Thursday, 31 August 2023

Mastering Cloud Cost Optimization: Strategies for Efficiency and Savings


Introduction: In today's rapidly evolving digital landscape, businesses are increasingly relying on cloud services to scale their operations, enhance agility, and drive innovation. However, while the cloud offers numerous benefits, it's crucial to manage and optimize costs to avoid overspending. Cloud cost optimization is not just about reducing expenses; it's about achieving the right balance between performance, scalability, and cost-efficiency. In this blog post, we'll explore essential strategies and best practices to help you master cloud cost optimization.

  1. Rightsize Resources: One of the most effective ways to optimize cloud costs is rightsizing your resources. Often, instances or services are provisioned with more resources than they actually need, leading to wasted expenses. Regularly assess your workloads and applications to determine the appropriate resource allocations. Utilize cloud provider tools or third-party solutions to analyze usage patterns and adjust instance sizes accordingly.

  1. Utilize Auto-scaling: Auto-scaling allows your infrastructure to automatically adjust resources based on real-time demand. By implementing auto-scaling policies, you can ensure that you have enough resources to handle traffic spikes without over-provisioning during low-demand periods. This not only improves performance but also optimizes costs by only paying for the resources you actually use.

  2. Choose Cost-Effective Instance Types: Cloud providers offer various instance types optimized for different workloads. Selecting the right instance type for your applications can significantly impact cost efficiency. Instances optimized for compute-intensive tasks might not be the best choice for memory-bound workloads. Understand your application's requirements and choose instance types accordingly.

  3. Reserved Instances and Savings Plans: Cloud providers offer options like Reserved Instances or Savings Plans, allowing you to commit to using specific resources over a set period in exchange for significant cost savings. Evaluate your long-term needs and consider committing to these plans for stable workloads, as they can lead to substantial reductions in your overall cloud bill.

  1. Cloud Storage Optimization: Managing storage costs is crucial. Periodically review your data storage and classify it based on access frequency. Move infrequently accessed data to lower-cost storage tiers, like Amazon S3 Glacier or Azure Cool Storage. Implement data lifecycle policies to automatically transition data to cost-effective storage options.

  2. Serverless and Managed Services: Leverage serverless computing and managed services whenever possible. These services automatically handle scaling and resource allocation, eliminating the need for you to manage and pay for underlying infrastructure. This not only reduces operational overhead but also optimizes costs by charging you based on actual usage.

  3. Implement Cost Monitoring and Alerts: Regularly monitor your cloud expenses using built-in tools or third-party solutions. Set up alerts to notify you when costs exceed predefined thresholds. This proactive approach enables you to identify unexpected spending patterns and take immediate action to address them.

  1. Continuous Performance Optimization: Performance and cost optimization go hand in hand. Improving the efficiency of your applications and workloads can lead to reduced resource usage and, consequently, lower costs. Optimize code, database queries, and overall architecture to maximize the utilization of resources.

  2. Cloud Governance and Policies: Establish clear governance policies for resource provisioning and spending limits. Empower teams with budgets and guidelines to make informed decisions about resource usage. This encourages accountability and prevents unchecked spending.

  3. Regular Cost Reviews: Cloud cost optimization is an ongoing process. Schedule regular reviews with your teams to assess the effectiveness of optimization efforts. Cloud usage patterns change over time, so continuous evaluation ensures that you're adapting to new requirements and opportunities for cost savings.

Conclusion: Cloud cost optimization is an essential practice for modern businesses leveraging cloud services. By rightsizing resources, leveraging auto-scaling, choosing appropriate instance types, and adopting managed services, you can strike the right balance between performance and cost efficiency. Regular monitoring, governance, and a commitment to continuous improvement are key to mastering cloud cost optimization and achieving long-term savings.

Deploying a FastAPI and React Web Application on AWS EC2: A Comprehensive Guide


Deploying a FastAPI and React Web Application on AWS EC2: A Comprehensive Guide


In today's fast-paced world, building robust and efficient web applications is essential. Combining the power of FastAPI and React can lead to the creation of dynamic and high-performing web applications. This guide will walk you through setting up this potent combination on an AWS EC2 instance. We'll cover the infrastructural setup, initial steps, launching the instance, instance setup, and running your FastAPI-React application. 

Infrastructural Setup 

Before diving into the development process, let's make sure your infrastructure is properly configured:


Initial Steps:

1. IAM Role Setup: Begin by creating an IAM role with DynamoDB full access and CloudFront read-only permissions. Don't forget to grant these permissions to your user account as well.


2. Launch Instance: To set the stage, launch a new Amazon Linux instance. Opt for the "Amazon Linux" instance type and generate a new RSA key pair in `.pem` format. Configure network settings to allow SSH, HTTP, and HTTPS access from anywhere.


3. Instance Security Groups: Enhance security by editing the instance's IAM role to include the previously created role with DynamoDB and CloudFront access. Adjust the instance's security group settings to allow inbound custom TCP traffic on port 4004 for both IPv4 and IPv6 addresses.


4. Elastic IP Allocation: Secure a consistent IP address for your application by creating and allocating an Elastic IP address to your instance.


Instance Setup:

With the infrastructure in place, it's time to prepare your EC2 instance:


1. SSH into Instance: Open a terminal in the folder containing the downloaded `.pem` key file. Use the following command to establish an SSH connection to your instance:



   ssh -i abc.pem username@12.131.241.   # Replace with your public IP



2. Update and Install Dependencies: Once connected, ensure your system is up to date and install vital development tools. Install Python, Node.js, PM2, and Apache HTTP Server (HTTPD) to create a robust environment:



   sudo su

   sudo yum update -y

   sudo yum install -y gcc gcc-c++ make openssl-devel git python httpd

   curl --silent --location | sudo bash -

   sudo yum install -y nodejs

   sudo npm install pm2@latest -g

   pm2 startup



3. Install Python Package Manager (pip): Download and install `pip` to enable the easy installation of Python packages:



   curl -O

   python3 --user


   pip --version



4. Getting the Project: Clone your project repository onto the instance for further setup:



   cd /root

   git clone

   cd your_project



5. Edit Environment Variables: Adjust environment variables for both the frontend and backend components to ensure proper communication:



   vi yourproject_Frontend/.env  # Add your EC2 public IP

   vi yourproject_Backend/.env    # Remove sensitive keys

   chmod 700



6. Start HTTPD: Begin the Apache HTTP Server to serve your application to the world:



   service httpd start

   sudo service httpd status # Open your public IP in a browser to check



Running the Application:

With the setup complete, it's time to set your FastAPI and React application in motion:


1. Running the Code: Execute the `` script to launch your application. Think of `` as a recipe that guides your computer through the steps needed to bring your app to life:





Eg of file :



cd /var/www/html/

rm -rf *

cd /root/Demo_Pro/Frontend

npm i

npm run build

cd dist

cp -r . /var/www/html

cd /root/Demo_Pro/Backend

pip3 install -r requirements.txt

pm2 start 'uvicorn main:app --host --port 4004' --name Backend



Your FastAPI and React application is now up and running on your AWS EC2 instance.


Deploying a FastAPI and React application on an AWS EC2 instance involves careful attention to infrastructure, security, and deployment steps. By following this comprehensive guide, you've laid the foundation for a high-performance web application that can scale and deliver exceptional user experiences. Maintain your application's security and updates to ensure its continued success. The journey you've embarked on showcases the powerful synergy of FastAPI, React, and AWS in building modern web applications. Happy coding! 

Written by, Shubham Raut (Junior )

Monday, 31 July 2023

Streamlining Web Application Deployment with AWS Elastic Beanstalk


Streamlining Web Application Deployment with AWS Elastic Beanstalk

In the fast-paced world of web development, rapid and reliable deployment of applications is crucial for success. Amazon Web Services (AWS) Elastic Beanstalk, a fully managed Platform as a Service (PaaS) offering, simplifies deploying web applications by abstracting away the underlying infrastructure complexities. In this comprehensive guide, we will take you through every step of deploying your web application with AWS Elastic Beanstalk, enabling you to launch and scale your app with ease and efficiency.

Traditional application deployment often involves complex manual setups of servers, load balancers, and network configurations. Maintaining the infrastructure and ensuring high availability can become a burden for development teams. In contrast, AWS Elastic Beanstalk automates much of the deployment process, handling the infrastructure provisioning, scaling, and load balancing behind the scenes. This allows developers to focus on writing code and delivering new features, significantly reducing deployment time and effort.

Apart from its deployment simplicity, AWS Elastic Beanstalk offers several other use cases:

  • Easy Management: Elastic Beanstalk provides a user-friendly web interface and CLI tools, making it straightforward to monitor, scale, and update your applications.

  • Multi-Platform Support: Elastic Beanstalk supports a variety of programming languages and platforms, such as Node.js, Python, Java, .NET, Ruby, Go, and Docker, making it versatile for different application types.

  • Continuous Deployment: Integrate Elastic Beanstalk with AWS CodePipeline or other continuous integration tools to enable continuous deployment, automatically updating your application whenever new code is pushed to the repository.

  • Multiple Environment Management: Elastic Beanstalk allows you to create multiple environments, such as development, staging, and production, providing a seamless path to test changes before going live.

  • Blue-Green Deployment: Implement a blue-green deployment strategy with Elastic Beanstalk, where you can launch a new environment (green) alongside the existing one (blue) and instantly switch traffic to the new version.


Before diving into the deployment process, make sure you have the following prerequisites in place:

  • AWS Account: If you don't already have an AWS account, sign up for one at

  • AWS Command Line Interface (CLI): Install the AWS CLI to interact with AWS services from your terminal or command prompt.

  • Web Application: Prepare your web application code, ensuring it is ready to run without any local environment dependencies.

Steps for Streamlining Web Application Deployment with AWS Elastic Beanstalk

Step 1: Configure AWS CLI

To ensure smooth interactions with AWS services, configure your AWS CLI with the necessary access credentials. Open your terminal or command prompt and run the following command:

  • aws configure

You will be prompted to enter your AWS Access Key ID, Secret Access Key, default region, and output format. These credentials will be used to authenticate your AWS API requests.

Step 2: Package Your Web Application

Before proceeding with deployment, create a ZIP archive of your web application code, including all essential dependencies and configuration files. Ensure your application is fully self-contained and can run independently on Elastic Beanstalk.

Step 3: Create an Elastic Beanstalk Application

In the AWS Management Console, navigate to the Elastic Beanstalk service:

  • Click on "Create Application."

  • Provide a unique name for your application.

  • Choose the platform that aligns with your web application's technology stack (e.g., Node.js, Python, Java, .NET, etc.).

  • Click "Create."

Step 4: Deploy Your Application

  • In the Elastic Beanstalk dashboard, select your newly created application.

  • Click on "Create environment."

  • Choose "Web server environment."

  • Select an environment tier that suits your needs (e.g., Single instance or Load balanced).

  • Upload your application ZIP file in the "Upload your code" section.

  • Click "Create environment."

Elastic Beanstalk will automatically provision the necessary AWS resources and deploy your application. The deployment process may take a few minutes to complete.

Step 5: Access Your Application

Once the deployment is successful, Elastic Beanstalk will provide you with the URL of your web application. Simply visit the provided URL in your web browser to access your application.

Step 6: Monitoring and Scaling

Elastic Beanstalk comes with built-in monitoring and autoscaling features, ensuring your application's performance and availability.

  • In the Elastic Beanstalk dashboard, navigate to your environment.

  • Click on the "Monitoring" tab to view real-time performance metrics.

  • To enable autoscaling, click on "Configuration," and under the "Capacity" section, click "Modify." Adjust the auto-scaling settings according to your requirements.

Hands-on: let's create a todo list app 

Creating a to-do list app is a great example to showcase the deployment process using AWS Elastic Beanstalk. In this example, we'll build a simple to-do list application using Node.js, Express.js, and MongoDB for data storage. Then, we'll deploy it using AWS Elastic Beanstalk.

Step 1: Set Up the To-Do List App Locally

1. Install Node.js and MongoDB: If you don't have Node.js and MongoDB installed, download and install them from the official websites.

2. Create a New Project Directory: Create a new folder for your project and navigate to it in the terminal or command prompt.

3. Initialize a New Node.js Project: Run the following command to initialize a new Node.js project and create a package.json file:


   npm init -y


4. Install Express.js and other dependencies: Install Express.js, Mongoose (for MongoDB interaction), and other dependencies:


   npm install express mongoose body-parser ejs


5. Create the Server and Database Connection: Create a new file named `index.js` in your project directory and add the following code:


const express = require('express');

const bodyParser = require('body-parser');

const mongoose = require('mongoose');

const app = express();

app.set('view engine', 'ejs');

app.use(bodyParser.urlencoded({ extended: true }));

// Connect to MongoDB

mongoose.connect('mongodb://localhost/todo_list', {

  useNewUrlParser: true,

  useUnifiedTopology: true,


// Define the To-Do Schema and Model

const todoSchema = new mongoose.Schema({

  item: String,


const Todo = mongoose.model('Todo', todoSchema);

// Routes

app.get('/', (req, res) => {

  Todo.find({}, (err, todos) => {

    if (err) console.log(err);

    else res.render('index', { todos });


});'/add', (req, res) => {

  const newItem = req.body.newItem;

  const newTodo = new Todo({

    item: newItem,




app.listen(3000, () => {

  console.log('Server running on port 3000');



6. Create a new folder named `views` in your project directory. Within the `views` folder, create a new file named `index.ejs` and add the following content:


<!DOCTYPE html>



  <title>To-Do List App</title>



  <h1>To-Do List</h1>

  <form action="/add" method="POST">

    <input type="text" name="newItem" placeholder="Add a new task">

    <button type="submit">Add</button>



    <% todos.forEach((todo) => { %>

      <li><%= todo.item %></li>

    <% }) %>





Step 2: Test the To-Do List App Locally

1. Start MongoDB: Open a new terminal or command prompt and run `mongod` to start the MongoDB server.

2. Start the App: In another terminal or command prompt, run the following command in your project directory to start the app:


   node index.js


3. Open your web browser and navigate to `http://localhost:3000`. You should see the basic to-do list app, where you can add new tasks.

Step 3: Prepare the To-Do List App for Deployment

1. Update the MongoDB Connection URI: Modify the MongoDB connection URI in the `index.js` file to use the MongoDB service provided by AWS. Replace the local connection URI `'mongodb://localhost/todo_list'` with the connection URI for your AWS MongoDB instance.

2. Create an `.ebextensions` folder in your project directory.

3. Create a file within the `.ebextensions` folder named `mongodb.config` and add the following content to ensure Elastic Beanstalk can connect to the MongoDB instance:






Replace `YOUR_MONGODB_INSTANCE_URI` with the actual URI for your MongoDB instance on AWS.

Step 4: Deploy the To-Do List App to AWS Elastic Beanstalk

1. Install the AWS CLI: If you haven't installed the AWS CLI, do it by following the instructions on this page:

2. Configure AWS CLI: Run the following command and provide your AWS Access Key ID, Secret Access Key, default region, and output format as prompted:


aws configure


3. Initialize Elastic Beanstalk: Run the following command to initialize Elastic Beanstalk in your project directory:


eb init -p node.js-14.x my-todo-app


4. Create the Environment: Run the following command to create the environment for your application:


eb create my-todo-app-env


The deployment process may take a few minutes. Once it's completed, AWS Elastic Beanstalk will provide you with the URL of your deployed to-do list app. Visit the provided URL in your web browser to access your application.


Congratulations! You've successfully created a basic to-do list app using Node.js, Express.js, and MongoDB, and deployed it using AWS Elastic Beanstalk. AWS Elastic Beanstalk streamlines the process of deploying and managing web applications in the cloud, allowing you to concentrate on developing and enhancing your application while leaving the infrastructure management to AWS.

By following this comprehensive guide, you've harnessed the power of AWS Elastic Beanstalk to effortlessly deploy and scale your web application. As your app grows, you can take advantage of Elastic Beanstalk's monitoring and autoscaling capabilities to ensure optimal performance and scalability.

With Elastic Beanstalk's automated deployment and infrastructure management, you can confidently showcase your to-do list app to the world, knowing it's running smoothly on AWS. Embrace the simplicity and efficiency of AWS Elastic Beanstalk and streamline your web application deployment process like a pro.

Happy coding and best of luck with your web application journey!

Written by, Shubham Raut, Junior Developer

Mastering Cloud Cost Optimization: Strategies for Efficiency and Savings

  Introduction: In today's rapidly evolving digital landscape, businesses are increasingly relying on cloud services to scale their oper...