CUSTOMER PROFILE
- Customer
- Premier Global Logistics & Supply Chain Provider
- Industry
- Freight & Logistics
- Region
- France (Global Scope)
170
Countries in the customer's global network
3,900
Virtual machines assessed across four datacenters
100
Target VMs migrated into Google Cloud Platform
Project Overview:
The project encompassed the end-to-end discovery and assessment of 3,900 virtual machines distributed across four global data centers, followed by the zero-downtime “Lift-and-Shift” migration of 100 targeted VMs into Google Cloud Platform (GCP). The mandate required disk-level storage visibility, automated validation of shared VMware Raw Device Mapping (RDM) disk configurations, cluster resource dependency mapping, application layer protocol classification, and proxy-restricted Google Secret Manager integration.
SOLUTION APPROACH
Automated Storage Analytics
Deployed native platform reporting engines to extract granular, disk-level storage metrics into actionable assessment deliverables.
Shared RDM Configuration Discovery
Automatically discovered and validated VMware shared RDM disk configurations to ensure precise move-group planning.
Integrated Cluster Mapping
Captured VMware cluster resource metrics within the primary infrastructure scan to establish clear workload boundaries.
Unified Dashboard Data Exports
Provided comprehensive offline export options across Preflight, Scan, and Extended scan phases via the MaaS dashboard.
Interactive Grid Navigation
Enabled column-level filter icons across estate waves to accelerate server isolation and wave assessment workflows.
Traffic Intelligence & Proxy Security
Exported communication reports detailing application protocols and internal/external traffic rules, while enabling connectivity for Google Secret Manager.
Accelerated Infrastructure Discovery & VMware Cloud Migration for Global Logistics
CUSTOMER BACKGROUND
A top-five global logistics provider operating across 170 countries delivers comprehensive end-to-end supply chain, contract logistics, and multi-modal freight solutions. Operating a highly distributed hybrid IT environment across four global data centers, the company needed to evaluate its extensive VMware server estate to optimize performance, map hidden storage dependencies, and establish a data-backed foundation for targeted cloud adoption into Google Cloud Platform (GCP).
Key Challenges:
Storage & Disk Visibility
Capturing granular disk-level storage insights across four datacenters to ensure accurate capacity planning for each facility.
Shared RDM Disk Complexity
Identifying undocumented VMware workloads utilizing shared RDM disks to prevent migration design flaws and rework.
Cluster Dependency Blindspots
Extracting VMware cluster resource data to understand shared storage boundaries and workload dependencies.
Offline Estate Data Access
Consolidating full preflight and extended scan datasets into downloadable offline formats for cross-functional technical analysis.
Grid Navigation at Scale
Providing intuitive UI filtering across large server estate grids to streamline move-group navigation within target waves.
Network & Security Boundaries
Identifying application-layer protocols, separating internal versus external traffic, and maintaining proxy compliance for secret management.
Strategic Value Delivered
Multi-DC Estate Visibility
Rapidly evaluated 3,900 VMs across four global data centers, providing unified inventory clarity.
Shared-Disk Risk Mitigation
Isolated VMware RDM configurations early, eliminating migration design gaps and unexpected rework.
Offline Analysis Efficiency
Streamlined stakeholder reviews by providing single-click dashboard exports across all scan phases.
Targeted GCP Modernization
Executed a zero-friction migration of 100 targeted VMs into GCP on schedule.
Network Security Alignment
Prioritized external communication boundaries and traffic intent without intrusive scanning on non-target servers.
Proxy-Compliant Security
Integrated Google Secret Manager seamlessly within proxy restricted environments without altering network access policies.
