Cloud Migration & Infrastructure Modernization on GCP
Financial Services
2025
Project Overview
A leading financial services organization initiated a cloud transformation program to modernize its infrastructure and enhance agility. The focus was to migrate critical workloads from on-premises to Google Cloud Platform (GCP), while maintaining secure, high-performance connectivity with existing systems.
Business Challenge
Legacy Infrastructure: High maintenance costs, limited scalability, and long provisioning cycles.
Connectivity Gaps: Secure, low-latency connections between cloud and on-prem were essential for hybrid workloads.
Modernization Needs: Faster application delivery, adoption of automation, and optimized infrastructure usage.
Objectives
Migrate Critical Workloads to GCP – Transition legacy on-premises systems to a scalable, secure cloud environment.
Modernize Infrastructure – Replace outdated infrastructure with cloud-native services to enhance performance and agility.
Enhance Connectivity – Establish secure, low-latency hybrid connectivity between on-premises and GCP environments.
Increase Operational Efficiency – Automate provisioning, configuration, and deployments using Terraform, Chef, and Jenkins.
Solution Delivered
Our team designed and implemented an enterprise-grade solution leveraging GCP services and automation tools.
Highlights:
Compute: GCP Compute Engine for elastic virtual machines.
Storage: Cloud Storage for objects, Cloud SQL for managed databases.
Networking: Hybrid connectivity using VPC peering and VPN tunnels.
Automation: Terraform for IaC, Chef for configuration management.
CI/CD: Jenkins pipelines to automate builds, testing, and deployments.
Key Outcomes
Implementation Details
Provisioned infrastructure through Terraform blueprints, ensuring consistency and rapid deployment.
Automated system configurations and compliance checks with Chef recipes.
Established end-to-end CI/CD workflows via Jenkins for faster release cycles.
Benefits Realized
30% Cost Savings through optimized resource utilization and pay-as-you-go pricing.
40% Faster Deployment Cycles due to IaC and CI/CD automation.
Enhanced Reliability with secure hybrid connectivity ensuring seamless data flows.
Scalability on Demand, allowing the business to adjust compute/storage dynamically.
Future Roadmap
Expansion of cloud adoption with additional workloads.
Adoption of AI/ML and advanced analytics on GCP.
Further enhancement of security posture and DevSecOps practices.
Conclusion
The transformation delivered a robust foundation for innovation, agility, and cost efficiency. The organization is now equipped to accelerate digital growth, optimize operations, and leverage emerging GCP services for strategic advantage.
Service Type: Cloud Migration and Infrastructure Modernization