How do I automate testing for AWS IAM in GitHub Actions?

Automate AWS IAM testing in GitHub Actions to ensure proper permissions and security configurations.
AWS IAM, GitHub Actions, automation, testing, DevOps, permissions, security
name: AWS IAM Testing on: push: branches: - main jobs: test-iam: runs-on: ubuntu-latest steps: - name: Checkout code uses: actions/checkout@v2 - name: Set up AWS CLI uses: aws-actions/configure-aws-credentials@v1 with: aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }} aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }} aws-region: us-east-1 - name: Test IAM Policy run: | # Add your IAM policy testing script here aws iam simulate-principal-policy --policy-source-arn arn:aws:iam::123456789012:role/MyRole --action-names "s3:ListBucket" --resource-arns "arn:aws:s3:::my-bucket" - name: Check results run: | # Check the output of the previous command and validate if [[ $(echo $result | jq '.EvaluationResults[0].EvalDecision') != "\"allowed\"" ]]; then echo "IAM policy validation failed!" exit 1 fi echo "IAM policy validation passed."

AWS IAM GitHub Actions automation testing DevOps permissions security

Related Questions

How do I avoid rehashing overhead with std::set in multithreaded code?

How do I find elements with custom comparators with std::set for embedded targets?

How do I erase elements while iterating with std::set for embedded targets?

How do I provide stable iteration order with std::unordered_map for large datasets?

How do I reserve capacity ahead of time with std::unordered_map for large datasets?

How do I erase elements while iterating with std::unordered_map in multithreaded code?

How do I provide stable iteration order with std::map for embedded targets?

How do I provide stable iteration order with std::map in multithreaded code?

How do I avoid rehashing overhead with std::map in performance-sensitive code?

How do I merge two containers efficiently with std::map for embedded targets?