Notes on DevSecOps Course

Course Overview

• Duration: 8 hours
• Audience: Beginners and advanced
• Topics covered:
  • Core DevSecOps tools: Kubernetes, Docker
  • Security best practices
  • Vulnerability analysis in Docker images

Introduction to DevOps

• DevOps Definition: Collaboration between development and operations.
• Benefits:
  • Faster response to market demands.
  • Continuous improvement and upgrades.
  • Reduced costs through automation.

DevSecOps Architecture

• Understanding DevOps architecture is critical before diving into DevSecOps.
• Key Components:
  • Business demand: Understanding customer requirements.
  • Business planning: Minimum Viable Product (MVP) focus.
  • Development process: User stories and deliverables.
  • Testing and deployment: Automated pipelines.

Continuous Integration and Delivery (CI/CD)

• Continuous Integration (CI): Frequent code updates and shared repository.
• Continuous Delivery (CD): Automated software delivery to production.

Advanced Tools in DevSecOps

• Tools to be covered:
  • C Advisor
  • Dive
  • Painer
  • Rancher
  • OpenShift

Kubernetes Security Practices

• Key Security Tools:
  • kube-bench: To enhance Kubernetes security.
  • Prometheus and Grafana: For monitoring and observability.
• Popular Tools:
  • Harnessing responsibilities
  • Application security
  • Cloud platform security
  • Vulnerability assessments and testing

Docker Security

• Docker Content Trust: Protecting the integrity of Docker images.
• AppArmor and SE Linux: Security tools for limiting process permissions.
• Docker Security Scanning:
  • Tools like Clair and Anchore for scanning vulnerabilities in images.

Managing Docker Secrets and Networks

• Docker secrets for sensitive information management.
• Docker networking for container communication.

Monitoring Kubernetes

• Using kubectl for monitoring and managing Kubernetes resources.
• Prometheus for resource metrics and alerting.
• Grafana for visualizing metrics.

Conclusion

• Importance of security in Kubernetes and Docker development.
• Encourage continuous monitoring and updating.
• Feedback and suggestions for future courses.