AWS Migration and CI/CD Automation for a B2B Software Company
Challenge
The existing Azure setup created several roadblocks:
- Inflexible environments made it hard to spin up temporary test or staging systems.
- CI/CD workflows lacked consistency, slowing down releases.
- Role management and access control were hard to manage at scale.
- Monitoring and alerting had to be set up manually, making compliance harder.
- Observability and cost control were limited for Kubernetes workloads.
The company needed a complete migration plan that would improve structure, support automation, and keep data secure across cloud services, APIs, and databases.
The existing Azure setup created several roadblocks:
- Inflexible environments made it hard to spin up temporary test or staging systems.
- CI/CD workflows lacked consistency, slowing down releases.
- Role management and access control were hard to manage at scale.
- Monitoring and alerting had to be set up manually, making compliance harder.
- Observability and cost control were limited for Kubernetes workloads.
The company needed a complete migration plan that would improve structure, support automation, and keep data secure across cloud services, APIs, and databases.
Solution
Perfsys executed the migration in five phases, ensuring security, compliance, and scalability. Discovery & Planning began with a full assessment of the Azure environment, covering service dependencies, SOC2 requirements, CI/CD in Azure DevOps, and Kubernetes scaling. Deliverables included network design, IAM roles, and an AWS roadmap. AWS Organization & Identity Setup established multi-account architecture with SSO via Google Workspace, role-based access, centralized logging, and SOC2 controls. Infrastructure & Networking delivered a VPC with subnetting, VPN, RDS for PostgreSQL, S3 storage, and ALBs for secure, scalable workloads. CI/CD & ECS Setup connected Azure pipelines with AWS: Docker images built in Azure DevOps were pushed to ECR, deployed to ECS via Terraform, and integrated with Key Vault secrets. Finally, Production Deployment ensured controlled rollout with private APIs, VPN-only access, secure ECS-to-service connectivity, and safe deployment policies.
Perfsys executed the migration in five phases, ensuring security, compliance, and scalability. Discovery & Planning began with a full assessment of the Azure environment, covering service dependencies, SOC2 requirements, CI/CD in Azure DevOps, and Kubernetes scaling. Deliverables included network design, IAM roles, and an AWS roadmap. AWS Organization & Identity Setup established multi-account architecture with SSO via Google Workspace, role-based access, centralized logging, and SOC2 controls. Infrastructure & Networking delivered a VPC with subnetting, VPN, RDS for PostgreSQL, S3 storage, and ALBs for secure, scalable workloads. CI/CD & ECS Setup connected Azure pipelines with AWS: Docker images built in Azure DevOps were pushed to ECR, deployed to ECS via Terraform, and integrated with Key Vault secrets. Finally, Production Deployment ensured controlled rollout with private APIs, VPN-only access, secure ECS-to-service connectivity, and safe deployment policies.
Results
By the end of the project, the company had a new cloud foundation with:
- A fully automated CI/CD pipeline across development, staging, and production.
- A SOC2-ready AWS setup with centralized logging and permission control.
- Private infrastructure with VPN-only access to internal resources.
- Reproducible environments managed through Terraform.
Reduced operational workload via container orchestration and autoscaling. - Secure handling of secrets through both Azure and AWS tools.
- Developers now benefit from faster testing, reliable automation, and environments they can spin up or tear down as needed.
By the end of the project, the company had a new cloud foundation with:
- A fully automated CI/CD pipeline across development, staging, and production.
- A SOC2-ready AWS setup with centralized logging and permission control.
- Private infrastructure with VPN-only access to internal resources.
- Reproducible environments managed through Terraform.
Reduced operational workload via container orchestration and autoscaling. - Secure handling of secrets through both Azure and AWS tools.
- Developers now benefit from faster testing, reliable automation, and environments they can spin up or tear down as needed.