AMAZON WEB SERVICES

In general, CodeBuild is a good choice for developers who need a simple and powerful build tool. CodeStar is a good choice for teams that need to manage the entire application development lifecycle.

AWS CodeBuild is a fully managed build service that compiles source code, runs tests, and produces software packages that are ready to deploy. It helps developers build and test code with continuous scaling, removing the hassle of managing physical servers. In simple words, it compiles your code, executes unit tests, and gives output artifacts that are ready to deploy.

AWS CodeStar is a service designed to manage application development in a single place. It provides a unified user interface for managing your source code repository, build and deployment pipeline, and infrastructure. CodeStar makes it easy for developers to quickly develop, build, and deploy applications on AWS.

AWS Cloud Development Kit (AWS CDK) is an open-source software development framework that uses familiar programming languages for modeling and provisioning cloud application resources. With the AWS CDK, you can define your cloud infrastructure in code and provision it using familiar tools like Terraform. This can help you to develop and deploy your applications faster and more reliably.

AWS CodeDeploy is a deployment service that makes it easy to automate the deployment of applications to Amazon EC2, AWS Fargate, AWS Lambda, and on-premises servers. With AWS CodeDeploy, you can deploy your applications with zero downtime and high availability.

AWS CodePipeline is a continuous delivery service that automates your release pipelines. With AWS CodePipeline, you can define a pipeline that builds, tests, and deploys your applications.

AWS Device Farm is a service that helps you test your web and mobile applications on a wide range of real devices and browsers. With AWS Device Farm, you can test your applications for compatibility, performance, and security.

Here are some of the specific managed database services that Amazon offers:

• Amazon Aurora: A high-performance relational database service that is compatible with MySQL and PostgreSQL.
• Amazon DynamoDB: A key-value and document database that delivers single-digit millisecond performance at any scale.
• Amazon ElastiCache: A caching service that makes it easy to deploy, operate, and scale an in-memory cache in the cloud.
• Amazon Keyspaces (for Apache Cassandra): A scalable, highly available, and managed Apache Cassandra–compatible database service.
• Amazon MemoryDB for Redis: A durable, in-memory database service that delivers ultra-fast performance.
• Amazon Neptune: A fast, reliable, fully-managed graph database service that makes it easy to build and run applications that work with highly connected datasets.
• Amazon Relational Database Service (Amazon RDS): A service that makes it easy to set up, operate, and scale a relational database in the cloud.
• Amazon Timestream: A fast, scalable, fully managed time series database service for IoT and operational applications.
• Amazon DocumentDB (with MongoDB compatibility): A fast, scalable, highly available, and fully managed document database service that supports MongoDB workloads.
• Amazon Lightsail managed databases: A service that provides separate managed databases for compute workloads.

AWS offers paid support plans for more comprehensive or immediate assistance, potentially incurring additional costs for users.

When transitioning to a Cloud Server on AWS, users might encounter cloud computing issues such as backup protection, occasional downtime, and limited controls.

AWS imposes default limits on resources like volumes, images, or snapshots, varying from region to region.

Sudden hardware system changes may result in cloud applications not delivering optimal performance.

App developers who want to combine AWS and DevOps successfully must keep in mind these best practices:

Continuous Integration/Continuous Delivery (CI/CD)

CI/CD pipelines are the lifeblood of the DevOps philosophy.

CI means building and regularly validating the project by updating code changes at set intervals.

CD builds off CI by automatically deploying code in the production environment.

Benefits of CI/CD:

• Faster software releases
• Improved software quality
• Reduced risk of failures

Infrastructure Automation

Infrastructure automation focuses on quality code and the need to test it at regular intervals automatically. This can be done using tools like AWS CodeBuild and AWS CodePipeline.

Benefits of infrastructure automation:

• Reduced errors
• Increased efficiency
• Improved software quality

Infrastructure as Code (IaC)

Provisions and manages your AWS cloud resources by writing a template file that is machine consumable and human-readable. The AWS CloudFormation tool is the go-to resource for AWS cloud development users.

Benefits of IaC:

• Consistent and repeatable infrastructure deployments
• Easy to share and collaborate on infrastructure
• Reduced risk of errors

Monitoring and Logging

Monitoring and logging all system activity needs to be monitored and recorded to assure that events get triggered at the right time, and also to correct anything that isn’t performing well.

• This can be done using tools like Amazon CloudWatch.
• Benefits of monitoring and logging:
• Improved visibility into system performance
• Reduced downtime
• Faster troubleshooting

Communication and Collaboration

Communication and collaboration every team and department needs to be on board with the project and stay informed. Additionally, there needs to be a forum to share useful feedback that may shape the course of the project.

Benefits of communication and collaboration:

• Improved team alignment
• Increased innovation
• Reduced risk of project failure