RinggitPay, a growing fintech startup in Southeast Asia, needed to scale its payment processing platform quickly without getting bogged down by infrastructure complexities. The adoption of a serverless architecture by Tech Swamy resulted in faster time-to-market, lower operational overhead, and improved system resilience. This architectural shift directly supported RinggitPay’s goals of rapid expansion, lean operations, and high system availability.

RinggitPay needed a scalable and efficient payment processing solution but lacked the resources for extensive DevOps setup and management. Their previous monolithic system required constant monitoring, manual scaling, and significant DevOps intervention, which diverted attention from core feature development.

Key pain points included:

• Frequent deployment delays due to manual CI/CD workflows.
• High operational overhead from managing EC2-based infrastructure.
• Difficulty in scaling efficiently during high transaction volumes (e.g., salary disbursements or promotional spikes).
• Security concerns from managing infrastructure and storage in-house.

They needed a system that allowed developers to focus on features rather than infrastructure, while also ensuring compliance, security, and performance.

Tech Swamy designed and implemented a fully serverless architecture using a tightly integrated suite of AWS services that allowed RinggitPay to achieve rapid scale, security, and resilience:

• AWS Amplify – Used for front-end hosting, CI/CD, and environment management, enabling fast and reliable web and mobile deployments.
• AWS Step Functions – To orchestrate complex workflows, such as transaction validation, fraud checks, and notification services.
• AWS Lambda – Replaced traditional server-based logic with lightweight, scalable, event-driven compute units for all backend operations.
• Amazon DynamoDB – Offered sub-millisecond latency for transaction records, user session storage, and audit logs.
• Amazon S3 – Secured file uploads (e.g., receipts, KYC documents) with encryption and access control out of the box.
• Amazon Rekognition – Integrated to automate image verification for KYC processes, reducing human intervention and turnaround time.

This architecture allowed for high availability, granular access control, and reduced time-to-production for new features.

Ease of Deployment:

• Amplify enabled Git-based deployments, reducing manual deployment cycles.
• Reduced setup and deployment overhead by 40+ hours per month per developer.
• Developers could push updates multiple times a day without risk.

Infrastructure Automation:

• Step Functions managed transaction workflows with built-in retries and error handling.
• Eliminated manual server monitoring, saving 20–30% of DevOps effort monthly.
• Lambda-based microservices ensured isolated, testable logic for critical flows.

Scalability Without Manual Intervention:

• Auto-scaling Lambda functions handled traffic spikes during peak business hours.
• Avoided 5–10 hours/week of infrastructure tuning and provisioning.
• System handled a 3x increase in traffic during peak events without a single outage.

Focus on Development:

• Engineering team reallocated bandwidth from infra management to feature development.
• Delivered high-priority features (e.g., multi-currency support, transaction logs) 20% faster than before.

Cost Savings on Infrastructure and DevOps:

• Avoided hiring a full-time DevOps engineer, saving $8,000–$10,000/month in salaries and overhead.
• Shift to a pay-as-you-go model for compute, storage, and database reduced infrastructure costs by 30–40%, saving an additional $3,000–$5,000/month.

Increased Developer Productivity:

• Saved over 200 developer hours/month due to automation and serverless workflows.
• At an average developer cost, this equates to $15,000–$20,000/month in productivity gains.

Downtime Prevention:

• With built-in failover and distributed compute, uptime was maintained at 99.99%.
• Prevented potential revenue loss of $5,000–$10,000 per hour during incidents.

Scalability Without Growing Pains:

• Avoided cost-heavy overprovisioning and the customer impact of underprovisioning.
• Enabled a smoother scaling path during funding rounds and user growth.

Security Risks Reduced:

• Leveraged AWS’s managed security features (IAM, encryption, audit logs).
• Reduced risk of data breaches and compliance issues, potentially avoiding $50,000+ in recovery costs and penalties.

By implementing this serverless solution, RinggitPay not only achieved technical scalability and operational efficiency but also realized the following tangible business benefits:

• $25,000–$35,000/month saved across infrastructure, DevOps, and productivity.
• Risks mitigated that could have cost tens of thousands of dollars in outages or data breaches.
• Positioned their platform to scale seamlessly with user demand and product complexity.

Tech Swamy’s expertise empowered RinggitPay to focus on innovation and product velocity, knowing their backend was cost-effective, secure, and built for the future.