Serverless Team

Serverless Team was engaged by a trade tracking tool company to enhance the backend infrastructure of their project. The team's objective was to improve data processing, analytics capabilities, and address limitations in the existing MVP backend. Serverless Team, comprising 2-5 employees, developed a serverless backend using AWS Lambda functions and Amazon API Gateway. They chose Amazon RDS with PostgreSQL for data storage due to the complexity of relational data. The team successfully delivered an organized API gateway, efficient backend services, and robust monitoring/logging mechanisms using AWS CloudWatch, meeting the client's expectations.

The company was hired by an HR solutions company to design an advanced backend architecture to facilitate the tracking of employee milestones. The solution incorporated features such as automatic event tracking and AI-driven email recommendations for personalized present selection. A team of 6-10 employees from Serverless Team executed the project using AWS Lambda, API Gateway, and DynamoDB along with AWS EventBridge and SQS workflow. They also integrated generative AI and ensured thorough testing and documentation, which resulted in a successful project completion.

Serverless Team was contracted by a data processing platform company to build a robust and scalable data processing platform on AWS. The focus was on utilizing TypeScript and JavaScript with a serverless architecture. The team of three designed and implemented a serverless data processing pipeline capable of handling large volumes of data. They successfully delivered serverless functions for data ingestion, transformation, and storage, and integrated AWS services such as Lambda, S3, DynamoDB, and Step Functions. The TypeScript and JavaScript codebase followed best practices for maintainability, and comprehensive documentation for deployment, monitoring, and troubleshooting was provided, satisfying the client's requirements.