Kubernetes-based multi-cloud orchestration system for a global logistics company, managing workloads across AWS, Azure, and GCP with automated failover.
A global logistics company needed to avoid vendor lock-in while ensuring high availability across multiple regions. Their single-cloud approach was creating risks and limiting cost optimization opportunities.
They required a multi-cloud orchestration platform that could seamlessly manage workloads across AWS, Azure, and GCP while providing automated failover and cost optimization.
Implemented Kubernetes federation across AWS EKS, Azure AKS, and Google GKE for unified workload management and orchestration.
Configured intelligent workload distribution with automated failover capabilities based on health checks and performance metrics.
Implemented dynamic workload placement based on real-time pricing and performance data across all three cloud providers.
Deployed Istio service mesh for secure cross-cloud communication, traffic management, and observability across all environments.
Achieved 99.99% availability through multi-cloud redundancy and automated failover mechanisms across three cloud providers.
Reduced cloud costs by 40% through intelligent workload placement and leveraging competitive pricing across providers.
Eliminated vendor lock-in risks while maintaining the flexibility to leverage best-of-breed services from each cloud provider.
Improved global application performance by 35% through strategic workload placement closer to end users.