System Gain
4500

False positive alerts dropped from 4500/day to 200/day

System Gain
12

Proactive issue detection prevented 12 major outages in first quarter

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