AWS DevOps Practices, Tools and Features

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AWS provides a wide range of tools and features that are highly beneficial for implementing DevOps practices.

DevOps culture

• Foster a highly collaborative environment;
• Implement automation when applicable;
• Focus on customer needs;
• Develop small and release often;
• Embed security in each phase;
• Continuously experiment and learn;
• Continuously improve.

Here’s a list of some key AWS tools and features commonly used in DevOps workflows:

AWS CloudFormation:

• Description: Infrastructure as Code (IaC) service that allows you to define and provision AWS infrastructure in a declarative way.
• Use Case: Automating the creation and management of AWS resources.

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AWS CodePipeline:

• Description: Continuous Integration and Continuous Deployment (CI/CD) service that automates the build, test, and deployment phases of the release process.
• Use Case: Creating and managing end-to-end CI/CD pipelines.

cloudjourney.io

Here is an article about the bad and good about pipeline: AWS CodePipeline: The Good and the Bad — Cloud Journey IO

AWS CodeBuild:

• Description: Fully managed build service that compiles source code, runs tests, and produces ready-to-deploy software artifacts.
• Use Case: Building and testing code in a CI/CD pipeline.

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AWS CodeDeploy:

• Description: Automates code deployments to various compute services like Amazon EC2, AWS Lambda, and more.
• Use Case: Deploying applications to different AWS services.

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AWS CodeCommit:

• Description: Fully managed source control service that hosts Git repositories.
• Use Case: Storing and version-controlling source code.

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AWS CodeStar:

• Description: Provides a unified user interface and integrations for developing, building, deploying, and managing applications on AWS.
• Use Case: Accelerating the development and deployment of applications.

AWS Elastic Beanstalk:

• Description: Fully managed service for deploying and scaling web applications and services.
• Use Case: Simplifying the deployment of applications without managing the underlying infrastructure.

AWS Lambda:

• Description: Serverless computing service that lets you run code without provisioning or managing servers.
• Use Case: Running code in response to events without managing servers.

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Amazon EC2 Auto Scaling:

• Description: Automatically adjusts the number of EC2 instances in a fleet based on demand or a defined schedule.
• Use Case: Ensuring the availability and scalability of applications.

Amazon CloudWatch:

• Description: Monitoring and observability service for AWS resources, applications, and services.
• Use Case: Collecting and visualizing logs, metrics, and alarms.

AWS Identity and Access Management (IAM):

• Description: Securely controlling access to AWS services and resources.
• Use Case: Managing permissions for users, groups, and roles.

Amazon VPC (Virtual Private Cloud):

• Description: Networking service that enables you to launch AWS resources into a virtual network.
• Use Case: Isolating and securing resources within a virtual network.

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These tools and features, when used in combination, help organizations automate, manage, and optimize their development and operational workflows in the AWS cloud environment. Integrating these services allows for efficient, scalable, and secure DevOps practices.