AWSCertCP: Tools & IDEs - AWS Cloud9, Plugins for IntelliJ, Microsoft Visual Studio, Visual Studio Code, Pycharm , Rider, Code Whisperer, Azure DevOps, WebStorm

AWS Cloud9 

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is a cloud-based integrated development environment (IDE) that lets you write, run, and debug your code with just a browser. It includes a code editor, debugger, and terminal. Cloud9 comes prepackaged with essential tools for popular programming languages, including JavaScript, Python, PHP, and more, so you don’t need to install files or configure your development machine to start new projects. Since your Cloud9 IDE is cloud-based, you can work on your projects from your office, home, or anywhere using an internet-connected machine. Cloud9 also provides a seamless experience for developing serverless applications enabling you to easily define resources, debug, and switch between local and remote execution of serverless applications. With Cloud9, you can quickly share your development environment with your team, enabling you to pair program and track each other's inputs in real time.

AWS Cloud9 gives you the flexibility to run your development environment on a managed Amazon EC2 instance or any existing Linux server that supports SSH. This means that you can write, run, and debug applications with just a browser, without needing to install or maintain a local IDE. The Cloud9 code editor and integrated debugger include helpful, time-saving features such as code hinting, code completion, and step-through debugging. The Cloud9 terminal provides a browser-based shell experience enabling you to install additional software, do a git push, or enter commands.

CODE TOGETHER IN REAL TIME

AWS Cloud9 makes collaborating on code easy. You can share your development environment with your team in just a few clicks and pair program together. While collaborating, your team members can see each other type in real time, and instantly chat with one another from within the IDE.

DIRECT TERMINAL ACCESS TO AWS

AWS Cloud9 comes with a terminal that includes sudo privileges to the managed Amazon EC2 instance that is hosting your development environment and a preauthenticated AWS Command Line Interface. This makes it easy for you to quickly run commands and directly access AWS services.

AWS Toolkit for IntelliJ IDEA

-----------------------------

The AWS Toolkit for IntelliJ IDEA is an open source plug-in that makes it easier to create, debug, and deploy Java and Python applications on Amazon Web Services. With the AWS Toolkit for IntelliJ IDEA, you can get started faster and be more productive when building applications AWS. The toolkit provides an integrated experience for developing serverless applications, including assistance for getting started, ML-powered code recommendations, step-through debugging, building, and deploying from the IDE.

Features are:

Select a quickstart serverless application template.

Accelerate application development: Build applications faster with automatic code recommendations based on your prior code and plain English comments with Amazon CodeWhisperer.

Deploy from the IDE: Deploy your serverless application in a few clicks.

Debug serverless apps locally: Set breakpoints and debug serverless applications locally.

Access CloudWatch from IDE: View and search for specific error codes or patterns from CloudWatch LogStream 

AWS Toolkit for PyCharm

------------------------

The AWS Toolkit for PyCharm is an open source plug-in for the PyCharm IDE that makes it easier to create, debug, and deploy Python applications on Amazon Web Services. With the AWS Toolkit for PyCharm, you can get started faster and be more productive when building applications with PyCharm on AWS. The toolkit provides an integrated experience for developing serverless applications, including assistance for getting started, ML-powered code recommendations, step-through debugging, and deploying from the IDE.

AWS Toolkit for Visual Studio

----------------------------

The AWS Toolkit for Visual Studio is an extension for Microsoft Visual Studio running on Microsoft Windows that makes it easier for developers to develop, debug, and deploy .NET applications using Amazon Web Services. With the AWS Toolkit for Visual Studio, you'll be able to get started faster and be more productive when building AWS applications.

The AWS Toolkit for Visual Studio is available via the Visual Studio Marketplace and supports Visual Studio 2022, 2019, and 2017. The AWS Toolkit for 2013 and 2015 is contained in the AWS SDK and Tools for .NET install package.

At this time, the AWS Toolkit for Visual Studio does not support Visual Studio for Mac.

AWS Toolkit for Visual Studio Code

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The AWS Toolkit for Visual Studio Code is an open source plug-in for the Visual Studio Code that makes it easier to create, debug, and deploy applications on Amazon Web Services. With the AWS Toolkit for Visual Studio Code, you will be able to get started faster and be more productive when building applications with Visual Studio Code on AWS. The toolkit provides an integrated experience for developing serverless applications, including assistance for getting started, ML-powered code recommendations, step-through debugging, and deploying from the IDE.

AWS Toolkit for Azure DevOps

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The AWS Toolkit for Azure DevOps is an extension for hosted and on-premises Microsoft Azure DevOps that make it easy to manage and deploy applications using AWS. If you already use Azure DevOps, the AWS Toolkit for Azure DevOps makes it easy to deploy your code to AWS using either AWS Elastic Beanstalk or AWS CodeDeploy. No changes to your existing build/release pipeline or processes are required to integrate with AWS Services. You can even deploy serverless applications and .NET Core C# functions to AWS Lambda. The AWS Toolkit for Azure DevOps allow you to deploy AWS CloudFormation templates, so you have an easy way to manage, provision, and update a collection of AWS resources from within Azure DevOps. The AWS Toolkit for Azure DevOps provides integration with many AWS services, which make it easy to store build artifacts in Amazon S3, run commands from the AWS Tools for Windows PowerShell and AWS CLI, and manage notifications through Amazon SNS or Amazon SQS queues.

NOTE: Usually these IDEs integrate with BeanStack or Code Deploy to deploy the app 

AWS Toolkit for Rider

--------------------

The AWS Toolkit for Rider is an open source plug-in for the Rider IDE that makes it easier to create, debug, and deploy .NET applications on Amazon Web Services. With the AWS Toolkit for Rider, you can get started faster and be more productive when building applications with Rider on AWS. The toolkit provides an integrated experience for developing serverless applications, including assistance for getting started, step-through debugging, and deploying from the IDE.

AWS Toolkit for WebStorm

------------------------

The AWS Toolkit for WebStorm is an open source plug-in for the WebStorm IDE that makes it easier to create, debug, and deploy Javascript applications on Amazon Web Services. With the AWS Toolkit for WebStorm, you can get started faster and be more productive when building applications with WebStorm on AWS. The toolkit provides an integrated experience for developing serverless applications, including assistance for getting started, ML-powered code recommendations, step-through debugging, and deploying from the IDE.

Amazon CodeWhisperer

--------------------

Amazon CodeWhisperer generates code suggestions ranging from snippets to full functions in real time in the IDE based on your comments and existing code. It also supports CLI completions and natural-language-to-bash translation in the command line.

Supercharge development with expert assistant Amazon Q

Amazon Q is an interactive, generative AI powered assistant available in the IDE via CodeWhisperer that gives you expert guidance through a simple conversational interface. Use Amazon Q in the IDE to:

Explain your code: Start a conversation with Amazon Q to understand your project code, all through natural dialogue.

Transform your code: Upgrade and migrate your application to the latest language version in minutes.

Get personalized code suggestions: Ask and Amazon Q can provide suggestions for adding unit tests, debugging, optimizing code, and more.

ode with confidence

CodeWhisperer can flag or filter code suggestions that resemble publicly available code. Get the associated open-source project’s repository URL and license so that you can more easily review them and add attribution.

Enhance code security

Scan your code to identify hard-to-find security vulnerabilities and get code suggestions to help remediate the identified issues. Generative AI-powered code suggestions are tailored to your application code, so you can quickly accept fixes with confidence and focus on higher-value work.

Use your favorite tools

CodeWhisperer fits the way that you work. Select from 15 programming languages, including Python, Java, and JavaScript, and your favorite integrated development environments (IDEs), including VS Code, IntelliJ IDEA, Visual Studio (preview), AWS Cloud9, the AWS Lambda console, JupyterLab, and Amazon SageMaker Studio, and your favorite CLIs including macOS Terminal, iTerm2, and the built-in VS Code terminal.

Customize CodeWhisperer for even better suggestions

You can customize CodeWhisperer to generate more relevant recommendations by making it aware of your internal libraries, APIs, packages, classes, and methods, significantly accelerating development.

references:

https://aws.amazon.com/codewhisperer/

AWSCertCP: AWS Encryption SDK

AWS Encryption SDK

-------------------

AWS encryption SDK is available for Python, 

The AWS Encryption SDK for Python provides a fully compliant, native Python implementation of the AWS Encryption SDK.

There are four main concepts that you need to understand to use this library:

Cryptographic Materials Managers

Cryptographic materials managers (CMMs) are resources that collect cryptographic materials and prepare them for use by the Encryption SDK core logic.

An example of a CMM is the default CMM, which is automatically generated anywhere a caller provides a master key provider. The default CMM collects encrypted data keys from all master keys referenced by the master key provider.

An example of a more advanced CMM is the caching CMM, which caches cryptographic materials provided by another CMM.

Master Key Providers

Master key providers are resources that provide master keys. An example of a master key provider is AWS KMS.

To encrypt data in this client, a MasterKeyProvider object must contain at least one MasterKey object.

MasterKeyProvider objects can also contain other MasterKeyProvider objects.

Master Keys

Master keys generate, encrypt, and decrypt data keys. An example of a master key is a KMS customer master key (CMK).

Data Keys

Data keys are the encryption keys that are used to encrypt your data. If your algorithm suite uses a key derivation function, the data key is used to generate the key that directly encrypts the data.

The Encryption SDK is available in below programming languages

AWS encryption SDK for C, Python Java, Javascript, .NET. 

AWS Database Encryption SDK 

--------------------------

The AWS Database Encryption SDK is a set of software libraries that enable you to include client-side encryption in your database design. The AWS Database Encryption SDK provides record-level encryption solutions. You specify which fields are encrypted and which fields are included in the signatures that ensure the authenticity of your data. Encrypting your sensitive data in transit and at rest helps ensure that your plaintext data isn’t available to any third party, including AWS. The AWS Database Encryption SDK is provided free of charge under the Apache 2.0 license.

The AWS Database Encryption SDK supports Amazon DynamoDB with attribute-level encryption. Version 3.x of the Java client-side encryption library for DynamoDB is a major rewrite of the DynamoDB Encryption Client for Java. It includes many updates, such as a new structured data format, improved multitenancy support, searchable encryption, and support for seamless schema changes.

Amazon S3 Encryption Client

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The Amazon S3 Encryption Client is a client-side encryption library that enables you to encrypt an object locally to ensure its security before passing it to Amazon Simple Storage Service (Amazon S3). Amazon S3 receives your object already encrypted; it does not play a role in encrypting or decrypting it. After you instantiate the Amazon S3 Encryption Client, your objects are automatically encrypted and decrypted as part of your Amazon S3 PutObject and GetObject requests. The Amazon S3 Encryption Client is provided free of charge under the Apache 2.0 license.

The Amazon S3 Encryption Client provides:

A default implementation that adheres to cryptography best practices

By default, the Amazon S3 Encryption Client generates a unique data key for each object that it encrypts. This follows the cryptography best practice of using unique data keys for each encryption operation.

The Amazon S3 Encryption Client encrypts your objects using a secure, authenticated, symmetric key algorithm.

A framework for protecting data keys with wrapping keys

The Amazon S3 Encryption Client protects the data keys that encrypt your objects by encrypting them under a wrapping key. With the Amazon S3 Encryption Client, you define a wrapping key by passing the key to the Amazon S3 Encryption Client, which it uses to optimize its settings.

references:

https://docs.aws.amazon.com/database-encryption-sdk/latest/devguide/what-is-database-encryption-sdk.html

AWSCertCP: AWS Cloud SDK, AWS Cloud9, AWS CloudFormation, AWS FIS (Fault Injection Service)

 AWS Cloud Development Kit

AWS Cloud Development Kit (AWS CDK) accelerates cloud development using common programming languages to model your applications.

Use cases:

Improve infrastructure and business logic: Develop applications more efficiently using AWS CDK as the main framework to define cloud infrastructure as code.

Provision your most common infrastructure patterns faster: Migrate complex backend infrastructure more efficiently, while integrating with continuous integration and delivery (CI/CD) pipelines.

Automate AWS service provisioning with Construct Hub: Discover and use AWS CDK constructs created by the developer community to programmatically create new microservices.

Write applications using tools built for the cloud: Accelerate transitions from brand-new to fully deployed infrastructure using TypeScript, Python, Java, .NET, and Go (in Developer Preview).

The AWS Cloud Development Kit (AWS CDK) is an open-source software development framework for defining cloud infrastructure as code (IaC). It allows developers to define cloud resources using familiar programming languages, such as TypeScript, JavaScript, Python, Java, and C#. The primary purpose of AWS CDK is to simplify and streamline the process of provisioning and managing AWS resources.

Key purposes and benefits of the AWS CDK include:

Programmatic Infrastructure as Code (IaC):

AWS CDK enables developers to define cloud infrastructure using the same programming languages they use for application development. This allows for a more programmatic and expressive approach to IaC.

Abstraction and Reusability:

CDK provides a high-level abstraction over AWS CloudFormation, allowing developers to use constructs (pre-built components) to define common patterns and services. This abstraction promotes reusability of code and infrastructure patterns across projects.

Familiar Programming Languages:

Developers can use languages like TypeScript, JavaScript, Python, Java, and C# to define infrastructure. This makes it easier for developers to leverage their existing skills and knowledge, reducing the learning curve associated with IaC.

Improved Developer Productivity:

With AWS CDK, developers can express infrastructure using modern programming paradigms, such as object-oriented programming and functional programming. This can lead to increased developer productivity and the ability to leverage IDE features for code completion, debugging, and refactoring.

Declarative and Imperative Styles:

AWS CDK supports both declarative and imperative styles for defining infrastructure. Developers can choose to define infrastructure using a high-level, declarative approach with constructs, or they can use a lower-level, imperative approach for more fine-grained control.

Seamless Integration with AWS Services:

AWS CDK integrates seamlessly with AWS services, allowing developers to define resources and configurations for a wide range of AWS services. This includes compute resources, databases, networking, security configurations, and more.

Consistency and Avoidance of Configuration Drift:

Since AWS CDK generates AWS CloudFormation templates under the hood, it helps maintain consistency in infrastructure definitions. Developers can apply version control and track changes, reducing the risk of configuration drift.

Ecosystem and Community:

AWS CDK has a growing ecosystem of libraries and constructs contributed by the community. Developers can leverage these reusable components to accelerate development and follow best practices.

AWS Cloud9 

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A cloud-based integrated development environment (IDE) that lets you write, run, and debug your code with just a browser.

Comes prepackaged with essential tools for popular programming languages, including JavaScript, Python, and PHP.

Quickly share your development environment with your team, enabling you to pair program and track each other's inputs in real time.

Integrated Tools for Serverless Development

AWS Cloud9 allows you to edit and debug AWS Lambda functions locally, which eliminates the need to upload your code to the Lambda console for debugging. The development environment is pre-packaged with SDKs, tools, and libraries needed for serverless application development. 

Broad Selection of Run Configurations

AWS Cloud9 supports over 40 programming languages and application types including JavaScript, Python, PHP, Ruby, Go, and C++. You can choose default run configurations or define custom configurations by specifying environment variables.

Direct Terminal Access to AWS

Terminal access includes sudo privileges to the managed Amazon EC2 instance that is hosting your development environment. This makes it easy for you to quickly run commands and directly access AWS services.

AWS Cloud Formation

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AWS CloudFormation lets you model, provision, and manage AWS and third-party resources by treating infrastructure as code.

AWS Toolkit for Azure DevOps

----------------------------

The AWS Toolkit for Azure DevOps is an extension for hosted and on-premises Microsoft Azure DevOps that make it easy to manage and deploy applications using AWS. If you already use Azure DevOps, the AWS Toolkit for Azure DevOps makes it easy to deploy your code to AWS using either AWS Elastic Beanstalk or AWS CodeDeploy

The AWS Toolkit for Azure DevOps allow you to deploy AWS CloudFormation templates, so you have an easy way to manage, provision, and update a collection of AWS resources from within Azure DevOps. The AWS Toolkit for Azure DevOps provides integration with many AWS services, which make it easy to store build artifacts in Amazon S3, run commands from the AWS Tools for Windows PowerShell and AWS CLI, and manage notifications through Amazon SNS or Amazon SQS queues.

Key Features are: 

Use Your Existing Azure DevOps Build/Release Process

Deploy .NET Applications Directly to AWS

Deploy Serverless .NET Applications to AWS Lambda

Manage Infrastructure as Code

AWS Fault Injection Service

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Part of AWS Resilience Hub, AWS Fault Injection Service (FIS) is a fully managed service for running fault injection experiments to improve an application’s performance, observability, and resilience. FIS simplifies the process of setting up and running controlled fault injection experiments across a range of AWS services, so teams can build confidence in their application behavior.

FIS provides the controls and guardrails that teams need to run experiments in production, such as automatically rolling back or stopping the experiment if specific conditions are met.

Use cases are:

Run a game-day simulation

Simulate previous failures, known process or team weaknesses, or seasonal spikes in demand, and monitor the performance of your system.

Integrate with your delivery pipeline:

Repeatedly test the impact of fault actions, such as injecting task-level container failures, as part of your software delivery process.

Run CPU stress on an instance

Test how your applications handle CPU stress and whether CPU utilization exceeds your specified threshold.

references:

https://d1.awsstatic.com/training-and-certification/docs-cloud-practitioner/AWS-Certified-Cloud-Practitioner_Exam-Guide.pdf

AWSCertCP: AWS DevOps and Automation Tools

Amazon CodeGuru Security 

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Amazon CodeGuru Security is a static application security testing (SAST) tool that combines machine learning (ML) and automated reasoning to identify vulnerabilities in your code, provide recommendations on how to fix the identified vulnerabilities, and track the status of the vulnerabilities until closure

Amazon CodeGuru Profiler helps developers find an application’s most expensive lines of code by helping them understand the runtime behavior of their applications, identify and remove code inefficiencies, improve performance, and significantly decrease compute costs. 

Benefits are:

Detect vulnerabilities at any stage of the development workflow

The CodeGuru Security API-based design provides integrate capabilities to use at any stage of the development workflow. Whether your organization adheres to the “shift left“ or “shift right” ideology, CodeGuru Security plugs into your continuous integration and delivery (CI/CD) tooling to help you identify vulnerabilities in your application code.

Start immediately without VM provisioning

There is no need to provision virtual machines (VMs) to run CodeGuru Security. Just integrate CodeGuru Security with your tooling, and it will scale up and down with your workload.

AWS CodeArtifact

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Secure, scalable, and cost-effective package management for software development

CodeArtifact allows you to store artifacts using popular package managers and build tools like Maven, Gradle, npm, Yarn, Twine, pip, NuGet, and SwiftPM. CodeArtifact can automatically fetch software packages on demand from public package repositories so you can access the latest versions of application dependencies.

AWS CodeCommit

---------------

AWS CodeCommit is a secure, highly scalable, fully managed source control service that hosts private Git repositories.

AWS CodePipeline:

-----------------

AWS CodePipeline is a fully managed continuous delivery service that helps you automate your release pipelines for fast and reliable application and infrastructure updates.

Define your pipeline structure: Update existing pipelines and provide templates for creating new pipelines with a declarative JSON document.

Receive notifications for events: Monitor events that impact your pipelines with Amazon Simple Notification Service (SNS), which provides a status message and link to the source of the event.

Control and grant access: Manage who can change and control your release workflow with AWS Identity and Access Management (IAM).

Integrate your own custom systems: Register a custom action and hook servers into your pipeline by integrating the CodePipeline open source agent with your servers.

AWS CodeBuild 

---------------

AWS CodeBuild is a fully managed continuous integration service that compiles source code, runs tests, and produces ready-to-deploy software packages.

Automate continuous integration and delivery (CI/CD) pipelines

Remove the complexity of managing build servers

Build source code hosted on GitHub

AWS CodeDeploy 

--------------

AWS CodeDeploy is a fully managed deployment service that automates software deployments to various compute services, such as Amazon Elastic Compute Cloud (EC2), Amazon Elastic Container Service (ECS), AWS Lambda, and your on-premises servers. Use CodeDeploy to automate software deployments, eliminating the need for error-prone manual operations.

AWS CodeStar

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This service is being discontinued and now will be replaced with AWS code catalyst 

AWS CodeCatalyst 

----------------

Streamline the development and delivery of scalable apps on AWS with an integrated experience. Amazon CodeCatalyst is a unified software development service that makes it easy for development teams to quickly build and deliver scalable applications on AWS, while adhering to organizational best practices.

Use Amazon Q feature development in CodeCatalyst to go from an idea in an issue to fully-tested, merge-ready application code with just natural language inputs, in just a few clicks.

CodeCatalyst project blueprints automatically set up everything you need to start a new software development project, including CI/CD, deployable code, issue tracking, and AWS services configured according to best practices. With custom blueprints, IT leaders can build their own templates to specify technology to be used by developer teams, control access to project resources and define testing and building methods.

CodeCatalyst Dev Environments are available on-demand in the cloud and are automatically created with branch code and consistent project settings, providing faster setup, development, and testing.

Start creating and assigning issues. Use priorities, estimates, labels, and custom fields to help your team prioritize what’s next. Exchange feedback on issues and pull requests with your team. Access protected resources with SSO without repeated logins and set project access permissions for several team members at a time.

Simplify the creation and customization of automated workflows by configuring pre-defined actions using the visual editor or directly editing the underlying YAML configuration. Along with a collection of CodeCatalyst actions, you can also use any GitHub Action in your workflows.

CodeCatalyst has built-in support for code coverage, software composition analysis, and unit tests. You can view your test results at a glance with automated visual test reporting.

CodeCatalyst makes it easy to deploy your application to AWS services such as AWS Lambda or Amazon ECS. You can deploy application stacks across accounts or AWS Regions by simply listing them as targets in your pipeline.

CodeCatalyst’s notifications and personalized activity feed help you stay updated on relevant project activity such as successful deployments or accepted pull requests.

AWS App Mesh

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AWS App Mesh provides application-level networking so your services can communicate across multiple types of compute infrastructure.

references:

https://aws.amazon.com/developer/tools/

https://codecatalyst.aws/explore

AWSCertCP: AWS Collaboration SDKs

Build real-time communication & collaboration experiences in your applications.

Amazon Chime SDK for JavaScript: 

------------------------------

The Amazon Chime SDK is a set of real-time communications components that developers can use to quickly add messaging, audio, video, and screen sharing capabilities to their web or mobile applications.

Developers can build on AWS's global communications infrastructure to deliver engaging experiences in their applications. For example, they can add video to a health application so patients can consult remotely with doctors on health issues, or create customized audio prompts for integration with the public telephone network.

The Amazon Chime SDK for JavaScript works by connecting to meeting session resources that you create in your AWS account. The SDK has everything you need to build custom calling and collaboration experiences in your web application, including methods to configure meeting sessions, list and select audio and video devices, start and stop screen share and screen share viewing, receive callbacks when media events such as volume changes occur, and control meeting features such as audio mute and video tile bindings.

Amazon Chime SDK for iOS

-----------------------

The Amazon Chime SDK for iOS makes it easy to add collaborative audio calling, video calling, and screen share viewing features to iOS applications by using the same infrastructure services that power meetings on the Amazon Chime service.

This Amazon Chime SDK for iOS works by connecting to meeting session resources that you have created in your AWS account. The SDK has everything you need to build custom calling and collaboration experiences in your iOS application, including methods to: configure meeting sessions, list and select audio devices, switch video devices, start and stop screen share viewing, receive callbacks when media events occur such as volume changes, and manage meeting features such as audio mute and video tile bindings.

Amazon Chime SDK for Android 

----------------------------

The Amazon Chime SDK for Android makes it easy to add collaborative audio calling, video calling, and screen share viewing features to Android applications by using the same infrastructure services that power meetings on the Amazon Chime service.

This Amazon Chime SDK for Android works by connecting to meeting session resources that you have created in your AWS account. The SDK has everything you need to build custom calling and collaboration experiences in your Android application, including methods to: configure meeting sessions, list and select audio devices, switch video devices, start and stop screen share viewing, receive callbacks when media events occur such as volume changes, and manage meeting features such as audio mute and video tile bindings.

references:

https://github.com/aws/amazon-chime-sdk-android/?pg=developertools

AWSCertCP: Amazon Tool Type : Command Line Tools

  

AWS Command Line Interface: 

-------------------------------------

The AWS Command Line Interface (AWS CLI) is a unified tool to manage your AWS services. With just one tool to download and configure, you can control multiple AWS services from the command line and automate them through scripts.

Usage is something like this

 aws ec2 describe-instances

 aws ec2 start-instances --instance-ids i-1348636c

 aws sns publish --topic-arn arn:aws:sns:us-east-1:546419318123:OperationsError --message "Script Failure"

 aws sqs receive-message --queue-url https://queue.amazonaws.com/546419318123/Test

 aws help

 aws autoscaling help

 aws autoscaling create-auto-scaling-group help

 aws s3 ls s3://mybucket

AWS Tools for PowerShell

------------------------

The AWS Tools for PowerShell let developers and administrators manage their AWS services and resources in the PowerShell scripting environment. Now you can manage your AWS resources with the same PowerShell tools you use to manage your Windows, Linux, and MacOS environments.

The AWS Tools for PowerShell lets you perform many of the same actions available in the AWS SDK for .NET. You can use it from the command line for quick tasks, like controlling your Amazon EC2 instances.

PS C:\> Start-EC2Instance -InstanceIds i-10a64379

The PowerShell scripting language lets you compose scripts to automate your AWS service management. The following example loops through a log directory on an EC2 instance, finds files older than one week, and then archives any non-empty ones to Amazon S3 before deleting the old log file from disk.

Lastly, with direct access to AWS services from PowerShell, your management scripts can now take advantage of everything the AWS cloud has to offer.

EC2 AMI tools

-------------

You can use the AMI tools to create and manage instance store-backed Linux AMIs. To use the tools, you must install them on your Linux instance. The AMI tools are available as both an RPM and as a .zip file for Linux distributions that don't support RPM.

ec2-ami-tools-version

Elastic Beanstalk environments with the EB CLI

----------------------------------------------

After installing the EB CLI and configuring your project directory, you are ready to create an Elastic Beanstalk environment using the EB CLI, deploy source and configuration updates, and pull logs and events.

Eb create

Eb status

Eb health

Eb events

Eb logs

Eb open

Eb deploy

Eb config

Eb terminate

ECS command line interface

---------------------------

The Amazon Elastic Container Service (Amazon ECS) command line interface (CLI) provides high-level commands to simplify creating, updating, and monitoring clusters and tasks from a local development environment. The Amazon ECS CLI supports Docker Compose files, a popular open-source specification for defining and running multi-container applications. Use the ECS CLI as part of your everyday development and testing cycle as an alternative to the AWS Management Console.

The latest version of the Amazon ECS CLI only supports the major versions of Docker Compose file syntax versions 1, 2, and 3. The version specified in the compose file must be the string "1", "1.0", "2", "2.0", "3", or "3.0". Docker Compose minor versions are not supported.

ecs-cli --version

ecs-cli configure profile --profile-name profile_name --access-key $AWS_ACCESS_KEY_ID --secret-key $AWS_SECRET_ACCESS_KEY

ecs-cli configure --cluster cluster_name --default-launch-type launch_type --region region_name --config-name configuration_name

AWS Amplify CLI

----------------

Amplify Studio allows you to use all the Amplify CLI's features without the need to configure it with AWS Identity and Access Management (IAM). Changes made in Amplify Studio can be made available in the CLI by running the amplify pull command. Similarly, CLI changes to the data model or auth will be visible in Amplify Studio. For all other categories, Studio provides links to the relevant service consoles in AWS.

npm install -g @aws-amplify/cli

amplify add storage

amplify push

AWS SAM CLI

------------

The AWS Serverless Application Model (SAM) CLI is an open-source CLI tool that helps you develop serverless applications containing Lambda functions, Step Functions, API Gateway, EventBridge, SQS, SNS and more. Some of the features it provides are:

Initialize serverless applications in minutes with AWS-provided infrastructure templates with sam init

Compile, build, and package Lambda functions with provided runtimes and with custom Makefile workflows, for zip and image types of Lambda functions with sam build

Locally test a Lambda function and API Gateway easily in a Docker container with sam local commands on SAM and CDK applications

Sync and test your changes in the cloud with sam sync in your developer environments

Deploy your SAM and CloudFormation templates using sam deploy

Quickly create pipelines with prebuilt templates with popular CI/CD systems using sam pipeline init

Tail CloudWatch logs and X-Ray traces with sam logs and sam traces

AWS Copilot command line interface

----------------------------------

The AWS Copilot command line interface (CLI) commands simplify building, releasing, and operating production-ready containerized applications on Amazon ECS from a local development environment. The AWS Copilot CLI aligns with developer workflows that support modern application best practices: from using infrastructure as code to creating a CI/CD pipeline provisioned on behalf of a user. Use the AWS Copilot CLI as part of your everyday development and testing cycle as an alternative to the AWS Management Console.

AWS Copilot currently supports Linux, macOS, and Windows systems.

References:

https://aws.amazon.com/developer/tools/

AWSCertCP: Differences between AWS LocalZone, AWS Wavelength

 AWS Wavelength Zones and AWS Local Zones are both infrastructure offerings from Amazon Web Services (AWS) designed to bring AWS services closer to end-users in specific geographic locations. However, they have different purposes and use cases:

AWS Wavelength Zones:

Purpose:

AWS Wavelength is designed to enable ultra-low latency applications for mobile and connected devices by deploying compute and storage resources at the edge of telecommunications networks.

Deployment:

Wavelength Zones are integrated into telecommunication providers' data centers, bringing AWS services closer to the edge of the 5G networks.

Use Cases:

Ideal for applications that require extremely low latency, such as augmented reality (AR), virtual reality (VR), gaming, and other real-time applications.

Latency Reduction:

Wavelength Zones aim to reduce the round-trip latency between the mobile or connected device and the application running in the AWS infrastructure.

Networking:

Optimized for applications that take advantage of 5G networks and the increased bandwidth and low latency they provide.

AWS Local Zones:

Purpose:

AWS Local Zones are designed to bring AWS services closer to large population centers, providing lower latency for a broad range of applications.

Deployment:

Local Zones are standalone data centers, separate from the primary AWS regions, located in or near major metropolitan areas.

Use Cases:

Suitable for applications that require lower latency but may not need the extreme low latency provided by Wavelength Zones. Use cases include content distribution, gaming, and various enterprise applications.

Availability:

AWS Local Zones provide a subset of AWS services available in the main AWS regions, offering a balance between lower latency and a wide range of available services.

Networking:

Networking in AWS Local Zones is designed to provide lower-latency access to AWS services compared to connecting to the primary AWS region.

Summary:

Latency Focus:

AWS Wavelength Zones focus on ultra-low latency for specific use cases, especially those leveraging 5G networks.

AWS Local Zones aim to reduce latency for a broader set of applications, providing lower latency access to a variety of AWS services.

Networking Infrastructure:

Wavelength Zones are tightly integrated with telecommunications networks to optimize for 5G connectivity.

Local Zones are standalone data centers designed to provide lower-latency access to AWS services for a range of applications.

Use Case Considerations:

Choose AWS Wavelength for applications with stringent latency requirements, especially those leveraging 5G capabilities.

Choose AWS Local Zones for applications that benefit from lower latency but do not require the extreme low latency provided by Wavelength, offering a broader range of available AWS services.

In summary, the choice between AWS Wavelength Zones and AWS Local Zones depends on the specific latency requirements of your applications and whether they are optimized for 5G networks.

references:

OpenAI