Mukul Mantosh

Tutorial

AI Assistant with AWS Bedrock and Go

Develop an AI assistant by combining AWS Bedrock, Go, and React for a dynamic frontend.

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Building the Backend

Configuring a New Project in GoLand.

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Building the Frontend - Project Setup and Configuration

Configuring a New React Project with Vite.

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Introduction

What exactly is Amazon Bedrock?

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Crafting a Frontend Application

Component Configuration, UI Development, and WebSocket Integration.

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Interacting with ML Models — Llama3

Interacting with Llama3 in AWS Bedrock.

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Getting Started

Preparing your environment.

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Enable Model Access

Turning On Models in AWS Bedrock.

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Interacting with ML Models — Anthropic

Interacting with Anthropic in AWS Bedrock.

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References

Code Samples and Reference Materials

Tip

Full Line Code Completion in GoLand

Faster code completion with the help of a locally running deep learning model.

Tip

Goroutines Profiler Labels

Advance beyond the current line of code and move on to the next line.

Tip

Run to cursor

Continues the execution until the position of the caret is reached.

Tip

Step Over

Advance beyond the current line of code and moves on to the next line.

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Change the editor font size using the mouse wheel

Increase or decrease the font size on-the-fly

Topic

Docker

Build, test, and deploy applications quickly

Tutorial

Boost your Development Speed with Docker and Django

Combining Django and Docker to simplify your development and deployment process.

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Introduction to Docker for Python and Django

Using containers to build and deploy applications.

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DockerHub

Pushing Image to Remote Registry.

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Running Docker through PyCharm

Build and run a Docker container from your IDE.

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Making your deployment production-ready

Additional tools for your Django app production environment.

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Setting Up and Running the Application

Configuring the Application Using Dockerfile and Docker Compose.

Tip

Attach the Debugger to a Running Go Processes

Attach a debugger to a running process in your IDE, whether local, remote, or in Docker.

Tutorial

REST API Development with Gin

Developing a Bookstore App with the Gin Framework

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Data Models

Defining models and establishing database connection

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Database Setup

Configuring Your PostgreSQL Database.

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Project Layout

Organizing and Navigating Through Your Codebase.

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Interfaces & CRUD Operations

Centering on business logic via CRUD operations.

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Introduction

Introducing Gin, the high-performance web framework, written in Go.

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HTTP Handlers

Managing Web Requests - The HTTP Handler Approach.

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Project Configuration

Install the dependencies used for the sample application.

Tutorial

Remote Development in PyCharm Professional Using Google Cloud Code

Leverage Cloud Code and PyCharm to enhance and optimize your developer productivity.

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Introduction

Breaking Barriers - Revolutionizing Development through Remote Collaboration.

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Creating a new project in PyCharm

Initiating Projects with PyCharm's New Project Creation.

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Running applications in GKE

Running Applications and Securing Domains with SSL Certificates in GKE.

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Installing the Google Cloud Code plugin and the Google Cloud SDK

Simplifying Setup with GCloud SDK and Cloud Code Plugin.

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Creating CRUD APIs (TODO App)

Building APIs with Django Rest Framework.

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Google Kubernetes Engine

Harnessing the Power of Google Kubernetes Engine.

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Authentication

Integrating FastAPI with JWT Tokens.

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Cleanup

Cleaning up stack (removing RDS, EKS, ElastiCache, LoadBalancer, Route53).

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Helm Charts

Combine your K8s manifests into a single package using Helm Charts.

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Elastic Kubernetes Service (EKS)

Deploying application using EKS, RDS, ElastiCache, Route53 & AWS Certificate Manager.

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Project Setup

Setting up FastAPI project type in PyCharm Professional.

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Celery & Redis

Configuring Celery & Redis with FastAPI.

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Kubernetes Deployment

Writing K8s manifests & deploying in minikube.

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References

Reference materials which helped to prepare this tutorial.

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REST API - Part II

Performing CRUD operations in our User module.

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REST API - Part I

Implementing a REST API for User modules using Pydantic & API Router.

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REST API - Part V

Performing CRUD operations in Orders along with placing a new order.

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REST API - Part III

Performing CRUD operations in Products & Category Module.

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REST API - Part IV

Performing CRUD operations in Orders & Cart Module.

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Database Setup - Part II

Setting up database migrations with Alembic.

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Testing

Writing Unit Tests using Pytest & Asyncio.

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Database Setup - Part I

Configuring database connection with SQLAlchemy and FastAPI.

Tutorial

Developing FastAPI Application using K8s & AWS

Build seamless FastAPI applications in PyCharm through Kubernetes & AWS.

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Introduction

Introducing FastAPI, a modern, fast (high-performance), web framework.

Tutorial

Developing Django Application using AWS

Run, build, test and deploy Django Application in PyCharm using NICE DCV.

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Exploring Django with Docker

Building and running Django Containers through Docker.

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Behavior-Driven Development(BDD) Testing

Writing and running BDD tests using Behave.

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Cleanup

Cleaning up resources from AWS.

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GitHub Actions

Deploy Docker Image to AWS ECR through GitHub Actions.

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Implementing Rest APIs

Writing CRUD (Create, Read, Update, Delete) in Django Rest Framework.

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Exploring Project Structure & Creating Django App

Create a new app, define models, and explore the project's structure.

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Introduction

Introducing Django, a high-level python web framework.

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Integrating Sentry Application Monitoring

Track errors & monitor performance in all major languages & frameworks with Sentry.

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Creating a new Django Project in PyCharm

Create a virtual environment and install Python dependencies.

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Setup AWS RDS in PyCharm

Connect Postgres with our Django Application.

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Secure REST APIs with JWT

Using Simple JWT authentication plugin for the Django REST Framework.

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Unit Tests

Writing and running unit tests in Django.

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Setting up VPC and RDS in AWS

Setup VPC, Subnets, Route Tables, Internet Gateway and Relational Database.

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Setup Ubuntu Desktop in AWS using NICE DCV

Configure security group and launch a new instance.

Tutorial

Developing Serverless APIs using AWS Toolkit

Run, build, and deploy serverless functions in PyCharm.

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Setting Up a Database in MongoDB Atlas

Connect MongoDB smoothly by connecting through Pycharm Professional to explore the database GUI.

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Background on Serverless

Introduce Microservices, AWS SAM (Serverless Application Model)

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Securing APIs with JSON Web Tokens (JWT)

Adding Custom Authorizers in Lambda functions

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Writing REST APIs

Beginning CRUD (Create, Read, Update, Delete) Operations

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Cleanup

Removing Resources from AWS Console

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Testing

Writing unit tests of our functions that we deploy to AWS Lambda, to ensure everything works.

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Deploying Functions

Use PyCharm Professional to deploy your Lambda APIs.

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Invoking Functions Locally

Execute Lambda function inside a container through PyCharm Professional.

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Project Setup

Install AWS SAM (Serverless Application Model), AWS CLI & finally PyCharm Plugin AWS Toolkit.

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Exploring Project Structure

Launching up project in PyCharm Professional, installing plugin and exploring the project layout.

Tip

Database Visualization

Visualize the structure of a database with diagrams.

Author

Mukul Mantosh

Developer Advocate at JetBrains