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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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Cloud Storage the real Points You Need to Read Now

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There are hundreds of different cloud storage systems, and some are very specific in what they do.

Some are niche-oriented and store just email or digital pictures, while others store any type of data. Some providers are small, while others are huge and fill an entire warehouse.
Google Data Center

In this post, you will know about:
  1. Storage in Cloud
  2. The inside details of Cloud
  3. New things in Cloud Storage

Storage of CLOUD

One of Google’s data centers in Oregon is the size of a football field and houses thousands of servers. 

The inside details of  Cloud Storage

  • At the most rudimentary level, a cloud storage system just needs one data server connected to the Internet. 
  • A subscriber copies files to the server over the Internet, which then records the data. 
  • When a client wants to retrieve the data, he or she accesses the data server with a web-based interface, and the server then either sends the files back to the client or allows the client to access and manipulate the data itself.
Cloud computing market
Market of cloud computing

What is new in Cloud Storage

The cloud storage systems utilize dozens or hundreds of data servers. Because servers require maintenance or repair, it is necessary to store the saved data on multiple machines, providing redundancy.

Without that redundancy, cloud storage systems couldn’t assure clients that they could access their information at any given time.

Most systems store the same data on servers using different power supplies. That way, clients can still access their data even if a power supply fails.

Many clients use cloud storage not because they’ve run out of room locally, but for safety. If something happens to their building, then they haven’t lost all their data. 

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