code repository for Developing Containerized Java EE 8 Apps using Docker and Kubernetes, Published by Packt
This is the code repository for Containerizing Java EE 8 Apps Using Docker and Kubernetes [Video], published by Packt. It contains all the supporting project files necessary to work through the video course from start to finish.
Computer vision, natural language processing, reinforcement learning, finance and more are some of the most exciting applications of Deep Learning. This course will show you how with Google’s popular Deep Learning framework - TensorFlow
- Package, distribute, and run applications in Docker containers
- Install and configure containerized Java EE application servers
- Deploy enterprise applications as Kubernetes pods, deployments, and services
- Leverage Kubernetes' production-readiness
- Configure containerized and orchestrated applications
- Realize persistence in cluster environments
- Access orchestrated external systems
- Troubleshoot containers and orchestration environments
To fully benefit from the coverage included in this course, you will need:
The course takes a Cookbook approach and will show you how to build models to solve problems in different domains like computer vision, natural language processing, reinforcement learning, finance and more