Fast Track to Digital Transformation with 3500 VMs Migrated Through CI/CD
The Challenge
The leading American health insurance provider set out to accelerate its digital transformation through Google Cloud Platform, targeting a go-live within just six months. The challenge involved rapidly operationalizing cloud infrastructure while ensuring a seamless migration from five data centers and multi-cloud environments. The company also needed robust disaster recovery mechanisms to meet strict Recovery Point Objectives (RPO) and Recovery Time Objectives (RTO), all within a compressed timeline.
The Solution
A smooth and timely migration was achieved through the use of CI/CD pipelines and deployment-ready sample code for GKE, Dataflow, and Cloud Functions. A multi-regional compute failover system and disaster recovery framework were built to meet strict RPO and RTO goals. Within six months, 3,500 virtual machines were moved to Google Cloud Platform, ensuring full operational readiness. The approach supported a rapid go-live while laying the foundation for greater scalability, reliability, and long-term business continuity in line with digital transformation efforts.
The Result
Optimized Resource Management: Migrated 3,500 VMs from data centers, AWS, and Azure to Google Cloud, reducing infrastructure complexity and costs.
Robust Disaster Recovery: Implemented multi-regional and failover design, meeting strict RPO/RTO targets for resilience.
Automated Deployment: Used CI/CD pipelines and sample code for seamless deployment on GKE, Dataflow, and Cloud Functions, boosting efficiency.
Scalable Infrastructure: Designed scalable cloud architecture to support growth, ensuring long-term operational efficiency and flexibility.
Fast Track to Digital Transformation with 3500 VMs Migrated Through CI/CD
The Challenge
The leading American health insurance provider set out to accelerate its digital transformation through Google Cloud Platform, targeting a go-live within just six months. The challenge involved rapidly operationalizing cloud infrastructure while ensuring a seamless migration from five data centers and multi-cloud environments. The company also needed robust disaster recovery mechanisms to meet strict Recovery Point Objectives (RPO) and Recovery Time Objectives (RTO), all within a compressed timeline.
The Solution
A smooth and timely migration was achieved through the use of CI/CD pipelines and deployment-ready sample code for GKE, Dataflow, and Cloud Functions. A multi-regional compute failover system and disaster recovery framework were built to meet strict RPO and RTO goals. Within six months, 3,500 virtual machines were moved to Google Cloud Platform, ensuring full operational readiness. The approach supported a rapid go-live while laying the foundation for greater scalability, reliability, and long-term business continuity in line with digital transformation efforts.
The Result
Optimized Resource Management: Migrated 3,500 VMs from data centers, AWS, and Azure to Google Cloud, reducing infrastructure complexity and costs.
Robust Disaster Recovery: Implemented multi-regional and failover design, meeting strict RPO/RTO targets for resilience.
Automated Deployment: Used CI/CD pipelines and sample code for seamless deployment on GKE, Dataflow, and Cloud Functions, boosting efficiency.
Scalable Infrastructure: Designed scalable cloud architecture to support growth, ensuring long-term operational efficiency and flexibility.
