Building an End-to-End CI/CD Pipeline with Spring Boot, Jenkins, Kubernetes & Security Scans
These articles are AI-generated summaries. Please check the original sources for full details.
Building an End-to-End CI/CD Pipeline with Spring Boot, Jenkins, Kubernetes & Security Scans
A complete CI/CD pipeline was constructed, integrating Spring Boot, Jenkins, Kubernetes, and security scanning tools like SonarQube and Trivy, to automate software delivery. The project aimed to move beyond basic pipeline execution to encompass versioning, security, and robust deployment practices.
Real-world CI/CD systems often fall short of ideal models due to complexity in areas like versioning, security integration, and handling deployment failures; these gaps can lead to delayed releases, security vulnerabilities, and increased operational costs. This project addressed these challenges by building a fully automated system, emphasizing observability and reliability.
Key Insights
- Docker-in-Docker Permissions: Addressing permissions issues with
/var/run/docker.sockis crucial for running Docker builds within Jenkins containers. - Multi-stage Dockerfiles: Utilizing multi-stage builds results in smaller, more secure production images by separating build dependencies from runtime requirements.
- Dynamic Image Tagging: Replacing image placeholders with build numbers (
${BUILD_NUMBER}) ensures Kubernetes rollouts occur with every code change.
Working Example
apiVersion: apps/v1
kind: Deployment
metadata:
name: my-spring-boot-app
spec:
replicas: 3
selector:
matchLabels:
app: my-spring-boot-app
template:
metadata:
labels:
app: my-spring-boot-app
spec:
containers:
- name: my-spring-boot-app
image: your-dockerhub-username/my-spring-boot-app:${BUILD_NUMBER}
ports:
- containerPort: 8080
Practical Applications
- Stripe: Uses a similar pipeline for continuous deployment of its payment processing services, ensuring rapid iteration and feature delivery.
- Pitfall: Relying on
:latestimage tags in Kubernetes deployments can lead to unpredictable rollouts and difficulty in rollback scenarios.
Continue reading
Next article
CISOs Face a Tighter Insurance Market in 2026
Related Content
Structure of a Good CI/CD Pipeline: Key Stages and Tools
A comprehensive breakdown of the five essential stages in a CI/CD pipeline, including tools, objectives, and best practices for ensuring code quality, security, and deployment reliability.
Accelerating GitLab CI: Reducing Build Times by 59% with Persistent Runners
Switching from GitLab's ephemeral shared runners to persistent dedicated runners reduced build times by 59% by enabling native Docker layer and dependency caching.
Bridging Policy and Automation: Building a Compliant AWS Pipeline in a Regulated Environment
A financial client maintained a fully automated CI/CD pipeline while ensuring no source code left the corporate network, achieving 100% compliance with IP security policies.