Building an Enterprise‑Grade CI/CD Pipeline with Jenkins, Artifactory, Kubernetes & Helm

1. Enterprise‑Level Container Delivery Pipeline

The target architecture consists of a single‑team CI/CD flow where manual steps are highlighted with dashed lines and automated steps with solid lines. Key stages include building a WAR package, creating Docker images, scanning images for vulnerabilities, generating Helm charts, and deploying to a Kubernetes cluster.

Artifact promotion is emphasized: after a build finishes, the package is uploaded to a centralized Artifactory repository together with metadata such as source branch, requirement ID, test results, and vulnerability scan outcomes. This metadata travels with the artifact into the deployment environment, enabling clear quality gates and faster hand‑off between development and operations.

Binary packages are linked to code coordinates and requirements, allowing operators to see exactly which features are being deployed and whether they passed required quality checks.

Jenkins Tasks Overview

The Jenkins pipeline includes jobs for:

Building the WAR package using Groovy syntax.

Creating Docker images and configuring the internal repository for dependencies.

Running vulnerability scans on the produced images.

Packaging Helm charts for Kubernetes deployment.

Images illustrating the Jenkins job configuration and dependency repository settings are shown in the original slides.

2. Kubernetes CI/CD Practices

Each development branch receives an isolated Kubernetes sandbox, so large‑scale testing can expose resource bottlenecks. Resource limits are applied to Pods and to individual containers (e.g., Java heap, MQ, MongoDB) to prevent over‑consumption.

Pods are designed with multiple containers: an init container prepares storage and configuration, while sidecar containers collect logs, metrics, and act as proxies.

Helm for Application Lifecycle Management

Helm, the official Kubernetes package manager, is used to bundle all related micro‑services into a single Helm chart. Each deployment creates a versioned chart, enabling gray‑release strategies and rollbacks. Environment‑specific values are stored in separate values.yaml files (e.g., dev-values.yaml, prod-values.yaml).

Helm commands such as helm install artifactory are used to deploy Artifactory, Jenkins, and other services.

Visibility and Monitoring

Log aggregation is handled by an EFK stack (Elasticsearch, Fluentd, Kibana). Developers are prohibited from SSH‑ing into Pods; instead they query logs through the EFK UI, which improves security while still providing effective debugging capabilities.

Integration with CI

The pipeline runs on Jenkins Pipeline scripts. All artifacts—WAR files, Tomcat binaries, Docker images—are pulled from Artifactory, and Helm charts are used for Kubernetes deployments.

CI/CD directly tests against Kubernetes environments using Helm.

Each branch gets its own sandbox for self‑testing.

Over 100 product‑line version combinations are deployed weekly, with more than 50 micro‑services per deployment.

Helm charts are provided for JFrog Artifactory, Xray, MissionControl, etc., to simplify customer deployments.

3. Summary

Artifactory now offers high‑availability repositories for Maven, npm, Docker, Go, and Helm, acting as the internal Kubernetes registry. It records quality attributes of Docker images—unit test results, code scans, performance tests, vulnerability scans—delivering a one‑stop solution for application delivery and addressing the “last mile” of DevOps adoption.