CUSTOMER PROFILE
- Customer
- Premier Global Airline
- Industry
- Aviation & Travel
- Region
- Middle East
170
Destinations Served
2000
Servers Assessed
Project Overview:
The project required a deep infrastructure assessment and Azure cloud readiness evaluation covering ~2,000 Windows and Linux servers. Operating across isolated network segments, the mandate required innovative pass-through architecture using Corent Vanguard servers, rapid agentless scanning to avoid operational delays, dependency-aware wave grouping, and utilization-based Azure cost and performance modeling.
SOLUTION APPROACH
ISOLATED VANGUARD DEPLOYMENT
Conducted targeted R&D to validate pass-through feasibility using three isolated Corent Vanguard server appliances.
OPTIMIZED SCAN WORKFLOWS
Evaluated and deployed multi-Vanguard parallel scanning strategies to eliminate deep-discovery delays.
COORDINATED WAVE GROUPING
Isolated active process interdependencies to cluster interconnected components into synchronized move groups.
CRITICALITY-BASED SEQUENCING
Classified workloads by business impact and architectural complexity to build structured migration waves.
PERFORMANCE-BACKED AZURE RIGHT-SIZING
Analyzed multi-metric historical utilization data (CPU, memory, disk, network) to size target Azure resources accurately.
Data-Backed Azure Assessment & Readiness Planning for Enterprise Aviation
CUSTOMER BACKGROUND
One of the world's leading global airlines, renowned for its award-winning service and international route network connecting over 170 destinations through its premier hub in the Middle East, required a clear foundation for cloud adoption. Managing a critical, highly secure IT infrastructure supporting continuous 24/7 aviation and passenger operations, the organization needed to evaluate its enterprise server estate to de-risk its future transition to Microsoft Azure.
Key Challenges:
Isolated Network Pass-Through
Complex pass-through requirements across isolated network segments created significant barriers to comprehensive estate discovery.
Complex Dependency Mapping
Intricate application interdependencies made manual migration sequencing difficult and error-prone.
Scan Velocity & Timeline Risk
Deep agentless scanning across 2,000 servers threatened to add 40+ hours of scanning overhead to the project timeline.
Outage Risks from Missequencing
Moving application components out of sequence with their dependencies presented severe risks of service disruption.
Cloud Performance Parity Uncertainty
Lack of granular utilization history left leadership uncertain whether target Azure instances would match on-premises performance.
Strategic Value Delivered
ISOLATED NETWORK VISIBILITY
Solved network pass-through barriers to achieve full discovery across 2,000 hybrid servers.
ACCELERATED ASSESSMENT VELOCITY
Streamlined multi-Vanguard workflows to save over 40 hours of potential scan time.
ZERO-OUTAGE WAVE PLANNING
Sequenced move groups by dependency depth, eliminating application disruption risks.
PREDICTABLE EXECUTION ROADMAP
Established clear, business-criticality wave structures for seamless cloud transition.
OPTIMIZED AZURE TCO
Eliminated over-provisioning and validated performance parity using historical resource metrics.
DATA-BACKED CLOUD ALIGNMENT
Provided executive leadership with precise, de-risked Azure transition intelligence.
