Case Study: Migration and replatform of on-prem infrastructure and applications to Google Cloud

About Client

One of largest retail chain company in US with a speciality of organizing solutions, custom spaces, and in-home services.

Problem Statement

Our client had several offline stores and an Ecommerce platform running on on-premises infrastructure and legacy applications and services. Key objectives included:

• • Cloud Migration Strategy: Develop a comprehensive plan to migrate existing infrastructure and applications from on-premises to Google Cloud.
• • Microservices Architecture: Design a robust architecture that supports microservices-based applications on GCP.
• • Scalability and High Availability: Ensure the infrastructure can handle high traffic volumes and maintain consistent performance.
• • CI/CD Pipelines: Implement efficient and secure CI/CD pipelines for continuous development, testing, and deployment.
• • Monitoring and Observability: Provide comprehensive monitoring and observability tools to track system health and performance.
• • High Traffic Handling: Manage high traffic volumes without disruptions or downtime.
• • Data Security: Implement robust security measures to protect data transactions and storage.
• • Microservices Management: Monitor and maintain the health and performance of microservices.
• • Infrastructure Automation: Automate infrastructure provisioning and management to reduce manual errors and improve efficiency.

Solution

CloudTechner employed a comprehensive approach to cloud implementation, security, automation, and operations, leveraging Site Reliability Engineering (SRE) practices. By harnessing the power of Google Cloud Platform, coupled with using Kubernetes, Kafka & Terraform, we architected a resilient and scalable infrastructure. Our solution incorporated Google Secrets Manager, DNS, GitLab, MongoSync etc. to ensure optimal performance and security.

• • Comprehensive Cloud Migration: Employed a six Rs approach to effectively migrate the client's infrastructure and applications to Google Cloud.
• • GCP Leverage: Utilized Google Cloud Platform, including GKE, Anthos Service Mesh, and Cloud Build, to enhance agility and cost-efficiency.
• • Microservices Deployment: Leveraged GKE with Autopilot for automated deployment and management of microservices applications, ensuring high availability and scalability.
• • CI/CD Automation: Implemented CI/CD pipelines using GitHub actions with dynamically provisioned runners on GKE for efficient software delivery.
• • Robust Monitoring: Employed Cloud Logging and Cloud Monitoring for comprehensive application performance and infrastructure health monitoring.
• • Deployment Automation: Integrated GitHub actions with Octopus Deploy for automated Kubernetes deployments and deployment dashboards.
• • Infrastructure Automation: Utilized Terraform to automate infrastructure provisioning and management, reducing manual errors and accelerating deployment.
• • Enhanced Security: Implemented a secure organizational structure, network design, and cloud best practices to protect sensitive data.

Results

CloudTechner successfully migrated a legacy e-commerce platform to Google Cloud, delivering significant cost savings, improved performance, enhanced scalability, and streamlined operations through automation and best practices.

• • Significant Cost Savings: Successfully migrated from expensive on-premises infrastructure to Google Cloud, resulting in annual cost savings of approximately USD 50K.
• • Optimized Resource Utilization: Efficiently utilized GCP services and automation to reduce operational costs and maximize resource utilization.
• • Accelerated Development: Streamlined CI/CD pipelines, significantly reducing deployment times and improving development speed. Achieved end-to-end automation, from infrastructure provisioning to application deployment.
• • Exceptional Uptime: Delivered a highly available and scalable system with a 99.99% uptime rate, ensuring uninterrupted service.
• • Enhanced Observability: Implemented comprehensive monitoring with GCP Cloud Logging and Cloud Monitoring, enabling proactive issue resolution and optimized performance.
• • Transparent Deployments: Provided deployment dashboards to visualize version history for over 200 microservices across multiple environments, improving visibility and accountability.