Byga is an innovative software platform designed to help sports clubs streamline their operations. By providing scheduling, communication, and financial tools, Byga empowers clubs to focus on player development while ensuring seamless administrative workflows​.

Byga faced several technical and operational challenges with its Heroku-based infrastructure. The platform’s limited customization options and rigid scaling mechanisms made it difficult to efficiently manage increasing workloads. Security and compliance were also concerns, as Heroku’s shared environment posed risks and lacked granular network controls. Additionally, cost optimization was a challenge due to Heroku’s pricing model, which restricted resource allocation flexibility and led to higher operational expenses. Furthermore, the absence of robust infrastructure-as-code (IaC) capabilities limited automation, making infrastructure management inefficient and time-consuming​.

AWS was selected as the preferred cloud provider due to its ability to provide scalable, flexible, and secure infrastructure. By leveraging Elastic Compute Cloud (EC2) and Elastic Container Service (ECS), Byga could seamlessly scale workloads to accommodate varying demands. Security and compliance were also enhanced through AWS-native services such as GuardDuty and IAM policies, which offered advanced threat detection and access control. Additionally, AWS’s cost optimization features, including granular resource control and auto-scaling, helped reduce operational expenses. Infrastructure as Code (IaC) was a crucial factor in the migration, with Terraform enabling efficient and automated infrastructure deployment, ensuring consistency and reducing manual effort​.

Byga, in collaboration with SnapSoft, executed a structured migration strategy to transition from Heroku to AWS efficiently. The process began with setting up a multi-account AWS landing zone, where AWS Organizations was implemented for structured account management, along with CloudTrail for centralized logging and GuardDuty for security monitoring. Networking components such as NAT gateways and VPCs were also configured to enhance security and connectivity. The application and database migration phase involved transitioning Heroku’s web, rpush, and worker Dynos to AWS ECS with Fargate and migrating Heroku Postgres to Amazon RDS, ensuring high availability and minimal downtime. Load balancing was improved with Application Load Balancer (ALB) and AWS WAF, strengthening traffic management and security.

To streamline operations, infrastructure automation and CI/CD were introduced through Terraform, enabling automated provisioning, while AWS CodePipeline and CodeBuild facilitated continuous deployment. Monitoring and alerting were implemented using Amazon CloudWatch and Athena, providing real-time insights into system performance. Finally, in the system testing and production switchover phase, Byga reduced DNS TTL, conducted extensive security and performance testing, and seamlessly switched production traffic to AWS, ensuring minimal disruption and a smooth transition​.

• Compute & Networking: AWS ECS (Fargate), ALB, VPC, NAT Gateway
• Security & Compliance: AWS GuardDuty, AWS WAF, IAM, Secrets Manager
• Database & Storage: Amazon RDS, S3, AWS Backup
• Automation & Monitoring: Terraform, AWS CloudWatch, AWS Lambda, Athena
• CI/CD & DevOps: AWS CodePipeline, CodeBuild, CloudTrail​

Byga's migration to AWS delivered measurable improvements:

• Increased Scalability: The move to AWS ECS with Fargate enables dynamic scaling, improving performance under heavy traffic.
• Enhanced Security & Compliance: AWS-native security tools provide better visibility and threat detection.
• Operational Efficiency: Infrastructure-as-code with Terraform reduced manual management, improving deployment speed.
• Cost Optimization: AWS’s auto-scaling and cost-control mechanisms led to a more predictable and optimized expense model.
• Improved Monitoring & Analytics: AWS CloudWatch and Athena provide deeper insights into system performance and API usage​.