Let's walk through a basic setup of SonarQube using Docker, analyzing a simple Java backend and static front-end page. Start SonarQube Server : bash docker run -d --name sonarqube -p 9000 :9000 sonarqube:latest Create a sample project : index.html (Front-end) App.java (Backend) Install SonarScanner : Download and extract SonarScanner from the official website. Create a sonar-project.properties file : Text sonar.projectKey=my_project sonar.sources=. Run the analysis : bash path/to/sonar-scanner View the results in the SonarQube dashboard at http://localhost:9000. This simple setup demonstrates how easily teams can start benefiting from static code analysis. Let's look at a sample code with a simple java app, along with simple Jenkins pipeline and GitHub Actions workflow for a proof of concept (POC) demonstrating SonarQube integration. Index File Java App File Jenkins File GitHub Actions Workflow
AWS CloudTrail is an indispensable service for auditing and maintaining compliance in your AWS environment. Follow this step-by-step guide to set up and configure AWS CloudTrail to effectively monitor and track API activities within your account. Step 1: Sign in to AWS Management Console Log in to your AWS account using your credentials to access the AWS Management Console. Step 2: Navigate to AWS CloudTrail Once you are logged in, search for "CloudTrail" in the AWS Management Console search bar, and click on the "CloudTrail" service. Step 3: Create a CloudTrail Trail In the AWS CloudTrail dashboard, click on the "Trails" tab and then "Create trail." Step 4: Configure Trail Settings Give your trail a descriptive name and specify the bucket where you want the CloudTrail logs to be stored. You can either choose an existing S3 bucket or create a new one. Enable "Log file validation" to ensure the integrity of your logs. Step 5: Enable Cl