Key Architecture & Workflow Highlights in Swarm Cluster:

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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).

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:

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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).

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.

DevOps Project Showcase

Explore our DevOps projects and learn how Kubernetes enhances our website's performance and scalability.

A dimly lit desk setup featuring a computer monitor displaying a document titled 'General Hardening Guideline'. The desk has a mechanical keyboard with blue and red keys, a lamp providing light on the right side, and various small items including notes pinned to the wall, a notebook, and a cup. There is a mesh office chair in front of the desk.
A dimly lit desk setup featuring a computer monitor displaying a document titled 'General Hardening Guideline'. The desk has a mechanical keyboard with blue and red keys, a lamp providing light on the right side, and various small items including notes pinned to the wall, a notebook, and a cup. There is a mesh office chair in front of the desk.
A computer screen displays a PageSpeed Insights report for the website google.com, showing a high performance score of 99. The report includes metrics such as First Contentful Paint (FCP), Largest Contentful Paint (LCP), First Input Delay (FID), and Cumulative Layout Shift (CLS), all of which are represented with graphical progress bars.
A computer screen displays a PageSpeed Insights report for the website google.com, showing a high performance score of 99. The report includes metrics such as First Contentful Paint (FCP), Largest Contentful Paint (LCP), First Input Delay (FID), and Cumulative Layout Shift (CLS), all of which are represented with graphical progress bars.
Kubernetes Integration

Discover how Kubernetes orchestrates our applications, ensuring seamless deployment and management of resources.

Project Analysis

In-depth analysis of our DevOps projects, highlighting efficiency, automation, and continuous integration practices.

gray computer monitor

Contact Us

Get in touch for DevOps project insights and Kubernetes analysis.