Building a New Cloud-Native App

3x

Faster statement retrieval

40%

App users are from Manila
import

99.99%

Managed uptime SLA
Cloud Application Development for a SaaS Startup

Cloud application development to create a SaaS product for document management

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Customer Overview

Our client, a Software-as-a-Service (SaaS) startup, envisioned building an enterprise application to help users securely manage critical personal and financial documents, including utilities, bank statements, medical records, and tax papers. The platform aimed to provide users with unified, anytime access to their information while enabling document sharing, account alerts, and collaborative family management features.

Project Overview

With the vision defined, the client faced a time-sensitive market opportunity when a well-known app offering similar services announced its shutdown. They recognized a chance to fill the resulting gap and attract its user base while strengthening investor confidence ahead of their next funding round. The plan was to build a cloud-native, Twelve-Factor compliant application that was highly scalable, fault-tolerant, and easily deployable on cloud infrastructure. TenUp partnered with the client to bring this vision to life, ensuring the new platform could go to market swiftly without compromising on performance or reliability.

Challenges

Building an enterprise application while handling a sudden surge of new users, ensuring high system performance and reliability, and providing uninterrupted access to key features and data.

  • Dynamically scaling the system to handle a large influx of users coming from the closing competitor app, while maintaining performance and reliability.
  • Optimizing the statement retrieval system (SRS), which logs into institutional portals to fetch user statements, bills, and records, and synchronizes them with the client’s system. The goal was to complete this synchronization within an hour.
  • Ensuring high availability of static content through a robust content delivery network (CDN).
  • Maintaining API uptime to allow users seamless access to all application features from any location at any time.

Solution

TenUp built a cloud-native application on the AWS platform to ensure scalability, reliability, and high performance. Designed the architecture with loosely coupled services and automated scaling to handle fluctuating user loads efficiently.

  • Deployed the solution on Amazon Web Services (AWS) to leverage cloud-native frameworks and loosely coupled components for flexible scaling and reliability.
  • Separated API operations for user imports and statement retrieval, integrating both with Amazon Auto Scaling Group (ASG) for dynamic scaling.
  • Designed an active-active node architecture to distribute workloads evenly across parallel node instances, preventing overload and improving system availability.
  • Implemented a matrix-specific node design using Amazon EC2, allowing nodes to be added or removed dynamically based on real-time demand.
  • Configured API worker nodes to handle 15–20 concurrent user imports, with ASG dynamically scaling up to five nodes during peak loads and scaling down once traffic normalized.
  • Enhanced the statement retrieval system (SRS) by introducing a scalable, scheduled environment capable of supporting up to 100 parallel user connections.
  • Automated SRS scaling with up to 10 worker nodes during high-traffic periods, such as the first week of each month, before returning to normal operation levels.
  • Established enterprise-grade provisioning using AWS components, including Amazon RDS for PostgreSQL, Compose for NoSQL, Amazon S3 for secure file storage, and Amazon CloudFront as the CDN.
  • Integrated Amazon Simple Queue Service (SQS) for asynchronous communication between system components, ensuring message reliability and high availability.
  • Implemented self-healing mechanisms using Monit for automatic recovery from application crashes, supported by Amazon ASG, custom AMIs, and AWS CodeDeploy to prevent downtime and maintain performance continuity.

Benefits

TenUp’s cloud-native application development helped the client enhance performance, security, and scalability while ensuring a seamless user experience. Key business outcomes include:

  • The cloud-native application now supports high concurrency with built-in resilience and disaster recovery capabilities.
  • Thousands of users from the closing app, along with their data and documents, were successfully migrated to the new system.
  • Users can now access, retrieve, and share their statements anytime through a secure and efficient interface.
  • AWS integration strengthened security and improved overall operational efficiency.
  • Cloud deployment eliminated hardware maintenance costs and reduced infrastructure expenses.
  • Dynamic scaling ensured optimal performance with over 90% CPU utilization, delivering maximum cost efficiency.

Technology

  • Amazon Web Services (AWS)
  • Amazon EC2
  • Amazon Auto Scaling Group (ASG)
  • Amazon RDS for PostgreSQL
  • Compose for NoSQL
  • Amazon S3
  • Amazon CloudFront
  • Amazon Simple Queue Service (SQS)
  • AWS CodeDeploy
  • Monit
  • Custom Amazon Machine Images (AMIs)

Industry

  • SaaS Startup
Cloud Application Development to build SaaS

Conclusion

With Tenup’s cloud-native application development, the startup has already become one of the leading businesses in its industry. Thanks to our expertise and the power of AWS tools, our client was able to take full advantage of a crucial, time-sensitive opportunity – and it is reaping the benefits of a cutting-edge, cloud-native solution to drive further business growth.

Frequently asked questions

What makes a SaaS startup decide to build a cloud-native enterprise app when a competitor is shutting down?

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When a competitor shuts down, a SaaS startup often seizes the moment to fill the market gap with a faster, cloud-native application. This move helps capture displaced users, attract investors, and establish market leadership quickly. By using cloud-native architecture, startups can launch faster, scale instantly to meet demand, and operate more cost-efficiently than legacy systems, turning a competitor’s exit into a strategic growth opportunity.

How can you design an architecture that handles a sudden surge of users migrating from a competitor’s platform?

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To handle a sudden user surge, build a cloud-native, auto-scaling architecture using microservices, load balancing, and caching. This setup scales resources instantly, prevents downtime, and keeps performance steady during high-traffic migrations from a competitor’s platform.

What key AWS services and architecture patterns support high-performance, scalable SaaS applications for document management?

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Scalable SaaS document-management apps use AWS services like S3 for storage, EC2 for compute, RDS for databases, and CloudFront for global delivery. Combined with microservices and auto-scaling, this architecture efficiently handles growing data volumes and user traffic while ensuring top performance, reliability, and cost control. You could also use AWS Lambda (for serverless compute), Amazon ECS/EKS (for container orchestration), and Amazon Aurora Serverless.

How do you optimize a document-statement retrieval system (SRS) to sync user data from institutional portals within an hour?

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Optimize your document-statement retrieval system with an event-driven microservices architecture using Change Data Capture (CDC) and low-latency APIs. This enables near-real-time syncing by updating only changed data. Add caching and asynchronous processing to boost speed and reliability for hour-level data synchronization.

What does it mean for a cloud application to be Twelve-Factor compliant, and why is that important for enterprise SaaS?

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A Twelve-Factor compliant cloud application follows 12 best practices for building portable, scalable, and resilient SaaS products. It ensures stateless architecture, environment-based configuration, and clear separation of code and dependencies, enabling faster deployments, easier scaling, and reliable performance across environments, key to modern enterprise SaaS success.

How do you architect an “active-active” node design on AWS to ensure high availability and fault tolerance for SaaS platforms?

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An active-active node architecture on AWS ensures high availability by deploying nodes across multiple Availability Zones or Regions, using load balancers and Route 53 for traffic routing. With stateless services, shared databases like Aurora or DynamoDB, and auto-scaling with health checks, SaaS platforms stay resilient and always online.

What are the major cost-efficiency benefits of dynamic auto-scaling in a cloud-native SaaS deployment?

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Dynamic auto-scaling improves cost efficiency in cloud-native SaaS by automatically adjusting resources to real-time demand, eliminating over-provisioning and idle capacity. It optimizes pay-as-you-go spending, boosts CPU utilization 60–75%, and cuts manual management overhead. With AI-powered predictive scaling, it anticipates traffic spikes, ensuring peak performance while minimizing cloud costs.

How can you maintain uninterrupted API uptime and seamless document access from any location for a global user base?

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Ensure uninterrupted API uptime and global document access with a multi-region setup, CDN caching, and load balancing for failover. Add real-time monitoring, auto-scaling, and data replication to maintain speed, reliability, and continuous access worldwide.

What metrics, KPIs or performance indicators should a SaaS startup monitor post-launch to validate that cloud-native architecture is delivering as promised?

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A SaaS startup should track both technical and business KPIs to validate its cloud-native success, including uptime, latency, error rate, and MTTR for reliability, deployment frequency and change failure rate for DevOps efficiency, and cost per customer for cloud spend optimization. Monitoring churn, NPS, and customer lifetime value links architecture performance directly to user satisfaction and growth.

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