Kubernetes

Predictable demands essentially means the declaration of each Kubernetes entity is strongly coupled with the complete context of the runtime dependencies and resource profiles. 

Monitoring and logging are two forms of usage metrics collection. Use monitoring on Kubernetes resources (such as Pods, Services, and nodes) to understand your resource consumption trends and to make decisions for scaling given an application. 

You may have a few applications that need to migrate to Kubernetes. Let’s discuss the three methods of onboarding existing services into Kubernetes. A traditional lift and ship, a monolith application into microservices transformation, and a containerization plan.

Troubleshooting in Kubernetes includes techniques to debug and resolve issues pertaining to containerized applications. Let’s go over how to use port forwarding, container logs, and cluster events to troubleshoot issues within Kubernetes. 

The goal of Creating Containerized Services on Kubernetes is to build, test, and deploy containers. Kubernetes objects support the functions needed to scale and run your applications properly. Let's discuss how to deploy a container image to Kubernetes.

Use the Kubernetes installation options to find a Kubernetes solution that fits your use case. Whether you are just starting, learning, experimenting, or delivering with Kubernetes, there are solutions and content to support your journey. This post describes the Kubernetes installation options.

Here’s a quick 4-1-1 on what developers need to know to deploy your applications to Kubernetes. This blog post addresses Kubernetes terminology and concepts for developing and deploying your applications to a container environment as a developer.