Use case

Seamless GCP to AWS Migration for Improved Performance and Cost Efficiency

About the Customer

SpaceFlow is the developer of a GenAI visualization platform used in real estate space planning. This platform employs generative AI to automate the creation of space layouts, integrating architectural data and best practices to quickly generate multiple optimized designs and 3D visualizations. It’s designed to speed up decision-making for architects, brokers, and landlords by allowing them to input design criteria and receive various layout options. The platform’s use of geometrical optimization engines and parallel cloud computing facilitates the production of numerous AI-generated designs, aiming to streamline space planning while considering regulatory compliance, cost efficiency, and space utilization.

Customer Challenge

SpaceFlow faced the challenge of managing a split infrastructure, with their application servers hosted on GCP VM instances, while storage and database resources like S3 and RDS were provisioned in AWS. The impending exhaustion of GCP credits prompted the need to consolidate the infrastructure into a single cloud provider. Their goal was to improve manageability, cost-effectiveness, security, and operational efficiency while maintaining separate environments for development, staging, and production.

The challenge included ensuring minimal downtime during the migration, optimizing performance, improving security, and achieving better cost management.

Solution

IAMOPS designed and implemented a new architecture based on the AWS Well-Architected Framework. Key components of the solution included:

  • Migration Planning: A detailed migration plan was created to outline steps for transitioning services from GCP to AWS. The plan prioritized minimal downtime and data integrity.
  • AWS Well-Architected Framework: The solution was based on AWS best practices for security, reliability, cost optimization, and performance efficiency. AWS services used included VPC for private networking, Application Load Balancers (ALBs), EC2 instances for computing, RDS databases, ElastiCache for Redis, S3 for storage, Lambda functions for serverless tasks, CloudFront, and Amazon CloudWatch for monitoring.
  • Access Controls and Security Audits: IAM roles and policies were implemented to enforce least-privilege access, and thorough security audits were conducted to mitigate vulnerabilities. AWS GuardDuty and AWS Config were also configured for continuous threat detection and compliance.
  • Cost Monitoring and Optimization: AWS Cost Explorer and Compute Optimizer were used to monitor and control expenses, with strategies such as right-sizing resources applied to optimize costs.
  • Post-Migration Testing and Monitoring: Performance tests were conducted to validate the AWS setup, and optimizations were applied based on usage patterns. Robust monitoring using Amazon CloudWatch for managed AWS services and Grafana for the application provided real-time visibility into resource performance.

Semantic Release Workflow

Results & Benefits

The migration resulted in the following key outcomes for SpaceFlow:

  • High Availability: Using load balancers, EC2 instances, and managed services like RDS and ElastiCache ensured high availability and fault tolerance. By deploying these resources within a Virtual Private Cloud (VPC) that spanned multiple Availability Zones (AZs), resilience against potential failures was further enhanced.
  • Improved Security: The use of a Virtual Private Cloud (VPC), security groups, and AWS’s built-in security services such as Security Hub and GuardDuty significantly improved the security posture of SpaceFlow’s infrastructure.
  • Scalability: The infrastructure enabled scalable resources, ensuring that workloads could be handled efficiently as demand increased for critical components and RDS database storage.
  • Cost Optimization: By leveraging managed services and tools like AWS Compute Optimizer, SpaceFlow was able to reduce operational overhead and optimize infrastructure costs.
  • Performance Efficiency: Continuous monitoring and optimization ensured the architecture delivered high performance while meeting business needs.

About IAMOPS

IAMOPS is a full DevOps suite company that supports technology companies to achieve intense production readiness.

Our mission is to ensure that our clients’ infrastructure and CI/CD pipelines are scalable, mitigate failure points, optimize performance, ensure uptime, and minimize costs.

Our DevOps suite includes DevOps Core, NOC 24/7, FinOps, QA Automation, and DevSecOps to accelerate overall exponential growth.

As an AWS Advanced Tier Partner and Reseller, we focus on two key pillars: Professionalism by adhering to best practices and utilizing advanced technologies, and Customer Experience with responsiveness, availability, clear project management, and transparency to provide an exceptional experience for our clients.

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