Lesson 3 of 3By Simplilearn
Last updated on Oct 16, 202045415Kubernetes comes from a Greek word meaning ‘captain,’ ‘helmsman,’ or ‘governor.’ The term is now also used in the DevOps and on-premises software development world to refer to a powerful bundle of solutions that equips operations engineers to scale and service server (and box) setups effortlessly. Kubernetes was created by Joe Beda, Craig McLuckie, and Brendan Burns, who were later joined by Google engineers before officially releasing it in 2014. Today, Kubernetes is maintained by Cloud Native Computing Foundation (CNCF) and has evolved into a fast-growing and widely used ecosystem.
By now, you’re probably wondering, what does Kubernetes do? Well, the answer to this question can’t be fully explained within the scope of this Kubernetes interview questions article. After all, there are entire Kubernetes courses that are designed to answer this question, including how to use it.
However, what we’ll cover here are some frequently asked Kubernetes interview questions and answers. These questions and answers will help you prepare for any interview or certification exam that you may need to take once you’ve completed the Kubernetes training. So, without further ado, let's jump right in and learn the top Kubernetes interview questions and answers.
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Kubernetes is an open-source container orchestration tool or system that is used to automate tasks such as the management, monitoring, scaling, and deployment of containerized applications. It is used to easily manage several containers (since it can handle grouping of containers), which provides for logical units that can be discovered and managed.
K8s is another term for Kubernetes.
Orchestration refers to the integration of multiple services that allows them to automate processes or synchronize information in a timely fashion. Say, for example, you have six or seven microservices for an application to run. If you place them in separate containers, this would inevitably create obstacles for communication. Orchestration would help in such a situation by enabling all services in individual containers to work seamlessly to accomplish a single goal.
Docker is an open-source platform used to handle software development. Its main benefit is that it packages the settings and dependencies that the software/application needs to run into a container, which allows for portability and several other advantages. Kubernetes allows for the manual linking and orchestration of several containers, running on multiple hosts that have been created using Docker.
Docker Swarm is Docker’s native, open-source container orchestration platform that is used to cluster and schedule Docker containers. Swarm differs from Kubernetes in the following ways:
There are two primary components: the master node and the worker node. Each of these components has individual components in them.
A node is the smallest fundamental unit of computing hardware. It represents a single machine in a cluster, which could be a physical machine in a data center or a virtual machine from a cloud provider. Each machine can substitute any other machine in a Kubernetes cluster. The master in Kubernetes controls the nodes that have containers.
The main components of a node status are Address, Condition, Capacity, and Info.
The Kube-api server process runs on the master node and serves to scale the deployment of more instances.
Pods are high-level structures that wrap one or more containers. This is because containers are not run directly in Kubernetes. Containers in the same pod share a local network and the same resources, allowing them to easily communicate with other containers in the same pod as if they were on the same machine while at the same time maintaining a degree of isolation.
The kube-scheduler assigns nodes to newly created pods.
A cluster of containers is a set of machine elements that are nodes. Clusters initiate specific routes so that the containers running on the nodes can communicate with each other. In Kubernetes, the container engine (not the server of the Kubernetes API) provides hosting for the API server.
The Google Container Engine is an open-source management platform tailor-made for Docker containers and clusters to provide support for the clusters that run in Google public cloud services.
A Daemon set is a set of pods that runs only once on a host. They are used for host layer attributes like a network or for monitoring a network, which you may not need to run on a host more than once.
A Heapster is a performance monitoring and metrics collection system for data collected by the Kublet. This aggregator is natively supported and runs like any other pod within a Kubernetes cluster, which allows it to discover and query usage data from all nodes within the cluster.
Namespaces are used for dividing cluster resources between multiple users. They are meant for environments where there are many users spread across projects or teams and provide a scope of resources.
The controller manager is a daemon that is used for embedding core control loops, garbage collection, and Namespace creation. It enables the running of multiple processes on the master node even though they are compiled to run as a single process.
The primary controller managers that can run on the master node are the endpoints controller, service accounts controller, namespace controller, node controller, token controller, and replication controller.
Kubernetes uses etcd as a distributed key-value store for all of its data, including metadata and configuration data, and allows nodes in Kubernetes clusters to read and write data. Although etcd was purposely built for CoreOS, it also works on a variety of operating systems (e.g., Linux, BSB, and OS X) because it is open-source. Etcd represents the state of a cluster at a specific moment in time and is a canonical hub for state management and cluster coordination of a Kubernetes cluster.
Different types of Kubernetes services include:
The ClusterIP is the default Kubernetes service that provides a service inside a cluster (with no external access) that other apps inside your cluster can access.
The NodePort service is the most fundamental way to get external traffic directly to your service. It opens a specific port on all Nodes and forwards any traffic sent to this port to the service.
The LoadBalancer service is used to expose services to the internet. A Network load balancer, for example, creates a single IP address that forwards all traffic to your service.
A headless service is used to interface with service discovery mechanisms without being tied to a ClusterIP, therefore allowing you to directly reach pods without having to access them through a proxy. It is useful when neither load balancing nor a single Service IP is required.
The kubelet is a service agent that controls and maintains a set of pods by watching for pod specs through the Kubernetes API server. It preserves the pod lifecycle by ensuring that a given set of containers are all running as they should. The kubelet runs on each node and enables the communication between the master and slave nodes.
Kubectl is a CLI (command-line interface) that is used to run commands against Kubernetes clusters. As such, it controls the Kubernetes cluster manager through different create and manage commands on the Kubernetes component
Examples of standard Kubernetes security measures include defining resource quotas, support for auditing, restriction of etcd access, regular security updates to the environment, network segmentation, definition of strict resource policies, continuous scanning for security vulnerabilities, and using images from authorized repositories.
Kube-proxy is an implementation of a load balancer and network proxy used to support service abstraction with other networking operations. Kube-proxy is responsible for directing traffic to the right container based on IP and the port number of incoming requests.
A static IP for the Kubernetes load balancer can be achieved by changing DNS records since the Kubernetes Master can assign a new static IP address.
Having a good understanding of DevOps and on-premises software development can be quite useful in helping you gain a holistic view of the subject matter. Ultimately, taking the Certified Kubernetes Administrator Course and taking your time to study and understand what you’ve learned while preferably putting it into practice is the best way to prepare for an interview. The Kubernetes interview questions that you’ve learned here are the icing on the cake because they will allow you to get a feel of the type of questions that you can be asked. The more familiar you are with these types of questions, the better able you will be to show off your skills.
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