Overview of Kubernetes with Architecture Examplained!!
- What is Kubernetes?-
- Why Do we need Kubernetes?-
- Benefits of kubernetes?-
- How Kubernetes works aka Kubernetes architecture with image-
- What is POD?
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Kubernetes is container orchestration system for automating software deployment, scaling, and management.
Kubernetes services provide load balancing and simplify container management on multiple hosts. it make easy for application withgreater scalability and be flexible and more productive.
Kubernetes is beneficial for your business productivity.
Kubernetes has Multi-cloud Capability.
It Is Cheaper Than Its Alternatives.
Kubernetes Runs Your Applications With Better Stability.
It’s now easier than ever to roll out new software versions.
Kubernetes Is Open Source And Free
An AKS cluster has at least one node, an Azure virtual machine (VM) that runs the Kubernetes node components and container runtime. The Kubernetes agent that processes the orchestration requests from the control plane along with scheduling and running the requested containers
A pod is the smallest execution instance in Kubernetes having one or more then containers in it. A pod encapsulates one or more applications. Pods are ephemeral by nature
1.What is Kubernetes?
kubernetes is an open source container orchestration platform and automates many of the manual process its involved in deploying, managing and scaling containerized application.
2.Why Do we need Kubernetes?
The Kubernetes is used to run multiple Docker containers across nodes(multiple cloud servers)
3.Benefits of kubernetes?
1. Kubernetes manages Docker containers like where to run the container, which computer is free. It schedules all the activities on the Master.
2. Communication between containers across the cluster is made easy.
3. Scaling the application is very easy. Simply you can mention how many replicas are needed. And load balancing is done easily.
4. Detects the POD(container) crashes.
5. Self-healing (fault tolerance) is available. If a container fails/crashes, then Master automatically creates another container immediately.
6. Easily roll out a new feature.
4.What is POD?
Its is smallest logical unit in kubernetes cluster, Containers are present inside the pod.
NOTE: Attaching image for 4th point
what is kubernetes ?
Kubernetes is a container orchestration system that manages and automates organizing and deploying container processes. Kubernetes began at Google and became open source in 2014. Since then, Kubernetes can be used by anyone with very few restrictions on how it can be used.
2 Why Do we need Kubernetes?-
Kubernetes allows for the efficient management of containers, regardless of the number, while monitoring all the processes and changes in the application. Kubernetes also keeps the application available all the time. For example, when a container instance stops, Kubernetes will replace it with a new instance as soon as possible.
Kubernetes will help you manage the product components more efficiently and scale with no fear around data security.
3 Benefits of kubernetes?-
Improved resource utilization and reduced IT costs
Shortened software development and release cycles
Increased software scalability and availability
4 How Kubernetes works aka Kubernetes architecture with image-
Kubernetes is a platform for managing containerized applications1. It uses a cluster of machines, called nodes, to run and organize containers2. Kubernetes provides APIs to control and manage how containers are deployed, scaled, and load balanced13. Kubernetes works like an operating system that treats the cluster as a single pool of resources4. Kubernetes is a container-orchestration system, which means it does not create containers, but manages their lifecycle35.
5. what is pod ?
A pod is the smallest execution unit in Kubernetes. A pod encapsulates one or more applications. Pods are ephemeral by nature, if a pod (or the node it executes on) fails, Kubernetes can automatically create a new replica of that pod to continue operations. Pods include one or more containers (such as Docker containers).
1.What is Kubernetes
Kubernetes will manage containers, making it easier to deploy, scale, and manage the applications.It provides a consolidated platform for running the applications reliably and efficiently regardless of the underlying infrastructure.
2.Why Do we need Kubernetes
We need Kubernetes because it simplifies the management of applications and makes them more reliable and scalable.
3.Benefits of kubernetes
Kubernetes simplifies deployment, enables scalability and high availability, optimizes resource usage, simplifies updates, offers portability, and benefits from a strong community. These advantages make Kubernetes a powerful tool for managing and running your applications effectively in modern computing environments.
4. Kubernetes provides an automated and scalable platform for managing containerized applications.
It handles container deployment, scaling, load balancing, and self-healing, making it easier to run applications reliably in a distributed environment.
5. What is POD
small group of containers that collaborate closely to form a functional unit within Kubernetes, allowing for efficient communication and resource sharing.
4. A Kubernetes cluster is a form of Kubernetes deployment architecture. Basic Kubernetes architecture exists in two parts: the control plane and the nodes or compute machines. Each node could be either a physical or virtual machine and is its own Linux environment. Every node also runs pods, which are composed of containers.
5. A pod is the smallest execution unit in Kubernetes. A pod encapsulates one or more applications. Pods are ephemeral by nature, if a pod (or the node it executes on) fails, Kubernetes can automatically create a new replica of that pod to continue operations.
1.software to manage multiple number of containers and resources used to run the containers
2.operate large scale application’s deployed in containers.
3.ha, scaling, easy to manage
4.pod- a virtual unit that holds the containers within it , the network and storage is assigned to pods not directly associated with the container.
What is Kubernetes?-
Kubernetes is an open-source container orchestration from Google.
Why Do we need Kubernetes?-
Because of it provides scalablity, load balancing and thousands of services.
Benefits of kubernetes?-
Supports at multicloud enviornment Public cloud and private. Stablity, Open-Source, autoscaling
How Kubernetes works aka Kubernetes architecture with image-
What is POD? Pod is the smallast execution unit. It hosts one or more containers in it.
What is Kubernetes?-
Kubernetes is orchestration tool that is used to automate tasks such as monitoring, scaling, management and deployment of containerized application.
Why Do we need Kubernetes?-
Kubernetes can run on all cloud as well as on-premises.
It enables application that will release and updated without any downtime.
It provides centric application management
Benefits of kubernetes?-
Self monitors health of nodes and containers.
Manages various cluster at same time.
Scale resources.
How Kubernetes works aka Kubernetes architecture with image-
Kubernetes enables dynamic resource provisioning by abstracting machine resources and presenting them to workloads using API objects.
Machines running containerized workloads in Kubernetes are referred to as nodes.
The platform follows a client-server pattern, with server machines called master nodes (collectively known as the control plane) and client machines called worker nodes.
What is POD?
Pod is smallest deployment unit in kubernetes that have one or group of containers running instances of application.
What is Kubernetes?-
Kubernetes(k8s) — is a container orchestration platform for scheduling and automating the deployment, management, and scaling of containerized applications.
Why Do we need Kubernetes?-
In Kubernetes, application images are used. Creating an image is considerably easier than creating an entire virtual machine. These applications are divided into many smaller independent elements. As a result, the process of application development is much quicker, and making changes is much more comfortable.
Kubernetes provides many tools that make application management comprehensive and efficient. Aside from health checks and access logs, there are many useful tools such as error auto correction. If there is a problem with an application, Kubernetes restarts the containers that are not working or, if necessary, transfers their data into new containers, and checks whether the application is working properly.
Benefits of Kubernetes?-
Kubernetes schedules and automates container-related tasks throughout the application lifecycle, including:
Deployment: Deploy a specified number of containers to a specified host and keep them running in a desired state.
Rollout: A rollout is a change to a deployment. Kubernetes lets you initiate, pause, resume, or roll back rollout.
Service discovery: Kubernetes can automatically expose a container to the internet or to other containers using a DNS name or IP address.
Storage provisioning: Set Kubernetes to mount persistent local or cloud storage for your containers as needed.
Load balancing: Based on CPU utilization or custom metrics, Kubernetes load balancing can distribute the workload across the network to maintain performance and stability.
Auto-scaling: When traffic spikes, Kubernetes auto scaling can spin up new clusters as needed to handle the additional workload.
Self-healing for high availability: When a container fails, Kubernetes can restart or replace it automatically to prevent downtime. It can also take down containers that don’t meet your health-check requirements.
How Kubernetes works aka Kubernetes architecture with image-
HUMAN –> Kub Master Node —-> Kub Worker Node1 —-> pod-11 —-> Container —> App
| |—-> pod-12 —-> Container —> App
| .
| .
| |—-> pod-18 —-> Container —> App
|
|
|—-> Kub Worker Node2 —-> pod-21 —-> Container —> App
| |—-> pod-22 —-> Container —> App
| .
| .
| |—-> pod-29 —-> Container —> App
.
.
.
.
|—-> Kub Worker Noden —-> pod-n1 —-> Container —> App
|—-> pod-n2 —-> Container —> App
.
.
|—-> pod-nz —-> Container —> App
What is POD?
Pods are the smallest deploy-able units in Kubernetes. A Pod represents a single instance of a running process or a group of tightly coupled processes running together on a single node. While containers are commonly used within Pods, Pods can also include multiple containers that share resources and network connectivity.
Pods act as the basic building blocks of Kubernetes. They encapsulate containers and provide a higher level of abstraction for managing and scaling applications. Pods are scheduled to individual nodes using the Kubernetes scheduler and can be distributed across multiple nodes in a cluster.
Pods serve as the unit of scaling, replication and resource allocation in Kubernetes. They enable horizontal scaling by creating multiple pod replicas to handle increased workloads.
What is Kubernetes?-
Kubernetes(k8s) — is a container orchestration platform for scheduling and automating the deployment, management, and scaling of containerized applications.
Why Do we need Kubernetes?-
In Kubernetes, application images are used. Creating an image is considerably easier than creating an entire virtual machine. These applications are divided into many smaller independent elements. As a result, the process of application development is much quicker, and making changes is much more comfortable.
Kubernetes provides many tools that make application management comprehensive and efficient. Aside from health checks and access logs, there are many useful tools such as error autocorrection. If there is a problem with an application, Kubernetes restarts the containers that are not working or, if necessary, transfers their data into new containers, and checks whether the application is working properly.
Benefits of kubernetes?-
Kubernetes schedules and automates container-related tasks throughout the application lifecycle, including:
Deployment: Deploy a specified number of containers to a specified host and keep them running in a desired state.
Rollouts: A rollout is a change to a deployment. Kubernetes lets you initiate, pause, resume, or roll back rollouts.
Service discovery: Kubernetes can automatically expose a container to the internet or to other containers using a DNS name or IP address.
Storage provisioning: Set Kubernetes to mount persistent local or cloud storage for your containers as needed.
Load balancing: Based on CPU utilization or custom metrics, Kubernetes load balancing can distribute the workload across the network to maintain performance and stability.
Autoscaling: When traffic spikes, Kubernetes autoscaling can spin up new clusters as needed to handle the additional workload.
Self-healing for high availability: When a container fails, Kubernetes can restart or replace it automatically to prevent downtime. It can also take down containers that don’t meet your health-check requirements.
How Kubernetes works aka Kubernetes architecture with image-
HUMAN –> Kub Master Node —-> Kub Worker Node1 —-> pod-11 —-> Container —> App
| |—-> pod-12 —-> Container —> App
| .
| .
| |—-> pod-18 —-> Container —> App
|
|
|—-> Kub Worker Node2 —-> pod-21 —-> Container —> App
| |—-> pod-22 —-> Container —> App
| .
| .
| |—-> pod-29 —-> Container —> App
.
.
.
.
|—-> Kub Worker Noden —-> pod-n1 —-> Container —> App
|—-> pod-n2 —-> Container —> App
.
.
|—-> pod-nz —-> Container —> App
What is POD?
Pods are the smallest deployable units in Kubernetes. A Pod represents a single instance of a running process or a group of tightly coupled processes running together on a single node. While containers are commonly used within Pods, Pods can also include multiple containers that share resources and network connectivity.
Pods act as the basic building blocks of Kubernetes. They encapsulate containers and provide a higher level of abstraction for managing and scaling applications. Pods are scheduled to individual nodes using the Kubernetes scheduler and can be distributed across multiple nodes in a cluster.
Pods serve as the unit of scaling, replication and resource allocation in Kubernetes. They enable horizontal scaling by creating multiple pod replicas to handle increased workloads.