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Designed, deployed and migrated enterprise workloads to AWS for a global pharmaceutical & life sciences company
Microland Client is a global integrated pharmaceutical company offering a wide range of products and services to customers across 85 countries and has 8,000+ employees. The business is organized as Specialty Pharmaceuticals, Contract Development Manufacturing Organization (CDMO) and Generics
▲ Identified potential savings > 40% in 3 years
▼ Application availability of 99.9% with 25% reduced management efforts
- High TCO (CAPEX, maintenance, labor costs and other operational costs) to maintain On-Premise Datacenter for both its modern and legacy applications
- Skills and experience to determine the right cloud for migrating their workload and planning the roadmap for moving to public cloud
- Customer has ambitious plans to reduce the DC footprint and promote green initiatives
- Leveraged its tried and tested Now2Cloud cloud readiness assessment framework to assess each workload on Microland’s Cloud Readiness Index for 120 on-premise applications to be moved to cloud
- Performed IT Infrastructure and operations analysis covering compatibility, costs, security, performance and manageability requirements of each workload
- Performed TCO comparisons based on a High-Level Cloud Architecture on AWS and prepared a aggressive time bound migration roadmap
- Performed PoCs of modern /legacy applications to AWS to determine the practical challenges and Migrated all critical workloads to AWS
Cloud Migration Roadmap: High-level Target Cloud Architecture and migration roadmap to AWS
TCO Analysis: With TCO projections & benefit analysis, identified potential savings > 40% in 3 years
Availability, Security & Manageability: Through PoCs, workload performance benchmarking & analysis, demonstrated application availability of 99.9% with 25% reduced management efforts by leveraging automation
Minimal Downtime and Zero Data loss Migration: Migrated Business Critical workloads with 20+TB data leveraging automation with zero data loss and <15 mins cutover time
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