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Kubernetes is a ppt of explanation of kubernet topics
- 5. What is Kubernetes Kubernetes is an open-source container orchestrator that was developed by Google to manage applications that run in a container environment. Kubernetes automates the deployment, scaling, and operation of application containers. and provides tools and APIs to manage production workloads on containers. It also supports multiple cloud and bare-metal environments, and was designed for extensibility, so there is a rich ecosystem of plug-ins that extend its functionality. There are plug-ins for scheduling, storage, networking, and so on. So, why use containers? In short, containers are small, agile, and portable, so they can help you deploy and manage applications quickly, and scale up or down in response to demand. In the container deployment model, applications are not tied to specific host computers, so they can be distributed across available resources in a more efficient way. This kind of environment is ideal for deploying microservices. Microservices is an architectural style that decomposes an application into a set of loosely-coupled services, which can be fine-grained and lightweight. This style promotes modularity, parallel development, continuous delivery, and numerous other benefits. But, having numerous microservices that run on containers can become challenging to manage, so that’s where Kubernetes comes in.
- 6. Why Kubernetes Containers are a good way to bundle and run your applications. In a production environment, you need to manage the containers that run the applications and ensure that there is no downtime. For example, if a container goes down, another container needs to start. Wouldn’t it be easier if this behavior was handled by a system? That’s how Kubernetes comes to the rescue! Kubernetes provides you with a framework to run distributed systems resiliently. It takes care of scaling and failover for your application, provides deployment patterns, and more. For example, Kubernetes can easily manage a canary deployment for your system. The primary advantage of using Kubernetes in your environment, especially if you are optimizing app dev for the cloud, is that it gives you the platform to schedule and run containers on clusters of physical or virtual machines. More broadly, it helps you fully implement and rely on a container-based infrastructure in production environments. And because Kubernetes is all about automation of operational tasks, you can do many of the same things that other application platforms or management systems let you do, but for your containers.
- 7. Why Kubernetes Service discovery and load balancing Kubernetes can expose a container using the DNS name or using their own IP address. If traffic to a container is high, Kubernetes is able to load balance and distribute the network traffic so that the deployment is stable. Storage orchestration Kubernetes allows you to automatically mount a storage system of your choice, such as local storages, public cloud providers, and more. Automated rollouts and rollbacks You can describe the desired state for your deployed containers using Kubernetes, and it can change the actual state to the desired state at a controlled rate. For example, you can automate Kubernetes to create new containers for your deployment, remove existing containers and adopt all their resources to the new container. Automatic bin packing You provide Kubernetes with a cluster of nodes that it can use to run containerized tasks. You tell Kubernetes how much CPU and memory (RAM) each container needs. Kubernetes can fit containers onto your nodes to make the best use of your resources.
- 8. Why Kubernetes Self-healing Kubernetes restarts containers that fail, replaces containers, kills containers that don’t respond to your user-defined health check, and doesn’t advertise them to clients until they are ready to serve. Secret and configuration management Kubernetes lets you store and manage sensitive information, such as passwords, OAuth tokens, and ssh keys. You can deploy and update secrets and application configuration without rebuilding your container images, and without exposing secrets in your stack configuration.
- 11. The Kubernetes architecture is based around this concept of a cluster. A cluster consists of one or more virtual machines that are called worker nodes. Each worker node represents a compute host where you can deploy, run, and manage containerized applications. Worker nodes are managed by a Kubernetes master node that controls and monitors all Kubernetes resources in the cluster. A scheduler service decides where to deploy the app, taking into account the deployment requirements and available capacity in the cluster. For simplicity, this diagram only shows two worker nodes, but in a production environment, you might want to have at least three worker nodes.
- 13. Container Orchestrator As a container orchestrator, Kubernetes manages the deployment, placement, and lifecycle of workload containers. It can: Federate multiple compute hosts, or nodes, into one target, called a cluster, Distribute containers across nodes, Distribute client requests across containers, Discover services, Replicate nodes and containers to handle increased workload, and Replace unhealthy nodes and containers.