If you're a Java developer, Docker is a true game changer for you!
Developing Java applications in large enterprises is no easy task. Every day you are asked to work with many different technologies. In the morning, you might need to save data to a MySQL database. In the afternoon, you might be working with RabbitMQ. Tomorrow you might be asked to work with Mongo or Redis.
Think about what you need to do when working with all these different technologies.
If you install all these on your laptop, it becomes cluttered and slow. Sure, you could use VMs to run these - if you really want to slow down your laptop. Virtual Machines are awesome, but VMs can also be huge resource hogs.
If you're on a dev team, you can set up dedicated development servers. But then you don't have a clean development environment. And your development work becomes dependent on access to the development servers.
Docker is an exciting technology you can leverage for enterprise development.
The popularity of Docker has been explosive. Much of the industry focus has been on DevOps. But more so on the Operations part.
Did you know Google creates roughly 285 MILLION Docker containers per day?
Docker is clearly a popular technology for running cloud scale applications like GMail.
But as a Java developer, what does Docker mean to you?
Are you working with MySQL? There's a ready made Docker image for you.
Postgres? Mongo DB? Redis? Cassandra? RabbitMQ? ActiveMQ?
Yep, there's Docker images you can download and use today.
You can use Docker for a lot more than just your local development.
Are you developing microservices? If you are not already deploying your microservices in Docker containers, chances are you soon will be.
This is a free preview of my Docker for Java developers course.
This course will what Docker is and why its important to you as a Java developer.
Then you will get some hands on experience with Docker by running your own Docker container.
You're start off with a simple "Hello World" Docker container.
And you will see how easy it is to run Rabbit MQ and MySQL inside of Docker containers.