Bondy Migration to AWS: Scalability, Automation, and Efficiency for a Growing Social Network
Bondy, the social network designed to connect people with similar interests through in-person activities (beach, mountains, city, etc.), was experiencing a pivotal growth spurt. Its platform, originally hosted on Google Cloud Platform, needed to evolve toward a more scalable, automated, and governed infrastructure to address new technical and business challenges.
What challenge did the company face?
Bondy needed a more scalable, secure, and automated infrastructure to support its growth, improve cost control, and optimize the technical management of its platform.
Cloud migration
Difficulty scaling infrastructure flexibly as users and plans grow.
Limited control over operating costs and resource use.
Lack of automation in technical processes, which led to dependence on manual tasks and a greater risk of errors.
Reduced visibility into system performance and behavior.
Urgent need to strengthen security and implement best practices in cloud management.
The goal was clear: to have a modern, automated, secure, and scalable infrastructure, while maintaining operational and economic efficiency.
Solution implemented
Apser supported Bondy in a comprehensive migration to Amazon Web Services (AWS), designed from the ground up with a DevOps vision: automation, efficiency, security, and continuous deployment.
Main components of the solution
Modular and scalable architecture
The platform was restructured by dividing the application into microservices deployed in Amazon ECS with Fargate, allowing for automatic scaling based on demand without the need to manage servers.
Total infrastructure automation
The entire infrastructure was configured using terraform, ensuring consistent, controlled deployments without unnecessary manual intervention.
Secure and governed management of the AWS environment
An environment was implemented multi-account AWS Control Tower, establishing access control, personalized policies (SCPs), multi-factor authentication (MFA) and complete traceability through centralized records.
Optimized database migration
The databases were moved from Google Cloud to Amazon RDS (MySQL) in production and Aurora Serverless in development, improving performance and reducing costs.
Real-time monitoring and alerts
Custom panels were enabled in Amazon Cloud Watch, along with proactive alert systems, allowing the team to detect and resolve incidents before they affect users.
Integration with key external services
Due to business needs, some integrations were kept outside of AWS, such as Google Maps and the mobile frontend, with a defined plan for your future migration.
Results
Why Apser
apser is the AWS Advanced Consulting Partner specialized in private companies, public sector, ISVs and non-profit organizations.
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