1st Floor New World.
+880 320 432 242
example@example.com
Services
Cloud
Cloud Migration
Mainframe Modernization
SAP on Cloud
Cloud FinOps
Cloud Security
Platform Engineering
Cloud Managed Services
Cloud Advisory & SME Services
Cybersecurity
CIAM
Workforce Identity
Security Engineering
Zero Trust Architecture
Governance, Risk Management & Compliance
Cyber Defense & Investigation
Cyber Advisory
Cyber Resilience
Digital Services
Full Stack - Web
Mobile App Development
Apps Support & Maintenance
Hyperautomation
DevSecOps & Automation
SRE & Chaos Engineering
Services & Back-End Development
Design & Architecture
UI/UX & Front-End Dev
Quality Engineering & Assurance
Blockchain
Distributed Trust
Ethereum
Hyperledger
dApps
NFT
IPFS
Enterprise & SaaS Solutions
SAP
ServiceNow
Salesforce
Workday
Oracle
Adobe
Sitecore
Data & Analytics
Internet of Things (IoT)
AI , NLP
Computer Vision
Speech
ML, MLOps
Data Science
Analytics
Reports
Big Data , Data Lake
Data Fabric
Managed Services
Security Management
Site Reliability Engineering
Monitoring & Maintenance
Help Desk / End User Compute
Cloud Services
Vendor Management
Quality Engineering
QA Consulting & Strategy
Agile Testing
Independent Certification
Managed Testing Services
Products
VGO™
VEngage
V-Validate
Solutions
dM+
dMPS
dxM
dZEN
Insights
Blogs
Case Studies
Events
Company
About Us
Awards
Partners
Careers
Contact us
Services
Cloud
Cybersecurity
Digital Services
Quality Engineering
Managed Services
Enterprise & SaaS Solutions
Blockchain
Data & Analytics
Products
VGO™
VEngage
V-Validate
Solutions
dM+
dMPS
dxM
dZEN
Insights
Blogs
Case Studies
Events
Company
About us
Awards
Partners
Careers
Contact us
Insights
»
Case Studies
»
Cloud Migration
Sunset on-premise Data Center with Location Change
Lift-shift and reshape on AWS to meet agility needs
Global Auto Manufacturer
Challenge
Client has planned movement of head quarters and datacenter facilities from California to Texas.
Datacenter in California hosted various digital workloads on virtualized environments which was planned to be moved to AWS cloud.
Applications were horizontally and vertically scaled across VMs which made mapping and dependency analysis complex.
Hard decommission dates were set to save real estate cost.
Solution
Collected data across VMs, applications, dependencies, and impacted systems.
Developed a program to analyze the move groups and arrive an optimal wave plan for application teams.
Prioritized program plan by piloting one new tech stack in each wave.
Multiskilled factory team worked with application teams and consumers to migrate and cutover.
Technologies
Benefits
110 applications across 12 variety of tech stacks migrated in 1 year.
Traceability into move groups and dependencies gave stakeholders closer to actual ETA and were able to accurately budget. expenditure in advance
50% Cost reduction for infrastructure spend after moving to cloud.
Migration Planned dates close to actuals in 90% cases.
Low operational overheads and team agility improved in 15 months.