Infrastructure Visibility Optimization

• Hybrid Discovery Implementation utilizing both Agent Client Collector (ACC) and agentless mechanisms.
• Regional MID Server Deployment to navigate complex global network architectures.
• End-to-End Virtualization Visibility across vCenters, ESXi hosts, and virtual machines.

Managing a sprawling IT landscape across multiple geographic regions requires absolute clarity and a real-time understanding of infrastructure health. A prominent healthcare organization recognized the need to move beyond fragmented, manual inventory tracking to a centralized ITOM Cloud Discovery and CMDB strategy. The goal was to establish a reliable, automated discovery pipeline for Windows and Linux servers while ensuring comprehensive visibility into virtualized environments.

To achieve this, the organization launched a strategic ITOM initiative to standardize discovery methods and stabilize the CMDB, focusing on:

• Implementing Agent-Based Discovery via ACC to ensure deep, persistent visibility into server workloads.
• Deploying Regional MID Servers to overcome network latency and meet diverse business and security requirements.
• Closing Discovery Gaps by troubleshooting missing or non-discovered assets and implementing fallback agentless methods.

The organization faced significant hurdles in maintaining an accurate representation of its global infrastructure. The absence of a unified discovery mechanism led to several operational risks:

• Fragmented Inventory Tracking: Infrastructure data was scattered across regions, making it difficult to maintain a "single source of truth" within the CMDB.
• Inconsistent Discovery Coverage: Many Windows and Linux servers remained "dark," either due to network restrictions or the lack of a standardized agent/agentless strategy.
• Virtualization Blind Spots: The lack of automated vCenter discovery meant that thousands of VMs and ESXi hosts were being managed without real-time configuration data.
• Manual Operational Overhead: IT teams were forced to manually reconcile inventory records, leading to high error rates and delayed response times for infrastructure issues.

The implementation team delivered a multi-faceted ITOM solution designed to automate the discovery lifecycle and enhance CMDB accuracy across the enterprise. Key technical pillars included:

• Unified Server Discovery: Enabled automated discovery of Windows and Linux servers using Agent Client Collector (ACC). For environments where agents could not be deployed, a robust agentless discovery mechanism was implemented as a fallback.
• Strategic MID Server Infrastructure: Installed and configured regional MID Servers tailored to specific business and network needs. This ensured efficient data flow and minimized the impact on global network bandwidth.
• Comprehensive Virtualization Mapping: Successfully completed the discovery of vCenters, ESXi hosts, and VMs across different locations, ensuring that virtual assets are automatically tracked and mapped to their physical hosts.
• Gap Remediation & Troubleshooting: Established a rigorous process for identifying and resolving missing or failed discoveries, ensuring that the CMDB remains a reliable foundation for IT operations.
• Agile Execution: Managed the project using a ServiceNow Agile-based approach, successfully delivering 20+ user stories while demonstrating consistent progress through sprint-based milestones.

The transition to an automated, ACC-driven discovery model has transformed how the organization views and manages its global infrastructure. By centralizing visibility and stabilizing the CMDB, the enterprise achieved a more resilient and predictable IT environment.