4.10 (48 reviews)
☑ 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
Some enterprise developers might wonder whether the Java EE platform is eligible for realizing modern, containerized enterprise applications that run in cloud offerings.
A lot of enterprises migrate their runtime environments to platforms that are based on Docker and Kubernetes.
Container technologies, in combination with orchestration, provide significant advantages in the way companies deploy and operate their enterprise software.
This raises the question: Are enterprise applications developed with Java EE eligible for these technologies; if so, how can this transition be accomplished?
This course will show you how it is possible to develop Java EE 8 applications that run in containers. We will see why Java EE specifically is a natural fit for containers.
This course starts with practical ways on how you can use Docker in Java EE 8 and how to troubleshoot containers. You will run Java EE in containers. This course will also teach you how to configure containerized applications. Also you will orchestrate containers using Kubernetes.
By the end of the course, you will be able to Integrate Java EE applications into Kubernetes.
All the code and supporting files for this course are available on Github
About the Author :
Sebastian Daschner is a self-employed Java consultant, author, and trainer and is enthusiastic about programming and Java (EE). He participates in the JCP, helping to form the future standards of Java EE, serves in the JSR 370 and 374 Expert Groups, and collaborates on various open source projects. For his contributions in the Java community and ecosystem, he was recognized as a Java Champion, Oracle Developer Champion, and double 2016 JavaOne Rockstar. He has been working with enterprise Java for more than 8 years. Besides Java, Sebastian is also a heavy user of Linux and container technologies such as Docker. He evangelizes computer science practices, in his Newsletter, and on Twitter via @DaschnerS. When not working with Java, he also loves to travel the world—either by plane or motorbike.
The Course Overview
Starting Docker containers
Life cycle of containers
Images, tags & Dockerfiles
Distributing Docker images
Running Java EE in containers
Packaging Java EE applications
Containerizing Java Enterprise
Java in containers – challenges
Leveraging Docker’s copy-on-write file system
Configuring containerized Java applications
What to configure?
Configuring dockerized application servers
Configuring dockerized applications
Communicating via Docker networks
Orchestrating containers using Kubernetes
Deploying Docker images as Kubernetes pods
Exposing pods via services and ingresses
Deploying applications with zero-downtime
Example zero-downtime deployment
Configuring environments using config maps and secrets
Troubleshooting Kubernetes workloads
Integrating Java EE applications into Kubernetes
Configuring enterprise applications in Kubernetes
Managing application credentials
Realizing persistence in Kubernetes
Accessing services within clusters
Defining workload resource limits
Managing multiple application environments
Excellent overview course. Nicely tied into the JavaEE focus. Could include some more in-depth details. Like Spring-Boot embedded app servers.
Sebastian is very clear, concise, and engaging. I found his examination of how to jointly configure Docker, Kubernetes, and JavaEE to be consistently coherent and thorough.
as always small examples but the real world applications with business logic and multiple layers are not covered... and EAR files are still needed if you want to REUSE the Business logic part or is there a other solution
Overall course is good, a lot of things have been included in 3hr. But, as I think, some important things like running few replicas, demonstration of autoscaling and loadbalancing features is a must for such course. Anyway, thanks a lot!