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Seamlessly White Labeling SaaS Solution for Pirkx Using AWS

Industry

Healthcare and Benefits

Solution

AWS

Objective

Pirkx sought to offer its healthcare and benefits platform as a white-labeled SaaS solution, enabling partners to customize the platform with their branding while maintaining the core functionalities. This required a scalable, secure, and flexible architecture to support multiple clients with unique branding needs.

Challenges

Customization Requirements

Each partner required unique branding elements such as logos, color schemes, and domain names.

Scalability

The solution needed to scale to support a growing number of partners without compromising performance.

Data Isolation

Ensuring data isolation and security for each partner was critical to maintain privacy and compliance.

Deployment Efficiency

Rapid deployment and updates were necessary to meet the evolving needs of partners and end-users.

Solution

Pirkx implemented a white-label SaaS architecture using AWS services, leveraging containerization, automation, and a microservices approach to ensure scalability, customization, and security.

Containerization and Microservices

- Amazon ECS: Used Amazon Elastic Container Service (ECS) to deploy microservices in containers, ensuring isolated and scalable environments for each partner.
- Docker: Each microservice was containerized using Docker, facilitating easy deployment and consistent environments across development, staging, and production.

Customization and Branding

- AWS S3 and CloudFront: Hosted static assets (e.g., logos, stylesheets) on Amazon S3 and delivered them via Amazon CloudFront, enabling quick updates and low-latency access.
- Dynamic Theming: Implemented a dynamic theming engine within the application, allowing partners to customize UI elements through configuration settings stored in Amazon DynamoDB.

Scalability and Performance

- Amazon RDS: Utilized Amazon RDS for PostgreSQL to manage relational databases, ensuring high availability and automated backups.
- Auto Scaling: Configured auto-scaling policies for ECS clusters to automatically adjust the number of running containers based on traffic and load.

Security and Data Isolation

- Amazon Cognito: Used Amazon Cognito for user authentication and authorization, ensuring secure and scalable user management.
- VPC and Security Groups: Deployed services within an Amazon Virtual Private Cloud (VPC) with appropriate security groups and network ACLs to isolate partner data and control access.

Continuous Integration/Continuous Deployment (CI/CD)

- AWS CodePipeline and CodeBuild: Set up CI/CD pipelines to automate the build, test, and deployment processes, ensuring rapid and reliable updates.
- Infrastructure as Code (IaC): Employed AWS CloudFormation to define and manage infrastructure, enabling repeatable and consistent deployments.

Solution Components

Amazon ECS

AWS S3

AWS CloudFront

Amazon RDS

PostgreSQL

Auto Scaling

Amazon Cognito

AWS CodePipeline

AWS CodeBuild

AWS IaC

Result

Enhanced Customization

Elastic Infrastructure: The platform efficiently scaled to accommodate a growing number of partners and users, maintaining high performance and availability.

Seamless Updates: Dynamic theming and configuration-driven customization allowed for rapid updates without downtime.

Improved Scalability

Elastic Infrastructure: The platform efficiently scaled to accommodate a growing number of partners and users, maintaining high performance and availability.

Global Reach: Leveraged AWS’s global infrastructure to deliver low-latency access to users across different regions.

Robust Security and Data Isolation

Secure Multi-Tenancy: Ensured that each partner’s data was securely isolated, complying with industry regulations and best practices.

Enhanced Authentication: Amazon Cognito provided secure and scalable user management, supporting complex authentication workflows.

Efficient Deployment and Management

Rapid Deployment: Automated CI/CD pipelines reduced deployment times, enabling quick rollout of new features and bug fixes.

Consistent Environments: IaC practices ensured that all environments were consistent and reproducible, reducing configuration drift and deployment issues.