- Sign-up for IBM Cloud account: https://ibm.biz/ibm-infosys-workshop
- Hands-on Lab: https://ide.skillsnetwork.site/quicklab/modernize-java-to-openshift
- Code repo for migrated application: https://github.com/stevemar/migrated-mod-resorts
- Image repo for migrated application: https://hub.docker.com/r/stevemar/migrated-mod-resorts
- Link to the slides: https://speakerdeck.com/pmmistry/application-modernization
- Replay of the talk: https://www.crowdcast.io/e/modernize-apps
- Pooja Mistry: Connect on LinkedIn - Connect on Twitter
- Manisha
- IBM Developer Red Hat OpenShift: https://developer.ibm.com/components/redhat-openshift-ibm-cloud/
- FREE IBM Cloud Essentials Course: https://cognitiveclass.ai/courses/ibm-cloud-essentials
- Follow us on Crowdcast: https://www.crowdcast.io/ibmdeveloper
- OpenShift cluster (one-hour sandbox): https://learn.openshift.com/playgrounds/openshift45
Great breakdown in this post! Especially the way it highlights practical implementation details and real-world tradeoffs in modern cloud + AI systems. It’s a useful reminder that architecture decisions are rarely just technical; they’re also about scalability, cost, and long-term maintainability. For related reading, you may also find https://www.cleveroad.com/blog/vendors-offering-ai-driven-cloud-modernization/ helpful in the context of choosing the right approach and vendors for AI-driven cloud modernization.