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CASE STUDY

Zero-Downtime Cloud Migration for Manufacturing

Migrating 200+ mission-critical applications to cloud while maintaining 24/7 manufacturing operations across 30 global factories.

Situation

A global manufacturing company with 30 factories worldwide needed to modernize their IT infrastructure. Their on-premises data centers were aging, expensive to maintain, and couldn't scale to meet growing business demands. However, manufacturing operations ran 24/7, making traditional "big bang" migrations impossible. Any downtime costs $50K+ per hour.

Solution

A phased migration strategy leveraging hybrid cloud architecture with intelligent load balancers, real-time data replication, and automated failover mechanisms. Applications were migrated in 15 waves over 12 months, with gradual traffic shifting and automated rollback capabilities. Infrastructure as code and GitOps workflows enabled consistent, repeatable deployments.

OUTCOMES

200+
applications migrated successfully
0 hours
unplanned downtime
40% reduction
in total cost of ownership
60% faster
application response times
Multi-region
failover capabilities
3x faster
time-to-market for new features

Challenges

Operations

  • Zero downtime requirement – $50K+ per hour
  • 24/7 manufacturing operations
  • Limited maintenance windows
  • Complex application dependencies

Technical

  • 200+ applications to migrate
  • Legacy systems 15+ years old
  • Poor documentation
  • Application interdependencies

Compliance

  • Data sovereignty requirements
  • Manufacturing data must remain in region
  • Regulatory compliance across markets

Risk

  • High business impact of failure
  • Limited rollback windows
  • Production environment testing constraints

Solutions

01

Assessment & Planning

We conducted comprehensive application discovery and dependency mapping to understand the entire portfolio. Each application was assessed for migration readiness and assigned to waves based on risk and dependencies.

Key activities included:

The assessment phase took 2 months and provided a clear roadmap for the migration.

  • Application discovery and dependency mapping
  • Risk assessment and prioritization
  • Migration wave planning based on dependencies
  • Cost modeling and optimization opportunities
02

Hybrid Cloud Foundation

A secure hybrid cloud architecture was established to enable seamless connectivity between on-premises and cloud environments.

Core infrastructure included:

This foundation enabled applications to operate across both environments during the migration.

  • Secure connectivity between on-premises and cloud (AWS and Azure)
  • Landing zones with standardized networking and security
  • Identity federation for unified access
  • Disaster recovery architecture
  • Hybrid cloud architecture
  • Multi-cloud deployment
  • Infrastructure as Code
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03

Smart Traffic Routing & Failover

Intelligent load balancers enabled gradual traffic shifting from on-premises to cloud with automated rollback capabilities.

Traffic management features:

This approach eliminated the need for "big bang" cutovers and minimized risk.

  • Gradual traffic shifting (10% → 50% → 100%)
  • Automated rollback on anomaly detection
  • Blue-green deployment for critical systems
  • Real-time health monitoring
04

Data Replication & Sync

Real-time database replication ensured data consistency across environments during the migration.

Implementation details:

  • Real-time database replication
  • Eventual consistency model for non-critical data
  • Automated failover with <2 second RPO
  • Data validation checkpoints
05

Automation & Self-Service

Infrastructure as code and GitOps workflows enabled consistent, repeatable deployments across all 15 migration waves.

Automation capabilities:

Application teams could initiate migrations through self-service tooling with automated validation and rollback.

  • Infrastructure as Code (Terraform)
  • GitOps-based deployment workflows
  • Automated testing pipeline
  • Self-service migration tooling for application teams
  • IaC with Terraform
  • GitOps workflows
  • Kubernetes orchestration
  • Self-service tooling