#AWSTutorial

[rtsall]

Discover AWS 2023: A Beginner's Guide to AWS Tutorials and Its Positive Impact

Discover AWS 2023: In today's digital era, cloud computing has become the backbone of technological advancements. Among the giants in the cloud computing arena, Amazon Web Services (AWS) stands tall. In this beginner-friendly blog post, we'll delve into the world of AWS, exploring what it is, its myriad uses, the pay-as-you-go model, and the numerous advantages it offers.

What is AWS?

Amazon Web Services, often referred to as AWS, is a cloud computing platform provided by Amazon.com. It offers a wide array of cloud services, allowing businesses and individuals to access a scalable and cost-effective computing environment. Let's break it down further: Cloud Computing Defined: Understand the concept of cloud computing and how AWS fits into this paradigm. AWS Services: Explore the diverse range of services AWS offers, from computing power and storage to machine learning and IoT. Global Reach: Discover AWS's extensive global network of data centers and regions.

Uses of AWS | AWS Tutorials

AWS is not limited to a single purpose; it caters to various industries and use cases. Here's a look at some of the most common applications of AWS: Website Hosting: Learn how AWS is an excellent choice for hosting websites and web applications. Data Storage: Explore AWS's storage solutions, including S3 and Glacier, for secure data storage and backup. Big Data Analytics: Discover how AWS helps organizations process and analyze massive amounts of data. Machine Learning and AI: Dive into the world of artificial intelligence and machine learning with AWS. Read Also: AWS Basics

Pay-As-You-Go

One of the standout features of AWS is its pay-as-you-go pricing model. This flexible approach to payment has transformed the way businesses handle their IT expenses. Let's dig deeper: Cost Management: Understand how AWS's pricing works and how it can benefit your budget. Scalability: Explore how the pay-as-you-go model allows you to scale resources up or down as needed. Free Tier: Learn about AWS's free tier offerings for newcomers to get hands-on experience.

Advantages of AWS

AWS boasts several advantages that make it a top choice for businesses of all sizes. Here are some key benefits: Reliability and Availability: Discover how AWS ensures high uptime and reliability for your applications. Security: Learn about AWS's robust security measures and how they protect your data. Scalability: Delve into the scalability features that enable your business to grow without limitations. Global Reach: Explore how AWS's global infrastructure can expand your business's reach.

The Evolution and History of Amazon Web Services (AWS)

Genesis of AWS (2002-2006) In the early 2000s, Amazon.com, primarily an online retail giant, began investing heavily in its IT infrastructure to support its rapid expansion. This period laid the foundation for AWS: Inception: Understand how Amazon's need for a more efficient and scalable infrastructure led to the birth of AWS. Launch of S3 and EC2: Explore the launch of Amazon S3 (Simple Storage Service) and EC2 (Elastic Compute Cloud) in 2006, marking AWS's official entry into the cloud market. AWS's Early Growth (2007-2010) The initial years were marked by AWS's growing presence and continuous innovation: Expanding Service Portfolio: Witness the introduction of various services, including Amazon RDS (Relational Database Service) and Amazon SQS (Simple Queue Service). Widespread Adoption: Understand how startups and enterprises started adopting AWS, realizing its potential to reduce costs and increase flexibility. The AWS Marketplace (2011-2015) This period saw AWS expanding its global reach and services: Global Infrastructure: Learn about AWS's global expansion, with the opening of data centers in different regions worldwide. Ecosystem Growth: Discover how AWS Marketplace fostered a thriving ecosystem of third-party software vendors. Enterprise Adoption and Dominance (2016-Present) In recent years, AWS has solidified its position as a leader in cloud computing: Enterprise Solutions: Explore how AWS provided tailored solutions for large enterprises, including Netflix and NASA. Innovation and Diversification: Witness AWS's foray into advanced technologies such as artificial intelligence, machine learning, and IoT. AWS Today and Beyond Today, AWS offers a vast array of services and continues to shape the future of technology: Service Domains: Explore AWS's extensive service domains, including computing, storage, databases, and more. Global Impact: Recognize AWS's role in powering critical infrastructure during the COVID-19 pandemic and supporting sustainability initiatives. Read the full article

[cloudolus]

Amazon RDS Performance Insights | Monitor and Optimize Database Performance

Amazon RDS Performance Insights is an advanced monitoring tool that helps you analyze and optimize your database workload in Amazon RDS and Amazon Aurora. It provides real-time insights into database performance, making it easier to identify bottlenecks and improve efficiency without deep database expertise.  

Key Features of Amazon RDS Performance Insights:  

✅ Automated Performance Monitoring – Continuously collects and visualizes performance data to help you monitor database load.   ✅ SQL Query Analysis – Identifies slow-running queries, so you can optimize them for better database efficiency.   ✅ Database Load Metrics – Displays a simple Database Load (DB Load) graph, showing the active sessions consuming resources.   ✅ Multi-Engine Support – Compatible with MySQL, PostgreSQL, SQL Server, MariaDB, and Amazon Aurora.   ✅ Retention & Historical Analysis – Stores performance data for up to two years, allowing trend analysis and long-term optimization.   ✅ Integration with AWS Services – Works seamlessly with Amazon CloudWatch, AWS Lambda, and other AWS monitoring tools.  

How Amazon RDS Performance Insights Helps You:  

🔹 Troubleshoot Performance Issues – Quickly diagnose and fix slow queries, high CPU usage, or locked transactions.   🔹 Optimize Database Scaling – Understand workload trends to scale your database efficiently.   🔹 Enhance Application Performance – Ensure your applications run smoothly by reducing database slowdowns.   🔹 Improve Cost Efficiency – Optimize resource utilization to prevent over-provisioning and reduce costs.  

How to Enable Amazon RDS Performance Insights:   1️⃣ Navigate to AWS Management Console.   2️⃣ Select Amazon RDS and choose your database instance.   3️⃣ Click on Modify, then enable Performance Insights under Monitoring.   4️⃣ Choose the retention period (default 7 days, up to 2 years with paid plans).   5️⃣ Save changes and start analyzing real-time database performance!  

Who Should Use Amazon RDS Performance Insights?   🔹 Database Administrators (DBAs) – To manage workload distribution and optimize database queries.   🔹 DevOps Engineers – To ensure smooth database operations for applications running on AWS.   🔹 Developers – To analyze slow queries and improve app performance.   🔹 Cloud Architects – To monitor resource utilization and plan database scaling effectively.  

Amazon RDS Performance Insights simplifies database monitoring, making it easy to detect issues and optimize workloads for peak efficiency. Start leveraging it today to improve the performance and scalability of your AWS database infrastructure! 🚀  

**************************** *Follow Me* https://www.facebook.com/cloudolus/ | https://www.facebook.com/groups/cloudolus | https://www.linkedin.com/groups/14347089/ | https://www.instagram.com/cloudolus/ | https://twitter.com/cloudolus | https://www.pinterest.com/cloudolus/ | https://www.youtube.com/@cloudolus | https://www.youtube.com/@ClouDolusPro | https://discord.gg/GBMt4PDK | https://www.tumblr.com/cloudolus | https://cloudolus.blogspot.com/ | https://t.me/cloudolus | https://www.whatsapp.com/channel/0029VadSJdv9hXFAu3acAu0r | https://chat.whatsapp.com/BI03Rp0WFhqBrzLZrrPOYy *****************************

*🔔Subscribe & Stay Updated:* Don't forget to subscribe and hit the bell icon to receive notifications and stay updated on our latest videos, tutorials & playlists! *ClouDolus:* https://www.youtube.com/@cloudolus *ClouDolus AWS DevOps:* https://www.youtube.com/@ClouDolusPro *THANKS FOR BEING A PART OF ClouDolus! 🙌✨*

[inextures]

AWS Lambda Functions: A Comprehensive Guide

Introduction to AWA Lambda

AWS Lambda, an imaginative and effective cloud-based platform that permits developers to run their code without the complexity of overseeing servers, introduces you to the universe of serverless computing. 

Whether you’re new to AWS Lambda or need to look for some way to improve on your insight, this thorough guide will walk you through the ins and outs of Lambda functions, from the fundamentals of setting up your first function to more complex subjects like managing resources and optimizing performance.  

Toward the finish of this, you’ll have a strong groundwork to start utilizing AWS Lambda for your own projects, as well as a large number of ideas and best practices to make your serverless journey a smooth and successful one. Let’s get started!

What is AWS Lambda?

AWS Lambda is an Amazon Web Services (AWS) serverless computing technology that allows developers to run code without installing or managing servers and automatically grows compute capacity based on incoming requests or events.

Benefits of AWS Lambda for Cloud Computing

Event-Driven: AWS Lambda functions are triggered by events. These events can originate from various sources, including HTTP requests through Amazon API Gateway, changes to data in Amazon DynamoDB, messages from Amazon Simple Queue Service (SQS), file uploads to Amazon S3, custom events, and more.

Auto-Scaling: AWS Lambda automatically scales your functions in response to the number of incoming events. It can handle a single request or millions of requests simultaneously, ensuring that there are enough resources allocated to process each event efficiently.

Pay-As-You-Go Pricing: With AWS Lambda, you only pay for the compute time your code consumes, measured in milliseconds. There are no upfront costs or charges for idle resources, making it cost-effective for applications with varying workloads.

Supported Languages: AWS Lambda supports multiple programming languages, including Node.js, Python, Java, Ruby, Go, .NET Core, and custom runtime options. This allows developers to write functions in their preferred language.

Stateless: Functions executed in AWS Lambda are designed to be stateless. Any required state or data must be stored externally, such as in databases, Amazon S3, or other AWS services.

Custom Runtimes: In addition to the supported languages, you can create custom runtimes, allowing you to run code in almost any language as a Lambda function.

Versioning and Aliases: AWS Lambda provides versioning and aliasing capabilities, allowing you to manage and control different versions of your functions. This is useful for deploying and testing new code without affecting the production environment.

No Server Management: Lambda abstracts away the complexities of server management. You don’t need to provision, configure, or maintain servers. This saves you time and resources that can be better spent on developing and improving your code.

Security and Compliance: AWS Lambda offers built-in security features, including Identity and Access Management (IAM) for fine-grained access control, VPC integration for private network access, and encryption for data at rest and in transit. AWS also provides compliance certifications for Lambda, making it suitable for regulated industries.

Low Latency: Lambda functions can execute quickly, often within milliseconds. This low latency is essential for building responsive and real-time applications.

Easy Integration: Lambda seamlessly integrates with other AWS services, such as Amazon S3, DynamoDB, SQS, and more. This simplifies building complex, serverless architectures that leverage the entire AWS ecosystem.

 Use Cases for AWS Lambda

Real-time File Processing: Lambda can be triggered when files are uploaded to Amazon S3, allowing you to process, transform, or analyze the contents of the file in real time. This is useful for image and video transcoding, data validation, and log analysis.

Web Application Backends: Lambda functions can power the backend of web applications by handling HTTP requests via Amazon API Gateway. You can build RESTful APIs, microservices, and serverless web applications.

IoT (Internet of Things): AWS Lambda can process data from IoT devices and sensors, allowing you to react to events from connected devices in real time. It’s often used in combination with AWS IoT Core.

Scheduled Tasks: Lambda can execute code on a schedule (e.g., cron-like jobs) to automate various tasks like data backups, report generation, and data clean-up.

Data Processing and ETL: Lambda can process and transform data in real-time or batch mode. It can be triggered by changes in a database, new data arriving in a data stream (e.g., AWS Kinesis), or on a schedule (e.g., regular data imports).

Custom APIs and Webhooks: Lambda can create custom APIs or webhooks for third-party integrations, allowing external systems to interact with your applications.

User Authentication and Authorization: Lambda can be used to implement custom authentication and authorization logic for user access to resources, such as verifying JWT tokens or checking user permissions before granting access.

Monitoring and Alerting: Lambda can monitor various AWS services and trigger alerts or take actions when specific conditions are met, such as scaling resources up or down based on metrics.

Key Concepts of AWS Lambda

Triggers:

Triggers are events that cause AWS Lambda functions to execute. When a specific event occurs, Lambda can be configured to respond automatically.

Some common trigger sources include:

Amazon S3: Lambda can be triggered when objects are created, updated, or deleted in an S3 bucket.

Amazon DynamoDB: Lambda can respond to changes in DynamoDB tables, such as new records being inserted, or existing ones being modified.

Amazon API Gateway: Lambda can serve as the backend for RESTful APIs or web services, executing code in response to HTTP requests.

AWS CloudWatch Events: You can create custom rules in CloudWatch to trigger Lambda functions based on various events, such as AWS service events or scheduled events (cron jobs).

Custom Events: You can define custom events and use them to trigger Lambda functions within your application.

Execution Environment:

The execution environment refers to the infrastructure and resources allocated to run a specific instance of a Lambda function.

Here are some key points about the execution environment:

Isolation: Each Lambda function execution is isolated from others. It doesn’t share resources or state with other executions.

Statelessness: Lambda functions are designed to be stateless, meaning they don’t retain information between executions. Any data needed for subsequent executions must be stored externally, such as in a database or Amazon S3.

Resource Allocation: AWS Lambda automatically allocates CPU power, memory, and network resources based on the function’s configuration. You specify the memory size, and CPU power scales proportionally.

Function Versions:

AWS Lambda allows you to create different versions of your Lambda functions. Each version represents a snapshot of your function’s code and configuration at a specific point in time.

Here’s how versions work:

Immutable: Once you publish a version, it becomes immutable, meaning its code and configuration cannot be changed. This ensures that your production environment remains stable.

Aliases: You can create aliases for your Lambda functions (e.g., “prod,” “dev,” “v1”) and associate them with specific versions. Aliases provide a way to route traffic to different versions of your function without changing the function’s invocation code.

Rollback: If you discover issues with a new version, you can easily roll back to a previous, stable version by updating the alias to point to the desired version.

 AWS Lambda Function Architecture

Creating Your First Lambda Function in Java

AWS Account: You need an AWS account to create and deploy Lambda functions.

AWS CLI: Install and configure the AWS Command Line Interface (CLI) if you haven’t already. You can download it from the AWS website.

Java Development Environment: Make sure you have Java and Apache Maven or Gradle installed on your computer.

How to create your first Lambda function?

Step 1: Set Up Your Development Environment

Ensure you have the AWS CLI installed and configured with your AWS credentials.

Step 2: Create a Java Lambda Function Project

Open your terminal and navigate to the directory where you want to create your Lambda project.

Run the following command to create a new Java Lambda function project:

Here’s what each part of the command does:

–function-name: Specify a name for your Lambda function.

–runtime: Use java11 as the runtime for Java 11. You can also use java8 for Java 8.

–handler: Provide the handler information in the format package.ClassName::methodName. This is the entry point to your Lambda function.

–role: Replace arn:aws:iam::123456789012:role/lambda-role with the ARN of an existing IAM role with the necessary Lambda permissions.

This command will create a new directory with your function code and a function.zip file.

Step 3: Write Your Lambda Function Code

Step 4: Build and Package Your Lambda Function

In your terminal, navigate to your project directory.

Build your Java project using Maven or Gradle. For Maven, run:

mvn clean install

After building, create a deployment package (ZIP file) containing your Java code and its dependencies. You can find the packaged JAR file in the target directory (Maven).

zip -j function.zip target/your-java-jar.jar

Step 5: Deploy Your Lambda Function

Deploy your Lambda function by running the following AWS CLI command:

aws lambda update-function-code –function-name MyJavaFunction –zip-file         fileb://./function.zip

Your Lambda function is now deployed.

Step 6: Test Your Lambda Function

You can test your Lambda function using the AWS Lambda Management Console or the AWS CLI. For example, using the AWS CLI:

aws lambda invoke –function-name MyJavaFunction –payload ‘{}’ output.txt

cat output.txt

Summary

In the comprehensive guide to AWS Lambda Functions, we explore the core concepts and practical applications of this serverless compute service by Cloud computing service provider. AWS Lambda functions are event-driven, automatically scaling in response to incoming events, making them ideal for various workloads. With pay-as-you-go pricing, you only pay for the compute time your code consumes, making it cost-effective for dynamic applications.

We delve into key features, including support for multiple programming languages and custom runtimes, enabling developers to work in their preferred language. AWS Lambda emphasizes statelessness, requiring external storage for data persistence. The platform also provides robust security features, IAM roles, VPC integration, and encryption, ensuring data protection.

The guide highlights diverse use cases, such as real-time file processing, web application backends, IoT applications, scheduled tasks, and data processing. AWS Lambda integrates seamlessly with other AWS services, offering endless possibilities for building serverless architectures.

Key concepts like triggers, execution environments, function versions, and aliases are explained, giving readers a comprehensive understanding of Lambda’s architecture.

The guide also provides a step-by-step tutorial on creating a Java Lambda function, covering setting up the development environment, writing code, building, packaging, deploying, and testing the function.

By the end of this guide, readers will have a solid foundation in AWS Lambda Functions, empowering them to leverage the full potential of serverless computing in their projects.

Originally published by: AWS Lambda Functions: A Comprehensive Guide

[tutorialsfor]

AWS Tutorial: Set Default Region in AWS Console | Simplify Your Workflow by TutorialsFor #awstutorial #saifosys #DevOps "Learn how to set a default region in the AWS console, saving you time and effort when working with AWS services. This quick tutorial guides you through the process, ensuring you can focus on your projects without region-related hassles. Follow along and boost your AWS productivity!" - AWS - Amazon Web Services - Default Region - AWS Console - Cloud Computing - AWS Tutorial - AWS Training - AWS - AWS Console - Default Region - AWS Services - Cloud Computing - AWS Tutorial - AWS Training - Amazon Web Services - Cloud Platform - AWS Productivity - AWS Tips - AWS Best Practices "AWS default region" "Set default region AWS" "AWS console default region" "AWS region selection" - "AWS default region setting" - "AWS console region" - "AWS services region" - "AWS cloud region" "How to set default region in AWS console" - "AWS default region for beginners" - "AWS region selection best practices" - "AWS console region management" https://www.youtube.com/watch?v=csEQO6BB4tE

[codeonedigest]

Terraform Tutorial & Project Setup | Create AWS EC2 Instance Using Terra... Full Video Link -      https://youtu.be/Vf6g1EB3ukQ Check out this new video on the CodeOneDigest YouTube channel! Learn terraform tool and infrastructure as code with example. Learn how to create aws resources using terraform scripts. #video #terraform #iac #infrastructureascode #aws #codeonedigest@java @awscloud @AWSCloudIndia @YouTube @codeonedigest #aws #terraform #iac #infrastructureascode #aws #terraform #devops #awscloud #awstraining #awstutorial #terraformtutorial #terraformtutorialforbeginners #terraformdevopstutorial #terraformprojectaws #terraformprojectstructure #terraformprojectsforbeginners #terraformfundamentals #terraformscriptforec2instance #terraformscripttocreateec2instance #terraformscripttutorial #createec2instanceusingterraform #createec2instanceinaws #terraformvariablestutorial #terraformvariables #tfvstfvars

[awstraininginpune]

Best AWS Online Training & Certification in Pune, AWS Online Training offers you Learning with High Paying Placement. Become a master in AWS with

Flexible Timing Batches Placement Assistance Weekdays and Weekend Batches Affordable Free Structure

Get registered at https://awstraininginpune.com/courses/aws-online-training/

Or give a Call on 7410073340

[ayushintellipaat]

AWS is the largest cloud player in the market today. According to Forbes, AWS grew US$2.3 billion in revenue just in the second quarter of 2019.

AWS alone owns around 40 percent market share in the market, which is huge when you compare it with the second-largest cloud provider, i.e., Microsoft Azure, which owns around 16 percent of the market.

[akshay-09]

This AWS full course is an end to end aws tutorial where you will learn aws from scratch & master all the advanced concepts quite easily.

[omgniketan123-blog]

Aws Online Training classes start from 30th Oct 2019

Timing : 7:00 AM IST

https://bigclasses.com/contact.html

For More Details Contact  

IND: +91 800 811 4040 USA: +1 732 325 1626 Email: info@bigclasses.com

[srimanit]

✍️Enroll Now: https://bit.ly/2WlJrFJ 🔥Special Offer Rs. 12,000/- Only 👉Attend FREE Online Demo on DevOps with AWS Weekend By Real-Time Expert | Sriman IT 📅Start Date: 21st & 22nd August @ 10:00 AM IST For More Details: Call: +91-9985014433 WhatsApp: 9985024433 📪Email: info@srimanit.com 🌐Website: www.srimanit.com 📩Join us on Telegram : https://t.me/sriman_it 📩Subscribe Our YouTube Channel : https://www.youtube.com/channel/UC26qAebkJyZ-e7k26refLVA 📩Join us on Facebook : https://www.facebook.com/SrimaniTech/ 📩Join us on Instagram : https://www.instagram.com/sriman_it/ 📩 Join us on Twitter : https://twitter.com/sriman_it 💥Features of Online Training ✅ Real-Time Oriented Training ✅ Live Training Sessions ✅ Interview Preparation Tips ✅ FAQ’s #devops #aws #awscloud #devopswithaws #awswithdevops #devopsengineer #amazonwebservices #awsservice #amazonwebservicestraining #amazonwebservice #amazontraining #amazoncloudcomputing #devopstraining #devopstrainingonline #devopswebdevelopers #devopstutorialforbeginners #devopstutorial #awstutorialforbeginners #awstutorials #devopsaws #devopsawstraining #awsdevops #awsdevopstraining #devopsonlinetraining #devopsonlinecourse #devopsonlineclasses #devopsonlinedemo #awsonlinetraining #awsonlineclasses (at Hyderabad, India) https://www.instagram.com/p/CSzCG_EJuyo/?utm_medium=tumblr

[sonalchawhan]

Creating and Migrating a Data Warehouse on Cloud using AWS Platform

https://www.bisptrainings.com/Courses/Creating-and-Migrating-a-Data-Warehouse-on-Cloud-using-AWS-Platform

In this course, the students will learn, how to create a new Data Warehouse on Cloud and migrate an existing Data Warehouse on Cloud, using AWS Platform.  

[cloudolus]

How to Scale Amazon RDS | Optimize Database Performance and Capacity

Step 1: Access the Amazon RDS Console - Log in to the AWS Management Console. - Navigate to the RDS service.

Step 2: Vertical Scaling - Modify Instance Size - Select the RDS instance you want to scale from the Databases section. - Click on "Modify." - Choose a larger DB instance class under Instance specifications. - Click "Continue," then "Modify DB Instance." - Choose whether to apply the change immediately or during the next maintenance window.

Step 3: Horizontal Scaling - Set Up Read Replicas - Select the RDS instance you want to replicate. - Click on "Actions," then "Create read replica." - Choose the DB instance class and Multi-AZ options if required. - Configure the VPC, subnet group, and security groups. - Click "Create read replica."

Step 4: Enable Multi-AZ Deployment - Select your RDS instance from the Databases section. - Click on "Modify." - Under Availability & durability, check the Multi-AZ deployment option. - Click "Continue," then "Modify DB Instance."

Step 5: Monitor Performance - In the RDS console, navigate to Monitoring. - Review metrics such as CPU utilization, memory usage, disk I/O, and database connections. - Use these metrics to determine if further scaling is necessary.  

***************************** *Follow Me* https://www.facebook.com/cloudolus/ | https://www.facebook.com/groups/cloudolus | https://www.linkedin.com/groups/14347089/ | https://www.instagram.com/cloudolus/ | https://twitter.com/cloudolus | https://www.pinterest.com/cloudolus/ | https://www.youtube.com/@cloudolus | https://www.youtube.com/@ClouDolusPro | https://discord.gg/GBMt4PDK | https://www.tumblr.com/cloudolus | https://cloudolus.blogspot.com/ | https://t.me/cloudolus | https://www.whatsapp.com/channel/0029VadSJdv9hXFAu3acAu0r | https://chat.whatsapp.com/D6I4JafCUVhGihV7wpryP2 *****************************

*🔔Subscribe & Stay Updated:* Don't forget to subscribe and hit the bell icon to receive notifications and stay updated on our latest videos, tutorials & playlists! *ClouDolus:* https://www.youtube.com/@cloudolus *ClouDolus AWS DevOps:* https://www.youtube.com/@ClouDolusPro *THANKS FOR BEING A PART OF ClouDolus! 🙌✨*

[ajaycotocus]

AWS Certified Solutions Architect Associate Tutorials March 2019 CloudFormation Part 7

[tutorialsfor]

Mastering AWS on Windows: Configure Multiple Accounts with Ease | AWS Tutorial for Beginners by TutorialsFor #ManagingMultipleAWSAccounts #DevOpsOnAWS #ManagingMultipleAWSAccounts Mastering AWS on Windows: Configure Multiple Accounts with Ease | AWS Tutorial for Beginners https://ift.tt/JpyRaw3 As a developer or DevOps engineer, managing multiple AWS accounts is a common scenario. You may have separate accounts for development, testing, and production environments or for different projects. When working with Terraform, a popular infrastructure-as-code tool, configuring AWS credentials on your Windows machine is essential. In this article, we will explore how to configure AWS on Windows for two accounts. Understanding AWS Credentials Before diving into the configuration process, it's crucial to understand AWS credentials. AWS uses access keys to authenticate and authorize API requests. Each account has a unique access key ID and secret access key. You can create multiple access keys for an account, but it's recommended to use a single key per account. Configuring AWS CLI on Windows To configure AWS on Windows, you'll use the AWS Command Line Interface (CLI). The AWS CLI is a unified tool that allows you to manage your AWS resources from the command line. Open the Command Prompt or PowerShell as an administrator. Run aws configure --profile account1 to set up your first AWS account. Enter your access key ID, secret access key, region, and output format. Configuring Additional AWS Accounts To configure additional AWS accounts, you'll use the --profile option with aws configure. This option allows you to create separate profiles for each account. Run aws configure --profile account2 to set up your second AWS account. Enter your access key ID, secret access key, region, and output format. Verifying Profiles To verify your profiles, run aws configure list. This command displays a list of all configured profiles. Name Value Type Location ---- ----- ---- -------- profile account1 manual ~/.aws/credentials profile account2 manual ~/.aws/credentials Switching Between Accounts To switch between accounts, set the AWS_PROFILE environment variable. This variable tells the AWS CLI which profile to use. Use set AWS_PROFILE=account1 to switch to your first account. Use set AWS_PROFILE=account2 to switch to your second account. Note: Make sure to replace ACCESS_KEY_ID_1, SECRET_ACCESS_KEY_1, ACCESS_KEY_ID_2, and SECRET_ACCESS_KEY_2 with your actual AWS access keys. By following these steps, you can configure AWS on your Windows machine for two accounts. #AWS #AWSTutorial #Windows #CloudComputing #DevOps #AWSCredentials #AWSCLI #MultipleAccounts #AWSConfiguration #CloudSecurity #AWSBestPractices #DevOpsTools #CloudEngineering #AWSSolutions #CloudComputingTutorial #ConfiguringAWSonWindows #ManagingMultipleAWSAccounts #AWSCredentialsManagement #CloudComputingForBeginners #DevOpsOnAWS https://www.youtube.com/watch?v=z-UwWhwiB3o

[codeonedigest]

Create AWS SFTP Server with Amazon S3 Bucket | Setup SFTP Server in AWS Full Video Link -       https://youtu.be/bgP9rtAH_YQ Check out this new video on the CodeOneDigest YouTube channel! Learn how to create SFTP server in AWS with Amazon S3 bucket and how to control access via IAM role and policy. How to create SFTP server using S3 bucket controlled by SFTP user. #video #sftp #s3 #awss3 #sftpserver #iamrole #policy #codeonedigest@java @awscloud @AWSCloudIndia @YouTube @codeonedigest #aws #sftp #amazonwebservices #awscloud #awstutorial #awstraining #awssftpconnector #awstransferfamily #awstransferfamilys3bucket #awstransferfamilysftpconnector #awssftpserver #amazontransferfamily #amazontransferfamilysftp #sftpfiletransfer #sftpserversetup #createsftpserverinAWS #createsftpserverwithS3bucket #setupsftpserver #awsfiletransferfamily #awss3buckettutorial #awss3tutorial #s3bucketpolicy #iamroleandpolicy #bucket