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How to Build CI/CD Pipeline: GitHub to AWS

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 Creating a CI/CD pipeline to deploy a project from GitHub to AWS can be done using various AWS services like AWS CodePipeline, AWS CodeBuild, and optionally AWS CodeDeploy or Amazon ECS for application deployment. Below is a high-level guide on how to set up a basic GitHub to AWS pipeline: Prerequisites AWS Account : Ensure access to the AWS account with the necessary permissions. GitHub Repository : Have your application code hosted on GitHub. IAM Roles : Create necessary IAM roles with permissions to interact with AWS services (e.g., CodePipeline, CodeBuild, S3, ECS, etc.). AWS CLI : Install and configure the AWS CLI for easier management of services. Step 1: Create an S3 Bucket for Artifacts AWS CodePipeline requires an S3 bucket to store artifacts (builds, deployments, etc.). Go to the S3 service in the AWS Management Console. Create a new bucket, ensuring it has a unique name. Note the bucket name for later use. Step 2: Set Up AWS CodeBuild CodeBuild will handle the build proces
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Top Data Science Tools Complete List

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Top data science tools and platform providers across the world. Useful information for data science and data analytics developers.

8 Top Data Analytics Tools List.


Data Science is a combination of multiple skills. AI and Machine Learning are part of data science. You can create AI and Machine Learning products with data.

best data science tools list

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  1. Mehak ShaikhNovember 7, 2019 at 4:00 PM

    hi

    ReplyDelete
  2. SriniNovember 8, 2019 at 1:12 PM

    Welcome to our data analytics blog. We show solutions for data analytics developer problems.

    ReplyDelete
  3. FAFREEDDecember 22, 2019 at 2:31 PM

    You made such an interesting piece to read, giving every subject enlightenment for us to gain knowledge. Thanks for sharing the such information with us to read this... Admond Lee

    ReplyDelete
  4. THE SMALL BUSINESS NETOWRKMarch 18, 2020 at 3:32 AM

    i never know the use of adobe shadow until i saw this post. thank you for this! this is very helpful. install tensorflow anaconda

    ReplyDelete

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