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DevSecOps

DevSecOps, AWS, Kubernetes, Terraform, GitLab

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Description

This project implements a comprehensive DevSecOps pipeline on AWS, utilizing Terraform for infrastructure as code, Kubernetes for orchestration, and GitLab CI for continuous integration and deployment. Security is integrated throughout the process using GitLab Advanced Security features, including SAST, DAST, and container scanning. The pipeline incorporates Prometheus and Loki for monitoring and logging, SonarQube for code quality analysis, and Katalon for automated testing. This automated, cloud-native approach aims to enhance development velocity, code quality, and security while streamlining operations, ultimately enabling faster, more reliable releases in a secure and efficient manner.

Project Details

Client Domain:
Banking, FSI, Manufacturing, Retails
Scope:
Architect a modern, cloud-native application structure aligned with organizational needs and industry best practices
Design and implement a multi-tier architecture to support complex business logic and high transaction volumes
Engineer a deployment strategy to ensure smooth rollout and minimal downtime
Services:
Assessment, Design DevSecOps Processes, DevSecOps Implementation
Technologies:
Cloud provider: AWS
IaC: Terraform
Orchestration: Kubernetes
CICD: GitLab CI
Security scan: GitLab Advanced Security features
Git: GitLab
Monitoring and logging: Prometheus, Loki
Quality scan: SonarQube
Automated test: Katalon
Tasks:
Design DevSecOps process for automated provision infrastructure and application deployment
Define AWS resources in Terraform files
Implement modular and reusable Terraform configurations
Define Kubernetes manifests for application deployments
Implement Helm charts for complex deployments
Define GitLab CI/CD pipelines in .gitlab-ci.yml
Enable and configure SAST (Static Application Security Testing)
Implement container scanning for Docker images
Implement DAST (Dynamic Application Security Testing) for web applications
Set up Prometheus for metrics collection and alerting
Configure Loki for log aggregation and analysis
Create dashboards for visualizing metrics and logs
Integrate SonarQube into the GitLab CI pipeline
Configure code quality gates and enforce them in CI/CD
Create and maintain automated test suites using Katalon
Outcome:
This DevSecOps implementation aims to significantly improve development velocity, enhance code quality, strengthen security measures, and streamline operations. By integrating security and quality checks throughout the development process, the project will enable faster, more reliable releases while maintaining a high standard of security and performance. The result will be a fully automated, secure, and efficient pipeline that supports rapid iteration and continuous improvement, allowing development teams to focus on delivering value while ensuring the highest standards of security and quality.

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