Kubernetes is also known as 'k8s'. Kubernetes is an extensible, portable, and open-source container management platform designed by Google. Kubernetes helps to manage containerised applications in various types of physical, virtual, and cloud environments.
Kubernetes helps you to control the resource allocation and traffic management for cloud applications and microservices. It also helps to simplify various aspects of service-oriented infrastructures. Kubernetes allows you to assure where and when containerized applications run and helps you to find resources and tools you want to work with.
- Automated Scheduling
- Self-Healing Capabilities
- Automated rollouts & rollback
- Horizontal Scaling & Load Balancing
- Offers environment consistency for development, testing, and production
- Infrastructure is loosely coupled to each component can act as a separate unit
- Provides a higher density of resource utilization
- Offers enterprise-ready features
- Application-centric management
- Auto-scalable infrastructure
- You can create predictable infrastructure
The master node is the first and most vital component which is responsible for the management of Kubernetes cluster. It is the entry point for all kind of administrative tasks. There might be more than one master node in the cluster to check for fault tolerance.
The master node has various components like API Server, Controller Manager, Scheduler, and ETCD. Let see all of them.
It provides all the operation on cluster using the API. API server implements an interface, which means different tools and libraries can readily communicate with it. Kubeconfig is a package along with the server side tools that can be used for communication.
This component is responsible for most of the collectors that regulates the state of cluster and performs a task. In general, it can be considered as a daemon which runs in nonterminating loop and is responsible for collecting and sending information to API server. It works toward getting the shared state of cluster and then make changes to bring the current status of the server to the desired state. The key controllers are replication controller, endpoint controller, namespace controller, and service account controller. The controller manager runs different kind of controllers to handle nodes, endpoints, etc.
This is one of the key components of Kubernetes master. It is a service in master responsible for distributing the workload. It is responsible for tracking utilization of working load on cluster nodes and then placing the workload on which resources are available and accept the workload. In other words, this is the mechanism responsible for allocating pods to available nodes. The scheduler is responsible for workload utilization and allocating pod to new node.
It stores the configuration information which can be used by each of the nodes in the cluster. It is a high availability key value store that can be distributed among multiple nodes. It is accessible only by Kubernetes API server as it may have some sensitive information. It is a distributed key value Store which is accessible to all.
Worker nodes are another essential component which contains all the required services to manage the networking between the containers, communicate with the master node, which allows you to assign resources to the scheduled containers.
The first requirement of each node is Docker which helps in running the encapsulated application containers in a relatively isolated but lightweight operating environment.
This is a small service in each node responsible for relaying information to and from control plane service. It interacts with etcd store to read configuration details and wright values. This communicates with the master component to receive commands and work. The kubelet process then assumes responsibility for maintaining the state of work and the node server. It manages network rules, port forwarding, etc.
Kubernetes Proxy Service
This is a proxy service which runs on each node and helps in making services available to the external host. It helps in forwarding the request to correct containers and is capable of performing primitive load balancing. It makes sure that the networking environment is predictable and accessible and at the same time it is isolated as well. It manages pods on node, volumes, secrets, creating new containers' health checkup, etc.
Kubernetes Key Terminologies
It is a collection of hosts(servers) that helps you to aggregate their available resources. That includes ram, CPU, ram, disk, and their devices into a usable pool.
The master is a collection of components which make up the control panel of Kubernetes. These components are used for all cluster decisions. It includes both scheduling and responding to cluster events.
A node is a working machine in Kubernetes cluster . They are working units which can be physical, VM, or a cloud instance.Each node has all the required configuration required to run a pod on it such as the proxy service and kubelet service along with the Docker, which is used to run the Docker containers on the pod created on the node.
It is a logical cluster or environment. It is a widely used method which is used for scoping access or dividing a cluster. It provides an additional qualification to a resource name. This is helpful when multiple teams are using the same cluster and there is a potential of name collision. It can be as a virtual wall between multiple clusters.
Following are some of the important functionalities of a Namespace in Kubernetes
- Namespaces help pod-to-pod communication using the same namespace.
- Namespaces are virtual clusters that can sit on top of the same physical cluster.
- They provide logical separation between the teams and their environments.
apiVersion: v1 kind: Service metadata: name: elasticsearch namespace: elk labels: component: elasticsearch spec: type: LoadBalancer selector: component: elasticsearch ports: - name: http port: 9200 protocol: TCP - name: transport port: 9300 protocol: TCP
Labels and Selectors:
Labels are key-value pairs which are attached to pods, replication controller and services. They are used as identifying attributes for objects such as pods and replication controller. They can be added to an object at creation time and can be added or modified at the run time.
Unlike names and UIDs, labels do not provide uniqueness. In general, we expect many objects to carry the same label(s).
A label selector is just a fancy name of the mechanism that enables the client/user to target (select) a set of objects by their labels.
It can be confusing because different resource types support different selector types - 'selector' vs 'matchExpressions' vs 'matchLabels':
Newer resource types like Deployment, Job, DaemonSet, and ReplicaSet support both 'matchExpressions' and 'matchLabels', but only one of them can be nested under the 'selector' section, while the other resources (like "Service" in the example above) support only 'matchLabels', so there is no need to define which option is used, because only one option is available for those resource types.
A service can be defined as a logical set of pods. It can be defined as an abstraction on the top of the pod which provides a single IP address and DNS name by which pods can be accessed. With Service, it is very easy to manage load balancing configuration. It helps pods to scale very easily.
A service is a REST object in Kubernetes whose definition can be posted to Kubernetes apiServer on the Kubernetes master to create a new instance.
kind: Service apiVersion: v1 metadata: name: nginx-service spec: selector: app: nginx ports: - protocol: TCP port: 80 targetPort: 9376
Types of Services are:
An internal fixed IP known as a ClusterIP can be created in front of a pod or a replica as necessary.
The ClusterIP provides a load-balanced IP address. One or more pods that match a label selector can forward traffic to the IP address. The ClusterIP service must define one or more ports to listen on with target ports to forward TCP/UDP traffic to containers. The IP address that is used for the ClusterIP is not routable outside of the cluster, like the pod IP address is.
apiVersion: v1 kind: Service metadata: name: nginx-clusterip-service spec: selector: app: nginx type: ClusterIP ports: - protocol: TCP port: 80
Services of type NodePort build on top of ClusterIP type services by exposing the ClusterIP service outside of the cluster on high ports (default 30000-32767). If no port number is specified then Kubernetes automatically selects a free port. The local kube-proxy is responsible for listening to the port on the node and forwarding client traffic on the NodePort to the ClusterIP.
Users can communicate with the service from the outside by requesting \<NodeIP>:\<NodePort>
By default, every node in the cluster listens on this port, including nodes where the pod that matches the label selector does not run. Traffic on such nodes is internally NATed and forwarded to the target pod (Cluster external traffic policy).
apiVersion: v1 kind: Service metadata: name: nginx-nodeport-service spec: selector: app: nginx type: NodePort ports: - protocol: TCP port: 80
The LoadBalancer service type is built on top of NodePort service types by provisioning and configuring external load balancers from public and private cloud providers. It exposes services that are running in the cluster by forwarding layer 4 traffic to worker nodes. This is a dynamic way of implementing a case that involves external load balancers and NodePort type services. However, it usually requires an integration that runs inside the Kubernetes cluster that performs a watch on the API for services of type LoadBalancer.
It will also automatically create ClusterIP and NodePort services and route traffic accordingly.
apiVersion: v1 kind: Service metadata: name: nginx-loadbalancer-service spec: type: LoadBalancer selector: app: nginx ports: - protocol: TCP port: 80 targetPort: 80 nodePort: 31999
This type of service maps the service to the contents of the externalName field (Ex: app.test.com). It does this by returning a value for the CNAME record.
A pod is a collection of containers and its storage inside a node of a Kubernetes cluster. It is possible to create a pod with multiple containers inside it. For example, keeping a database container and data container in the same pod.
There are two types of Pods
- Single container pod
- Multi container pod
Single Container Pod
If you defined single image on Pod Specification then it would created with single container.
apiVersion: v1 kind: Pod metadata: name: nginx spec: containers: - name: Nginx image: nginx ports: containerPort: 7500 imagePullPolicy: Always
Multi Container Pod
If you defined multiple image on Pod Specification then it would created with multi container with each image specified.
apiVersion: v1 kind: Pod metadata: name: nginx spec: containers: - name: Nginx image: nginx ports: containerPort: 7500 imagePullPolicy: Always - name: Database Image: mongoDB Ports: containerPort: 7501 imagePullPolicy: Always
Deployments are upgraded and higher version of replication controller and additional feature from ReplicaSet. They manage the deployment of replica sets which is also an upgraded version of the replication controller. They have the capability to update the replica set and are also capable of rolling back to the previous version.
They provide many updated features of matchLabels and selectors. We have got a new controller in the Kubernetes master called the deployment controller which makes it happen. It has the capability to change the deployment midway.
apiVersion: apps/v1 kind: Deployment metadata: name: nginx spec: selector: matchLabels: app: nginx replicas: 1 template: metadata: labels: app: nginx spec: containers: - name: nginx image: nginx ports: - name: http containerPort: 80
A Secret is an object that contains a small amount of sensitive data such as a password, a token, or a key. Such information might otherwise be put in a Pod specification or in a container image. Using a Secret means that you don't need to include confidential data in your application code.
Because Secrets can be created independently of the Pods that use them, there is less risk of the Secret (and its data) being exposed during the workflow of creating, viewing, and editing Pods. Kubernetes, and applications that run in your cluster, can also take additional precautions with Secrets, such as avoiding writing secret data to nonvolatile storage.
Secrets are similar to ConfigMaps but are specifically intended to hold confidential data.
There are three main ways of uses for Secrets:
- As files in a volume mounted on one or more of its containers.
- As container environment variable.
- By the kubelet when pulling images for the Pod.
apiVersion: v1 data: username: admin password: Passw0rd0 kind: Secret metadata: name: mysecret type: Opaque
To use a Secret in an environment variable in a Pod:
- Create a Secret (or use an existing one). Multiple Pods can reference the same Secret.
- Modify your Pod definition in each container that you wish to consume the value of a secret key to add an environment variable for each secret key you wish to consume. The environment variable that consumes the secret key should populate the secret's name and key in env.valueFrom.secretKeyRef.
- Modify your image and/or command line so that the program looks for values in the specified environment variables.
apiVersion: v1 kind: Pod metadata: name: secret-env-pod spec: containers: - name: mycontainer image: redis env: - name: SECRET_USERNAME valueFrom: secretKeyRef: name: mysecret key: username optional: false # same as default; "mysecret" must exist # and include a key named "username" - name: SECRET_PASSWORD valueFrom: secretKeyRef: name: mysecret key: password optional: false # same as default; "mysecret" must exist # and include a key named "password" restartPolicy: Never
Create a Secret from File , run the below command to do the same. However the adjust the file location according to your file location available.
kubectl create secret mysecret-from-file db-user-pass --from-file=./username.txt --from-file=./password.txt
To use a Secret as a File in a Pod:
If you want to access data from a Secret in a Pod, one way to do that is to have Kubernetes make the value of that Secret be available as a file inside the filesystem of one or more of the Pod's containers.
- Create a secret or use an existing one. Multiple Pods can reference the same secret.
- Modify your Pod definition to add a volume under .spec.volumes. Name the volume anything, and have a .spec.volumes.secret.secretName field equal to the name of the Secret object.
- Add a .spec.containers.volumeMounts to each container that needs the secret. Specify .spec.containers.volumeMounts.readOnly = true and .spec.containers.volumeMounts.mountPath to an unused directory name where you would like the secrets to appear.
- Modify your image or command line so that the program looks for files in that directory. Each key in the secret data map becomes the filename under mountPath.
apiVersion: v1 kind: Pod metadata: name: mypod spec: containers: - name: mypod image: redis volumeMounts: - name: username.txt mountPath: "/etc/username.txt" readOnly: true - name: password mountPath: "/etc/password.txt" readOnly: true volumes: - name: username.txt secret: secretName: mysecret-from-file optional: false # default setting; "mysecret" must exist - name: password.txt secret: secretName: mysecret-from-file optional: false # default setting; "mysecret" must exist
Created: May 29, 2023 00:53:18