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

# Allocating Insufficient Memory

Let's take a look at a slightly modified version of the `go-demo-2` definition.


When compared with the previous definition, the difference is only in `resources` of the `db` container in the `go-demo-2-db` Deployment.

The **output**, limited to the relevant parts, is as follows.

apiVersion: apps/v1beta2
kind: Deployment
metadata:
  name: go-demo-2-db
spec:
  ...
  template:
    ...
    spec:
      containers:
      - name: db
        image: mongo:3.3
        resources:
          limits:
            memory: 10Mi
            cpu: 0.5
          requests:
            memory: 5Mi
            cpu: 0.3

The memory limit is set to `10Mi` and the request to `5Mi`. Since we already know from Heapster's data that MongoDB requires around `38Mi`, memory resources are, this time, much lower than the actual usage.
## Applying the Definition
Let's see what will happen when we apply the new configuration.

In this lesson, we will explore what happens when we allocate insufficient resource than the actual usage of an application.

Allocating Insufficient Resource than the Actual Usage

Allocating Insufficient Memory