Scaling a Platform for Millions of Users: A Streamlined Approach
Pramod Pawar
Co-Founder & CIO | Driving Platform Excellence | Specializing in FinOps, Cloud Optimization & Scalable Solutions
Lately, I’ve been receiving a lot of queries from non-tech entrepreneurs, Startup Founders, Consultants & Agencies in various platforms, who are eager to transform their business through software. A common question I hear is:
How do I scale my platform to support millions of users?
In this post, I’ll break down the process step-by-step in an approachable way, adopting flexible software design practices like Separation of Concerns, Modular/Service-Oriented Architecture, Write-Through Caching and microservices architectures.
The illustration below outlines the evolution of a fintech application, starting from a monolithic architecture hosted on a single server and gradually transitioning into a service-oriented or microservice architecture.
Let’s assume we have two primary services: a payment processing service (which handles transactions, payments, and transfers) & a user account service (which manages user accounts, registration, balance tracking, etc.)
? Phase 1
As the number of users grows, a single server running both the application and database becomes insufficient to handle the volume of transactions and account activity. To resolve this, the application server and the database server are split into two separate machines, each focused on its own task.
? Phase 2
As the platform continues to grow, a single application server still can't manage all user requests efficiently. At this point, we deploy multiple application servers in a cluster to share the load and ensure that transaction processing happens smoothly.
? Phase 3
With several application servers now managing incoming requests, a load balancer is introduced to distribute traffic evenly among the servers. This ensures that no single server is overloaded with too many payment requests or account updates.
? Phase 4
As transaction volume increases, the database may become a bottleneck, especially when handling payment data and frequent account queries. To overcome this, we separate reads and writes within the database. Frequent read operations are offloaded to read replicas, which helps boost performance for database write operations like balance updates and transaction logging.
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? Phase 5
As the fintech platform continues to scale, a single database might not be able to manage both payment processing and user account data. Several strategies are available to address this:
?? Vertical scaling: Adding more computational power (CPU, RAM) to the database server, though this approach has its limits.
?? Horizontal scaling: Distributing data across multiple database servers, possibly segmenting payment data from user account data.
?? Caching: Introducing a caching layer to handle frequently accessed data, such as transaction histories or user balances, reducing the load on the database.
? Phase 6
The platform now reaches the point where we modularize the system into separate services, each responsible for a distinct function. The architecture evolves into a service-oriented or microservice structure, where services like payment processing, fraud detection, and account management operate independently, allowing for greater scalability and flexibility.
With these phases complete, the next question is:
What additional steps are needed to scale the platform to a global fintech level?
Considerations would include enhanced security measures, compliance with financial regulations across regions, and optimizing for high availability and disaster recovery.
?? These are the approaches I’ve found helpful, but I know there are always new strategies and methods out there. I’d love to hear from those who have tried different or more innovative ways to scale platforms—feel free to share your experiences or perspectives!
?? Let’s Connect!
If you're looking for expert guidance on scaling your platform, implementing cloud or DevOps best practices, or need help with specific challenges in your business, feel free to reach out. Whether it's a consulting project, a platform architecture review, or simply a discussion on the latest industry trends, I’m happy to connect and explore ways we can work together.
Let’s build something great! ??
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Vice President-SRE @Tavisca (Performance | Observability | Reliability)
2 个月Well explained Pramod Pawar
Architect @ JPMorganChase (Chase Travel) | AWS | FinOps | Platform Engineering | Leadership
2 个月Great Post, Pramod Pawar. Clear, concise and captures the essence of application maturity from a monolith to microservices.