Cloud Infrastructure

Multi-Cloud Infrastructure Setup for Global Enterprise

Comprehensive multi-cloud strategy ensuring 99.9% uptime and global scalability

99.9%
Uptime
3
Cloud Providers
50%
Cost Optimization
15
Global Regions

Business Challenge

A global enterprise needed a robust, scalable cloud infrastructure that could handle massive traffic spikes, ensure business continuity, and provide optimal performance across multiple geographic regions while maintaining cost efficiency.

Infrastructure Challenges:

  • • Single cloud provider dependency risk
  • • Regional performance inconsistencies
  • • Limited disaster recovery capabilities
  • • Inability to leverage best-of-breed services
  • • Cost optimization across different workloads
  • • Compliance requirements in multiple jurisdictions

Our Multi-Cloud Solution

We designed and implemented a comprehensive multi-cloud architecture spanning AWS, Azure, and Google Cloud Platform, with intelligent workload distribution and automated failover capabilities.

Multi-Cloud Strategy:

  • • Strategic workload placement across three major cloud providers
  • • Automated disaster recovery and failover mechanisms
  • • Global load balancing and traffic routing
  • • Unified monitoring and management platform
  • • Cost optimization through intelligent resource allocation
  • • Compliance-aware data placement and governance

Cloud Provider Allocation

AWS (Primary)

  • • Core application hosting
  • • Database services
  • • API gateway management
  • • Global CDN

Azure (Secondary)

  • • Disaster recovery site
  • • AI/ML workloads
  • • Active Directory integration
  • • Backup services

GCP (Specialized)

  • • Big data analytics
  • • Machine learning pipelines
  • • Container orchestration
  • • Real-time processing

Results & Impact

Infrastructure Outcomes:

  • • 99.9% uptime achieved across all services
  • • 50% cost optimization through strategic placement
  • • 75% faster global response times
  • • Zero data loss during failover scenarios
  • • 40% reduction in vendor lock-in risk
  • • 100% compliance across all regions

Before Multi-Cloud

  • • Single point of failure
  • • Regional performance issues
  • • Limited disaster recovery
  • • Higher operational costs

After Implementation

  • • Distributed redundancy
  • • Optimized global performance
  • • Automated disaster recovery
  • • Cost-optimized operations

Project Details

Industry
Global Enterprise
Scale
Multi-National
Project Type
Multi-Cloud Architecture
Duration
12 months

Technologies Used

AWSMicrosoft AzureGoogle CloudTerraformKubernetesDockerPrometheusGrafana

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