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Developing for Kubernetes involves more than just building and deploying containers. This course will cover how to manage communication both inside and outside of your Kubernetes cluster. You will learn how to organize your pods with namespaces, map IP addresses to a group of pods, and how to control communication with your pods using network policies.
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- Create and use namespaces
- Connect to your pods using services
- Define and enforce network policies
- Engineers who want to deploy applications on a Kubernetes cluster
- People who want to get GCP certified (eg: Professional Cloud Developer)
- Basic understanding of Kubernetes
- Experience building and deploying containers
So now you should have a better understanding of how to configure and manage cluster networking on Google Kubernetes Engine. Let's do a quick recap of everything that was covered. First, I showed you how to organize and share your clusters using Kubernetes Namespaces.
Namespaces allow you to create sandboxed environments to help prevent conflicts and naming collisions. Next, I demonstrated how to use Kubernetes Services to map IP addresses and ports to groups of pods. Services handle all the complexity of keeping track of an ever-changing pool of pods, and they give you a simple, consistent way to access them. And finally, I covered how to create Kubernetes Network policies to set ingress and egress rules for your pods. With these, you can block or allow traffic based on things like namespaces, IP addresses, and port numbers.
Well, that is all I have for you today. Remember to give this course a rating, and if you have any questions or comments, please let us know. Thanks for watching, and make sure to check out our many other courses on Cloud Academy.
Daniel began his career as a Software Engineer, focusing mostly on web and mobile development. After twenty years of dealing with insufficient training and fragmented documentation, he decided to use his extensive experience to help the next generation of engineers.
Daniel has spent his most recent years designing and running technical classes for both Amazon and Microsoft. Today at Cloud Academy, he is working on building out an extensive Google Cloud training library.
When he isn’t working or tinkering in his home lab, Daniel enjoys BBQing, target shooting, and watching classic movies.