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DAY 35- DevOps on Amazon Web Services (AWS) – Day Thirty five

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100 days of Cloud on GitHub – Read On iCTPro.co.nz – Read on Dev.to


List of AWS services available to implement a successful DevOps methodology.

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☁️ Cloud 9

Amazon’s cloud-based IDE, which you can use to write, run, and debug your code with just a browser.

InfoLinks
AWS Cloud9Link
Introducing AWS Cloud9YouTube Link
Tutorial AWS Cloud9YouTube Link

🌈 AWS SDKs

Software development kits used to intract with AWS, a common way to intract with AWS api’s.

InfoLinks
SDKs and toolsLink
Getting Started with SDKsYouTube Link

🚰 AWS CodePieline

It can visualize your pipeline with real time status and retry failed actions. Also helps to consolidate source, build, and deploy tooling.

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

You can monitor using AWS CLI , Amazon EventBridge AWS code pipeline console, AWS CloudTrialhttps://www.youtube.com/embed/NCXzTgjUOQo

⛓️ AWS Codecommit

CodeCommit is your Code repo, a Git based source control service solution. In Simple your version control for your project files and source code.
You can also use Amazon ECR, Amazon S3, Github as your source to pipeline.

InfoLinks
Introduction to AWS CodeCommitYouTube Link
Continuous Integration Best PracticesYouTube Link

📟 AWS CodeBuild

Automates the code compile , run tests, build artifacts. You can specify commands to run each phase of build.
Leverage out of the box preconfigured build environments (such as .NET Core, Java, Ruby, Python, Go, NodeJS, Android and Docker).You can monitor build through cloud watch or other services. integrating SNS is also possible to get notification.

InfoLinks
AWS CodeBuild featuresLink
AWS CodeBuild TutorialYouTube Link

🚀 AWS CodeDeploy

  • You deploy code to server, serverless or container services. Code deploy can deploy your code to AWS Lambda, Amazon ECS, Amazon EC2, Fargate, AWS Elastic Beanstalk or on-premises.
  • You can also deploy servers concurently.
  • You can also control traffic from your old deployments to new deployments.
  • Automatic rollback for unsuccessful deployment.

🔭 AWS X-Ray

A Distributed request tracing service from AWS to understand errors , poor perfomance and pin point it.

Why use AWS x-ray?

  • AWS X-ray allows you to analyze and debug applications using distributed tracing.
  • Trace the exact root cause of issue , errors, and bottlenecks.

AWS X-Ray does application monitoring/perfomance similar to services from DATADOG NewRelic SignalFX Lumigo

InfoLinks
AWS X-Ray pricingLink
Use AWS X-Ray InsightsYouTube Link
Optimize Application Performance with AWS X-RayYouTube Link
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👀 Amazon Cloud Watch

Identify the AWS services used to automate the continuous integration and continuous
delivery process.

InfoLinks
DevOps and AWSLink

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By Anuvindh

ICT professional who is highly enthusiastic about Cloud technologies and Information Security.