Kubernetes is a powerful tool. It can help you manage complex applications and provide you with the ability to easily automate tasks involved in managing them. In this course, we will start exploring Kubernetes from a beginner's standpoint. We will discuss what Kubernetes is and what it does, and we will work with some of the basic functionality of Kubernetes hands-on. We will build a simple Kubernetes cluster. We will also deploy a sample microservice application to the cluster in order to explore how Kubernetes can help easily manage such applications.

A Practical Guide to Kubernetes

# The Similarities
Resource management can be divided into a few categories. We need to define how much memory and CPU we except a container will use and what are the limits. This information is crucial for a scheduler to make "intelligent" decisions when calculating where to place containers. In this aspect, there is no essential difference between Kubernetes and Docker Swarm. Both are using requested resources to decide where to deploy containers and limits when to evict them. Both of them are, more or less, the same in this aspect.

*How can we know how much memory and CPU to dedicate to each of our containers?*

That's one of the questions we hear way too many times. The answer is simple. Collect metrics, evaluate them, adjust resources, take a break, repeat. 

*Where do we collect metrics?*

 Wherever you want. Prometheus is a good choice. 

*Where will it get metrics?*

 Well, it depends on which scheduler you use. If it's Docker Swarm, you'll need to run a bunch of exporters. Or, you might be brave enough and try the experimental feature that exposes Docker's internal metrics in Prometheus format. You might even be enthusiastic enough to think that they will be enough for all your monitoring and alerting needs. Maybe, by the time you read this, the feature is not experimental anymore. On the other hand, Kubernetes has it all, and so much more. You can use Heapster, or you might discover that it is too limiting and configure Prometheus to scrape metrics directly from Kubernetes API. Kubernetes exposes a vast amount of data. More than you'll probably ever need. You will be able to fetch memory, CPU, IO, network, and a myriad of other metrics and make intelligent decisions not only about the resources your containers require but about so much more.

To make things clear, you can get the same metrics no matter whether you're running Kubernetes or Docker Swarm. The major difference is that Kubernetes exposes them through its API, while with Swarm you'll have to struggle between the decisions whether to use its limited metrics or go into the trouble of setting up the exporters like cAdvisor and Node Exporter. Most likely, you'll discover that you'll need both the metrics from Swarm's API and those from the exporters. Kubernetes has a more robust solution, even though you might still need an exporter or two. Still, having most, if not all, of the metrics you'll need from its API is a handy thing to have.

This lesson is a comparison between Kubernetes resource management and Docker Swarm equivalent.

Comparison with Docker Swarm

The Similarities