Backend RESTful API implemented using FastAPI framework deployed using DevOps/GitOps CI/CD to AWS with Serverless Framework IaaC tool to multiple envs (dev, test, staging, prod) according to Git Flow rules. Fully automated Continuous Delivery.

This is a boilerplate for version release pipeline with serverless framework

This project implements continous integration and continous delivery pipeline for a Python machine learning API built with the Flask web framework. And the application is deployed into Azure. The pre-trained sklearn model used would predict housing prices in Boston according to several features, such as average rooms in a home and data about highway access, teacher-to-pupil ratios, and so on. If you're curious, you can read more about the data, which was initially taken from Kaggle, on the data source site. This project also demonstrates operationalization of the serverless machine learning app (app.py) that serves out predictions (inference) about housing prices through API calls. This project could be extended to any pre-trained machine learning model, such as those for image recognition and data labeling.

The Serverless Data Lake Framework (SDLF) is a collection of reusable artifacts aimed at accelerating the delivery of enterprise data lakes on AWS, shortening the deployment time to production from several months to a few weeks. It can be used by AWS teams, partners and customers to implement the foundational structure of a data lake following best

In this liveProject you’ll step into the shoes of a backend engineer working for a SaaS company that builds custom WhatsApp messaging tools. Your new client is a college professor who wants to be able to send group messages to her students. Your challenge is creating cloud-based software that lets your client write customizable messages, send messages to individuals or an uploaded group list, and view a message delivery status log. To do this, you’ll use Node.JS, a serverless framework, and AWS resources such as Lambda Function and DynamoDB.

Modern application delivery framework using AWS serverless services, Terraform IaC, ECS Fargate, and Drupal. Includes CI/CD pipelines, ephemeral environments, and production-ready configurations.

Serverless reminder service in TypeScript using AWS Lambda, DynamoDB, SES, and API Gateway. Supports create/list/update/delete reminders, scheduled email delivery, dead-letter handling, metrics, and cleanup jobs. Deploys via Serverless Framework with local dev support.

Delivery ArcGIS Enterprise Cloud Builder for AWS IoT Core and Lambda solution for Realtime fleet management system. AWS IoT shall manage sensor grids information more-easily and securely interact with cloud application and with GIS services. System generate GIS analysis report on daily basics. Platform: - Serverless Framework, Amazon S3/DynamoDB,AWS IoT Core, AWS Lambda,ArGIS Online