How to Upgrade to Java 17 Without Production Risks
Upgrading to Java 17 is essential for tech products seeking improved performance, compatibility with modern tools, and enhanced security. But for high growth tech teams, migrating backend applications from older Java versions can feel risky — any misstep might disrupt production services and impact user experience.
How can you upgrade seamlessly while keeping your services stable and your pipelines running without unexpected failures? Keep reading to know.
Steps to Upgrade to Java 17 Confidently
Upgrading from Java 11 to Java 17 requires structured planning, rigorous testing, and careful integration. Here’s how to do it effectively:
1. Update Your Codebase
- Refactor backend application code to ensure compatibility with Java 17.
- Push updated code to your main branch.
- Test thoroughly in a dedicated lab environment to validate functionality before deploying to production.
2. Update Docker Images
- Modify your Dockerfile to install Java 17 by updating the base image to JDK 17.
- Rebuild Docker images and push them to your container registry for deployment readiness.
3. Update Jenkins AMI and Reboot Servers
- Create a new Amazon Machine Image (AMI) with Java 17 installed.
- Update your Auto Scaling Group (ASG) launch template to use the new AMI.
- Reboot Jenkins servers to apply the updated configurations and validate changes in the lab environment.
4. Update Jenkins Build Processes
- Update Jenkins build jobs to pull Java 17-compatible Docker images from your registry.
- Revise build scripts to align with Java 17, ensuring a seamless CI/CD pipeline upgrade.
Why Choose IAMOPS for Your Java Upgrades
At IAMOPS, our certified DevOps engineers help high growth tech companies upgrade their tech stack confidently and safely. We ensure:
- Zero disruption migrations
- Compatibility with modern tools and libraries
- Optimized resource utilization
- CI/CD pipeline readiness
- 24/7 operational support
Our mission is to ensure your infrastructure and CI/CD pipelines are scalable, mitigate failure points, optimize performance, ensure uptime, and minimize costs.
