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Example projects

Express.js API with Postgres

Express.js API with Postgres

This project deploys a simple HTTP API built using Express.js. The application runs in a web service resource and uses a Postgres relational database to store the data. To simplify the database access, this project uses Prisma.

Next.js SSR website

Next.js SSR website

This project deploys a simple Server-side rendered NextJS application. The project uses a Web Service to run the Next app.

Django API with Postgres

Django API with Postgres

This project deploys a simple HTTP API built using Django and Django REST Framework. The application runs in a web service resource and uses a Postgres relational database to store the data.

Flask API with Postgres

Flask API with Postgres

This project deploys a simple HTTP API built using Flask. The application runs in a web service resource and uses a Postgres relational database to store the data.

Gin API with Postgres

Gin API with Postgres

This project deploys a simple HTTP API built using Gin framework. The application runs in a web service resource and uses a Postgres relational database to store the data. To simplify the database access, this project uses go-gin.

Lambda API with DynamoDb

Lambda API with DynamoDb

This project deploys a simple Lambda-based HTTP API. The application runs in a Lambda function and uses DynamoDb to store the data. To simplify the database access, this project uses DynamoDb OneTable.

Lambda API with MongoDb

Lambda API with MongoDb

This project deploys a simple Lambda-based HTTP API. The application runs in a Lambda function and uses MongoDb Atlas cluster to store the data. To simplify the database access, this project uses Mongoose ORM.

Laravel SSR website

Laravel SSR website

This project deploys a simple Server-side rendered Laravel application. The project uses a Web Service to run the Laravel app.

Nest.js API with Postgres

Nest.js API with Postgres

This project deploys a simple HTTP API built using Nest.js. The application runs in a web service resource and uses a Postgres relational database to store the data. To simplify the database access, this project uses Prisma.

Ruby on Rails API with Postgres

Ruby on Rails API with Postgres

This project deploys a simple HTTP API built using Ruby on Rails. The application runs in a Web Service resource and uses a Postgres relational database to store the data.

Spring Boot API with Postgres

Spring Boot API with Postgres

This project deploys a simple HTTP API built using Spring Boot. The application runs in a web service resource and uses a Postgres relational database to store the data.

Angular SPA

Angular SPA

This project deploys a simple Single Page Application built using Angular.io. The project uses a S3 storage bucket to store the application assets and a CDN to cache the content at the edge.

Gatsby.js website

Gatsby.js website

This project deploys a statically-built Gatsby.js application. The project uses a S3 storage bucket to store the application assets and a CDN to cache the content at the edge.

Go lambda with DynamoDB

Go lambda with DynamoDB

This project deploys a simple Lambda-based HTTP API using Go runtime. The application runs in a Lambda function and uses DynamoDb to store the data.

Java lambda with DynamoDB

Java lambda with DynamoDB

This project deploys a simple Lambda-based HTTP API using Java runtime. The application runs in a Lambda function and uses DynamoDb to store the data.

Kafka stream processing

Kafka stream processing

This project deploys a simple Lambda-based stream-processing app. The application uses 2 Lambda functions, Upstash Kafka topic and HTTP API Gateway. The first Lambda function is triggered by an HTTP request. It writes the message from the HTTP request to the Kafka topic. The Kafka topic batches the messages. The second lambda function processes the batched messages.

Lambda API with MySQL

Lambda API with MySQL

This project deploys a simple Lambda-based HTTP API. The application runs in a Lambda function and uses a MySQL relational database to store the data. To simplify the database access, this project uses Prisma.

Lambda app with Redis

Lambda app with Redis

This project deploys a simple Lambda-based HTTP endpoint that stores the data in Upstash Redis.

Web scraper with Puppeteer

Web scraper with Puppeteer

This project deploys a web link scraper implemented in Typescript using headless chrome - Puppeteer. The scraper runs in a Lambda function

NuxtJs SSR website container

NuxtJs SSR website container

This project deploys a simple Server-side rendered NuxtJS v3 application. The project uses a Web Service to run the Nuxt app and a S3 storage bucket with CDN to host the static content.

NuxtJs SSR website lambda

NuxtJs SSR website lambda

This project deploys a simple Server-side rendered NuxtJS v3 application. The project uses a Lambda function to run the Nuxt app and a S3 storage bucket with CDN to host the static content.

Python Lambda with MongoDb

Python Lambda with MongoDb

This project deploys a simple Lambda-based HTTP API using Python runtime. The application runs in a Lambda function and uses DynamoDb to store the data. To simplify the database access, this project uses PyMongo.

React SPA with Vite.js

React SPA with Vite.js

This project deploys a simple Single Page Application built using React.js and Vite.js. The project uses a S3 storage bucket to store the application assets and a CDN to cache the content at the edge.

Websocket API with Socket.io

Websocket API with Socket.io

This project deploys a simple Websocket API built using Socket.io. The application runs in a container workload and uses Upstash redis to store the session data. The requests are routed using Application Load Balancer. The Websocket API is work as expected even if horizontally scaled (multiple parallel instances can be added).

Svelte SPA with Vite.js

Svelte SPA with Vite.js

This project deploys a simple Single Page Application built using Vue.js and Vite.js. The project uses a S3 storage bucket to store the application assets and a CDN to cache the content at the edge.

Tensorflow image classification

Tensorflow image classification

This project deploys machine-learning powered image classifier built using Tensorflow and Python. The project uses a Batch job to run the classification and 2 S3 storage buckets to store the input and output.

Vue SPA with Vite.js

Vue SPA with Vite.js

This project deploys a simple Single Page Application built using Vue.js and Vite.js. The project uses a S3 storage bucket to store the application assets and a CDN to cache the content at the edge.

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