Key Architecture & Workflow Highlights in Swarm Cluster:
Cluster Setup:
Built a Docker Swarm Cluster with 1 manager and multiple worker nodes.
All nodes were secured using firewalls and Docker overlay networking for container communication.
Jenkins CI/CD Pipeline:
Custom Jenkins image built with multi-stage Dockerfile, containing:
Only essential tools and binaries required for CI/CD operations.
Removed unused packages to reduce image surface area and minimize vulnerability exposure.
Periodic vulnerability scans using trivy or similar tools to validate image hygiene.
Pipeline Flow:
Code pushed to Git triggers the Jenkins pipeline.
Jenkins builds, tests, and pushes Docker images to a registry.
Images are deployed to the Swarm cluster using docker service commands via Jenkins scripts.
Secrets Management:
Sensitive credentials (e.g., DB passwords, API keys) stored and deployed using Docker Swarm Secrets.
Jenkins interacts with secrets only during deploy, ensuring no hardcoded values in the pipeline.
Security & Maintenance:
Jenkins agent containers use read-only volumes, unprivileged users, and ephemeral credentials.
No package managers or shell access included in final Jenkins image to avoid runtime tampering.
Reduced attack surface = fewer patches required.
Resilience & Monitoring:
Services set to restart automatically on failure (--restart-condition on-failure).
System logs and service metrics forwarded to centralized logging/monitoring stack (ELK or Prometheus optional).
Project 1 : CI/CI/CD PipeLine Within Docker Swarm Cluster/Kubenetes
Extension of the project in Kubernetes Cluster
Created dedicated namespace for the Dev team (dev-namespace) to isolate resources.
Configured RBAC roles and role bindings to provide namespace-scoped permissions (no cluster-level rights).
Used Kubernetes secrets to store Docker credentials and private repo keys, referenced in Jenkins builds.
Jenkins Master was deployed via a custom Helm chart in the ci-cd namespace, connected to the cluster via kubectl config set-context.
Jenkins agents used Kubernetes plugin to dynamically spawn pods inside the pipeline's namespace.
Integrated GitHub + Jenkins for webhook-based builds, and deployed apps using kubectl apply or Helm within dev namespaces.
Security Considerations
Multi-stage Jenkins image was scanned regularly for CVEs (minimal base image like alpine or distroless).
Jenkins credentials were mounted as Kubernetes secrets or Swarm secrets, never hard-coded.
Role-based access control ensured that developers couldn’t access resources outside their scope.
Used NetworkPolicies (K8s) and --publish controls (Swarm) to limit service exposure.
Key Architecture & Workflow Highlights in Swarm Cluster:
Cluster Setup:
Built a Docker Swarm Cluster with 1 manager and multiple worker nodes.
All nodes were secured using firewalls and Docker overlay networking for container communication.
Jenkins CI/CD Pipeline:
Custom Jenkins image built with multi-stage Dockerfile, containing:
Only essential tools and binaries required for CI/CD operations.
Removed unused packages to reduce image surface area and minimize vulnerability exposure.
Periodic vulnerability scans using trivy or similar tools to validate image hygiene.
Pipeline Flow:
Code pushed to Git triggers the Jenkins pipeline.
Jenkins builds, tests, and pushes Docker images to a registry.
Images are deployed to the Swarm cluster using docker service commands via Jenkins scripts.
Secrets Management:
Sensitive credentials (e.g., DB passwords, API keys) stored and deployed using Docker Swarm Secrets.
Jenkins interacts with secrets only during deploy, ensuring no hardcoded values in the pipeline.
Security & Maintenance:
Jenkins agent containers use read-only volumes, unprivileged users, and ephemeral credentials.
No package managers or shell access included in final Jenkins image to avoid runtime tampering.
Reduced attack surface = fewer patches required.
Resilience & Monitoring:
Services set to restart automatically on failure (--restart-condition on-failure).
System logs and service metrics forwarded to centralized logging/monitoring stack (ELK or Prometheus optional).
Project 1 : CI/CI/CD PipeLine Within Docker Swarm Cluster/Kubenetes
Extension of the project in Kubernetes Cluster
Created dedicated namespace for the Dev team (dev-namespace) to isolate resources.
Configured RBAC roles and role bindings to provide namespace-scoped permissions (no cluster-level rights).
Used Kubernetes secrets to store Docker credentials and private repo keys, referenced in Jenkins builds.
Jenkins Master was deployed via a custom Helm chart in the ci-cd namespace, connected to the cluster via kubectl config set-context.
Jenkins agents used Kubernetes plugin to dynamically spawn pods inside the pipeline's namespace.
Integrated GitHub + Jenkins for webhook-based builds, and deployed apps using kubectl apply or Helm within dev namespaces.
Security Considerations
Multi-stage Jenkins image was scanned regularly for CVEs (minimal base image like alpine or distroless).
Jenkins credentials were mounted as Kubernetes secrets or Swarm secrets, never hard-coded.
Role-based access control ensured that developers couldn’t access resources outside their scope.
Used NetworkPolicies (K8s) and --publish controls (Swarm) to limit service exposure.
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