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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 Security the real challenges you need to look in

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cloud challenges
You may curious that cloud computing will solve all your problems. In reality, there is security problem. That is- data security problem. I am just explaining my thoughts on data security in cloud. Really many security professional need in future.

Data is crucial to any organization. When data leaks into public, organization may collapse and loose its business.

Try to understand where we lack on data security.




Challenges in data security


security

Existing Methods


The challenge in addressing this threats of data loss and data leakage is that "the measures you put in place to mitigate one can exacerbate the other," according to the report.

You could encrypt your data to reduce the impact of a breach, but if you lose your encryption key, you'll lose your data. However, if you opt to keep offline backups of your data to reduce data loss, you increase your exposure to data breaches.

Cloud security problems


  1. Data loss: the prospect of seeing your valuable data disappear into the ether without a trace. A malicious hacker might delete a target's data out of spite -- but then, you could lose your data to a careless cloud service provider or a disaster, such as a fire, flood, or earthquake. Compounding the challenge, encrypting your data to ward off theft can backfire if you lose your encryption key.
  2. Legal issues: Data loss isn't only problematic in terms of impacting relationships with customers, the report notes. You could also get into hot water with the feds if you're legally required to store particular data to remain in compliance with certain laws, such as HIPAA.
  3. Hijacking: The third-greatest cloud computing security risk is account or service traffic hijacking. Cloud computing adds a new threat to this landscape, according to CSA. If an attacker gains access to your credentials, he or she can eavesdrop on your activities and transactions, manipulate data, return falsified information, and redirect your clients to illegitimate sites. "Your account or services instances may become a new base for the attacker. From here, they may leverage the power of your reputation to launch subsequent attacks," according to the report. As an example, CSA pointed to an XSS attack on Amazon in 2010 that let attackers hijack credentials to the site.

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