Building a Scalable, Cloud-Native Ad Measurement Platform with AWS Serverless Architecture

Cloud-Native Ad Measurement Platform with AWS: Targeted Content Delivery and Advanced Data Analysis 

Introduction:

Introducing our innovative & Scalable Cloud-Native Ad Measurement Platform with AWS serverless, a dynamic solution tailored to meet the unique needs of ad-tech companies. This platform specializes in delivering precisely targeted content to enhance advertising strategies. Our mobile application for ad tracking seamlessly captures valuable data, which is then meticulously collected and analyzed through cutting-edge machine learning algorithms. This transformative approach ensures optimized ad campaigns and empowers businesses with actionable insights for unparalleled success in the ever-evolving world of advertising technology.

Client Profile:

Our client is a prominent player in the advertising industry, specializing in cutting-edge solutions for mobile ad measurement. They offer a comprehensive suite of services designed to deliver precise, scalable, and unified measurements for mobile advertisements. By providing advertisers with a single source for accurate performance metrics, they empower businesses to optimize their ad campaigns effectively, maximize ROI, and make data-driven decisions in an increasingly mobile-centric advertising landscape. With their expertise and innovative tools, our client is at the forefront of revolutionizing how advertisers gauge the impact of their mobile ad delivery platform.

Challenges:

• Integrating multiple components, as it required meticulous coordination.
• Managing the challenges of compatibility and maintenance due to coexistence of different technologies.
• Integrating and maintaining the legacy EC2-hosted APIs
• Ensuring that the system can scale efficiently to accommodate growing user and data loads
• Managing data consistency across various components and ensuring robust security measures
• Achieving optimal performance & mitigating potential bottlenecks
• Debugging issues that span multiple technologies and layers
• Managing versions and dependencies of various technologies, libraries, and frameworks
• Efficient management of AWS resources, particularly Lambda and EC2 instances, to control costs while maintaining the desired level of scalability.

Technical Solution:

The solution we built emphasizes modular development, automation, and robust AWS services integration, contributing to scalability, reliability, and enhanced development and deployment processes for the project. This Cloud-Native Ad Measurement Platform with AWS approach ensured seamless integration of mobile, serverless, and legacy components.

Mobile Application (Android):

• The mobile application is developed natively for Android using Java.

API Backend (Serverless):

• Backend services are hosted using Amazon API Gateway and AWS Lambda, written primarily in TypeScript, and transpiled to JavaScript during build time.
• AWS SAM (Serverless Application Model) is employed for streamlined Lambda and API Gateway deployments
• MySQL is used as the database for data storage

Legacy API Platform:

• Legacy APIs are hosted on Amazon EC2 instances with PHP as the backend.
• Nginx serves as a reverse proxy for these APIs to optimize request handling.

Admin Panel (ReactJS):
The admin panel is built using ReactJS and served through Nginx for enhanced user experience.

• Data Server API:
  Additional Data Server APIs are developed using TypeScript with the Fastify framework (MVC) and Sequelize (ORM) for data modeling and database interactions.
• Authentication and User Management:
  User authentication and management are implemented using AWS Cognito, ensuring secure and authorized access to the applications.
  AWS Cognito stores and authenticates user credentials against MySQL
• Continuous Integration and Continuous Deployment (CI/CD):
  The entire development process follows a CI/CD pipeline within the AWS ecosystem.
  Tools such as AWS CodeBuild and AWS CodePipeline automate build and deployment processes.
  For Android, continuous deployment to the Google Play Store is enabled.
  GitHub serves as the code repository, with pipelines triggered automatically upon merging pull requests.
• Data Storage:
  RDS (Relational Database Service) and Aurora are utilized to host MySQL data stores, offering scalability and reliability.
• Static Assets:
  All static assets, including custom JSON objects, images, and videos, are stored in Amazon S3, ensuring efficient asset delivery.

Technical stack:

Technologies: Android Java, PHP, Typescript, MySQL, Nginx, ReactJS, AWS API Gateway, S3
Infrastructure: AWS CodeBuild, AWS CodePipeline, AWS Lambda, AWS SAM, AWS Cognito, AWS RDS Aurora, AWS EC2, AWS S3

Architecture diagrams:

Results/Business benefits:

The solution we built offers several significant business benefits out of which a few are mentioned below:

• Higher Scalability and improved performance due to the use of AWS services.
• Efficient Development due to the leverage from the CI/CD pipelines.
• Cross-Platform Reach as it allowed us to cater to a wide range of users across different devices and platforms.
• Utilizing serverless architecture helped significantly in Cost Optimization
• AWS Cognito, combined with MySQL Enhanced the Security
• Efficient data management and analytics.
• Fast and reliable content delivery to users.
• Valuable insights for decision-making and customization of ad delivery.
• Enhanced user experience due to native mobile apps, a responsive web admin panel, and efficient data server APIs

Conclusion:

The Scalable Cloud-Native Ad Measurement Platform with AWS offered a robust and flexible architecture within the AWS ecosystem, enabling efficient development, seamless integration, enhanced security, and scalability. This platform, combined with the mobile application for ad tracking and mobile ad delivery platform, ensures advertisers can achieve real-time insights, faster delivery, and optimized campaign performance.