DevOps Kubernetes and Python Scripting Answers

1) Can you explain Kubernetes Architecture.
Answer: 1. Master Node (Control Plane): The master node is responsible for managing the Kubernetes cluster and making global decisions about the cluster, such as scheduling, maintaining the desired state, and handling failure recovery. The master node runs several key components:
API Server (kube-apiserver): It is the entry point for all REST commands used to control the cluster. It validates and processes requests from the user, manages the state of the cluster, and communicates with other components.
Controller Manager (kube-controller-manager): This component runs controllers that are responsible for ensuring that the desired state of the cluster matches the current state. Examples of controllers are the Node Controller, Replication Controller, and Deployment Controller.
Scheduler (kube-scheduler):The scheduler watches for newly created Pods that have no node assigned and selects an appropriate node for them based on various factors like resource requirements and node constraints.
etcd: A consistent and highly-available key-value store used for storing all cluster data, including configurations, states, and metadata. All components of the cluster communicate with etcd to store and retrieve this information.
2. Worker Nodes (Node):Worker nodes are the machines (virtual or physical) that run the applications in containers. The worker node contains several key components:
Kubelet: The kubelet is an agent that runs on each worker node. It ensures that containers in the pod are running in a healthy state. It monitors the containerized applications and reports their status to the API server.
Kube Proxy: The kube-proxy is responsible for maintaining network rules that allow communication to the Pods. It manages the networking between Pods within the cluster, including load balancing and service discovery.
Container Runtime: This is the software responsible for running containers. Kubernetes supports multiple container runtimes, like Docker, containerd, and others. The container runtime is responsible for pulling container images and running the containers.
3. Pod :A Pod is the smallest deployable unit in Kubernetes. It is a group of one or more containers that are tightly coupled and share the same network namespace. Pods run on worker nodes and can contain different containers, which can communicate with each other using local host networking.
4. Other Key Components: Services: A Service is an abstraction layer that defines a logical set of Pods and a policy by which to access them. Services ensure that network communication between Pods remains stable, even if Pods are created and destroyed dynamically.
Namespace: Namespaces are used to divide cluster resources between multiple users or teams. They allow for isolation of resources within the same cluster.
Deployments: A Deployment provides declarative updates to Pods and ReplicaSets. It ensures that the desired number of Pods are running and can scale the number of Pods automatically.
ReplicaSet: A ReplicaSet ensures that a specified number of replica Pods are running at any given time. If a Pod crashes, a new one is started to maintain the replica count.
StatefulSet: Similar to a ReplicaSet but used for applications that require stable storage and ordered deployment. It’s commonly used for applications like databases.
How Kubernetes Components Interact
1. The user interacts with the API server to submit requests, such as deploying a new application or scaling an existing one.
2. The API server processes the request, stores the updated state in etcd, and informs the scheduler to determine the best nodes for deployment.
3. The scheduler assigns pods to nodes and ensures they are properly placed based on resources, availability, and constraints.
4. The kubelet on each worker node is responsible for running the Pods and maintaining the desired state.
5. The kube-proxy ensures that communication between Pods is consistent by configuring the necessary networking rules.
Kubernetes manages containers in a highly scalable and automated way, making it easier to deploy, manage, and scale applications in a production environment.
2) What is PDB , Have you applied it.
Answer: A Pod Disruption Budget (PDB) is a policy that defines the minimum number of pods that should be available during voluntary disruptions, such as when a node is drained for maintenance or when rolling updates are performed. It helps ensure that disruptions do not lead to service outages by controlling the number of concurrent pod terminations.
3) Explain the role of the kube-proxy in Kubernetes.
Answer: The kube-proxy is responsible for maintaining network rules on nodes. These rules allow network communication to your pods from network sessions inside or outside of your cluster. It is responsible for load balancing services across the pods and ensures that network traffic is correctly routed to pods, either using IP or DNS-based routing.

#devopsengineer

[nagajanardhanmunaganuri]

Thanks for making good content video it will help full a lot of people.. And I have request you if u have planning to another video consider this things
1. How to communication happed between deployment to service pods along with db communication with help of headless service.
2. How to communication happed for dependence Pod also traffic forward to another pod.

If you make video above points its more help full to others and also they will understanding to remaing resources easily.

[siddhartharaja]

Is everything okay sakshi? In the start you said few things got messed up. Just wanna make sure, if all good😊😊😊!!

[bhaskarkotini]

Hi sakshi can you please let me know where we can learn python scripting?

[jagapathibabu]

Can u please do one video for resume building how to do good ATs resume

[swarnanimmagadda]

Hi sakshi I'm swarna will u help me to learn devops AWS I have sent request in linkdin please connect .