ITOM best practices: a discovery and service mapping strategy that holds

The foundation of modern IT operations

ITOM has grown from simple monitoring into full visibility and control of complex hybrid estates. Two capabilities sit at its heart: Discovery and Service Mapping.

Understanding Discovery

Discovery automatically identifies and catalogs IT assets across your infrastructure. A modern setup should cover:

• ▸Physical and virtual servers
• ▸Network devices and topology
• ▸Storage systems
• ▸Cloud resources on AWS, Azure, and GCP
• ▸Applications and databases
• ▸Containers and microservices

Service Mapping essentials

Service Mapping builds on Discovery to draw the dependency picture behind each business service. That picture drives:

• ▸Impact analysis: how infrastructure changes touch business services
• ▸Incident management: faster root cause and a clear blast radius
• ▸Change management: risk assessed against real dependencies
• ▸Capacity planning: resource allocation based on actual usage

Implementation practices

1. Start with a clear strategy

Define objectives, scope, and success criteria before touching configuration. Typical goals:

• ▸95%+ CMDB accuracy
• ▸All critical business services mapped
• ▸MTTR down 50%
• ▸Automated change impact analysis

2. Follow the Common Service Data Model

CSDM is the standard for organizing service data on the platform. The key layers:

• ▸Service model: business and technical services
• ▸Application model: applications and their relationships
• ▸Infrastructure model: physical and virtual infrastructure
• ▸Product model: hardware and software products

3. Configure Discovery properly

• ▸Least-privilege credentials
• ▸Discovery windows scheduled for low impact
• ▸Throttling to protect the network
• ▸Exclusion rules for sensitive systems
• ▸Delta discovery for efficiency

4. Keep the CMDB healthy

• ▸Data quality metrics and KPIs
• ▸Automated reconciliation rules
• ▸Regular data audits
• ▸Clear ownership and accountability
• ▸CI Class Managers for governance

Advanced patterns

Pattern-based service mapping

The platform pattern library maps common architectures automatically:

• ▸Web tiers: Apache, IIS, Tomcat
• ▸Databases: Oracle, SQL Server, MySQL
• ▸Middleware: WebLogic, WebSphere
• ▸Cloud services: AWS, Azure, GCP

Custom pattern development

Proprietary applications need custom patterns. The sequence that works:

1. 01Identify entry points and connection points
2. 02Define relationships between components
3. 03Create horizontal patterns for infrastructure layers
4. 04Build vertical patterns for application stacks
5. 05Test thoroughly before production

Pitfalls to avoid

• ▸Scope creep: start focused, expand incrementally
• ▸Loose credential management: use a vault, rotate keys
• ▸Ignoring data quality: CMDB health is a day-one priority
• ▸No governance: processes and ownership must be explicit
• ▸Skipping tests: always prove patterns in non-production first

Measuring success

• ▸CMDB completeness and accuracy
• ▸Mean time to resolution
• ▸Change success rate
• ▸Service mapping coverage
• ▸Discovery frequency and completeness