Optimizing Jenkins for Scalability and Resilience repository --> This project would provide the insights, strategies and code snippets to enhance the performance, scalability and resilience of Jenkins CI/CD pipelines.
- Introduction
- Prerequisites
- Setup
- Performance Optimization
- Scalability
- Resilience
- Security Enhancements
- Backup and Disaster Recovery
- Conclusion
In this repository, I share my personal insights and strategies for optimizing Jenkins for better performance, scalability, and resilience. By following these practices, you can ensure that your Jenkins setup remains robust and efficient.
- Basic understanding of Jenkins CI/CD
- Familiarity with Kubernetes and containerization
- Knowledge of cloud infrastructure and DevSecOps principles
--> Limit the number of builds retained in the file system.
Why: Keeping too many old builds can slow down Jenkins, especially when displaying build histories.
Benefit: Improved performance and quicker access to job pages.
// discard_old_builds.groovy
job('example') {
logRotator {
daysToKeep(30)
numToKeep(10)
}
}--> Set the appropriate heap size for Jenkins.
Why: Proper heap size ensures efficient memory usage and prevents OutOfMemory errors.
Benefit: Improved performance and stability.
# optimize_heap_size.sh
export JAVA_OPTS="-Xms1024m -Xmx4096m -XX:+UseCompressedOops"--> Regularly review and manage installed plugins.
Why: Unnecessary plugins can slow down Jenkins and introduce security vulnerabilities.
Benefit: Improved performance, security, and maintainability.
--> Use a master-slave architecture to distribute the load.
Why: Distributes the build load across multiple nodes, reducing the burden on the master.
Benefit: Enhanced performance and reliability.
--> Deploy Jenkins on Kubernetes for better scalability and management.
Why: Kubernetes provides self-healing, scalability, and easy management of containerized applications.
Benefit: High availability and scalability.
# jenkins_deployment.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
name: jenkins
spec:
replicas: 3
template:
metadata:
labels:
app: jenkins
spec:
containers:
- name: jenkins
image: jenkins/jenkins:lts
ports:
- containerPort: 8080--> Use multiple Jenkins masters for different teams or projects.
Why: Isolates changes and issues to specific projects or teams.
Benefit: Increased resilience and reduced impact of failures.
What to Do: Use persistent storage for Jenkins home directories.
Why: Ensures data is not lost during pod restarts.
Benefit: Data persistence and reliability.
# pvc.yaml
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
name: jenkins-pvc
spec:
accessModes:
- ReadWriteOnce
resources:
requests:
storage: 10Gi--> Set resource limits and requests for Jenkins pods.
Why: Ensures Jenkins has sufficient resources and avoids resource contention.
Benefit: Improved performance and stability.
# hpa.yaml
apiVersion: autoscaling/v1
kind: HorizontalPodAutoscaler
metadata:
name: jenkins-hpa
spec:
scaleTargetRef:
apiVersion: apps/v1
kind: Deployment
name: jenkins
minReplicas: 1
maxReplicas: 10
targetCPUUtilizationPercentage: 80--> Implement Role-Based Access Control (RBAC).
Why: Restricts access based on user roles, enhancing security.
Benefit: Improved security and compliance.
--> Regularly back up Jenkins configurations and job data.
Why: Ensures data is recoverable in case of failures.
Benefit: Data integrity and availability.
By following these practices and utilizing the provided code snippets, you can optimize Jenkins for better performance, scalability, and resilience. Remember, continuous monitoring and regular updates are key to maintaining an efficient Jenkins environment.
Feel free to contribute and share your insights!
Author: Tanishka Marrott
LinkedIn: Tanishka Marrott
For any questions or suggestions, please open an issue or reach out to me directly.
Happy building!