AWS Develops refers to the combination of practices, tools, and cultural philosophies that improve an organisations ability to deliver applications and services at high velocity using Amazon Web Services (AWS). By implementing Develops on AWS, teams can build, test, and release software faster and more reliably.
Key Concepts in AWS Develops
Continuous Integration and Continuous Deployment (CI/CD)
- Continuous Integration (CI): The practice of automatically building and testing code changes frequently to detect issues early.
- Continuous Deployment (CD): The practice of automatically deploying every change that passes the automated tests to production.
Infrastructure as Code (IaC)
- IaC: Managing and provisioning computing infrastructure through machine-readable definition files, rather than physical hardware configuration or interactive configuration tools. AWS services like AWS Cloud Formation, AWS CDK, and Terraform facilitate IaC.
Monitoring and Logging
- Continuous monitoring and logging provide visibility into the performance and health of the infrastructure and applications. AWS services like Amazon Cloud Watch, AWS X-Ray, and AWS CloudTrail help in monitoring and logging.
Microservices
- An architectural style that structures an application as a collection of small, loosely coupled, and independently deployable services. AWS services such as AWS Lambda, Amazon ECS, and Amazon EKS support microservices architectures.
Collaboration and Communication
- Enhanced collaboration and communication among development, operations, and other teams involved in software delivery. Tools like AWS Code Commit and AWS Code Star facilitate collaboration.
AWS Develops Tools
AWS Code Pipeline
- A fully managed CI/CD service that helps automate the build, test, and deploy phases of your release process every time there is a code change.
AWS CodeBuild
- A fully managed build service that compiles source code, runs tests, and produces software packages ready for deployment.
AWS Code Deploy
- A deployment service that automates application deployments to Amazon EC2 instances, on-premises instances, or server less Lambda functions.
AWS Code Commit
- A fully managed source control service that hosts secure Git-based repositories.
AWS CodeArtifact
- A fully managed artefact repository service that makes it easy for organisations to securely store, publish, and share software packages used in their development process.
AWS Cloud Formation
- A service that helps you model and set up your AWS resources so that you can spend less time managing those resources and more time focusing on your applications.
AWS Cloud Development Kit (CDK)
- An open-source software development framework to define your cloud application resources using familiar programming languages.
AWS Elastic Beanstalk
- An easy-to-use service for deploying and scaling web applications and services developed with Java, .NET, PHP, Node.js, Python, Ruby, Go, and Docker on familiar servers such as Apache, Nginx, Passenger, and IIS.
Benefits of Using AWS for DevOps
Scalability
- AWS provides scalable infrastructure that can easily grow or shrink based on demand.
Flexibility
- AWS supports a wide range of technologies and programming languages, giving teams the flexibility to use the tools they prefer.
Security
- AWS provides robust security features, including data encryption, identity and access management, and compliance with industry standards.
Cost Management
- AWS offers pay-as-you-go pricing, allowing teams to manage costs effectively and only pay for what they use.
Automation
- AWS services can automate various aspects of the Develops life cycle, from infrastructure provisioning to application deployment and monitoring.
Example Workflow
Code Commit
- Developers push code changes to a repository hosted on AWS Code Commit.
Build and Test
- AWS Code Pipeline triggers a build using AWS Code Build, which compiles the code and runs tests.
Deploy
- Upon successful build and test, AWS Code Pipeline triggers a deployment using AWS Code-deploy, which deploys the application to Amazon EC2 instances, ECS containers, or Lambda functions.
Monitor
- Amazon Cloud Watch monitors the application and infrastructure, providing metrics and logs for troubleshooting and performance optimisation.
Feedback
- The Develops team reviews the metrics and logs, making adjustments as necessary to improve the application and deployment process.
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