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This article introduces the relevant knowledge of "what are the advantages of kubernetes". In the operation of actual cases, many people will encounter such a dilemma. Then let the editor lead you to learn how to deal with these situations. I hope you can read it carefully and be able to achieve something!

Kubernetes introduction

Kubernetes, k8s for short, is not only the mainstream container scheduling platform, but also the operating system in the cloud native era, which shows its importance. Simply put, k8s is a portable, extensible, open source platform for managing containerized workloads and services, promoting declarative configuration and automation.

Kubernetes has a large and fast-growing ecosystem. It includes network, storage and other common requirements, while k8s has a wide range of services, support and tools available.

Kubernetes comes from the Greek word for helmsman or pilot. Google opened up the Kubernetes project in 2014. The whole project builds on Google's more than ten years of experience in running production workloads on a large scale, while combining the best ideas and practices in the community.

Kubernetes advantage

K8s is called the container scheduling platform, so it has the natural advantages of containers. The container has relaxed isolation properties, can share the operating system (OS) between applications, is lightweight and has its own file system, CPU, memory, process space, and so on, and is portable across cloud and OS distributions because it is separate from the infrastructure.

Briefly summarize the advantages of the container as follows:

Agile application creation and deployment: improves the simplicity and efficiency of container image creation compared to using VM images. Continuous development, integration, and deployment: support reliable and frequent container image construction and deployment through a quick and easy rollback (due to image immutability). Focus on the separation of development and operations: create an application container image at build / release time rather than deployment time, thereby separating the application from the infrastructure. Observability can display not only operating system-level information and metrics, but also the health of applications and other metrics signals. Consistency across development, test, and production environments: run the same on laptops as in the cloud. Portability of cross-cloud and operating system distributions: can be run on Ubuntu, RHEL, CoreOS, local, Google Kubernetes Engine, and anywhere else.

Application-centric management: increase the level of abstraction, from running OS on virtual hardware to running applications on OS using logical resources. Loosely coupled, distributed, flexible, liberated microservices: applications are broken down into smaller independent parts and can be dynamically deployed and managed-rather than running on a large stand-alone machine as a whole. Resource isolation: predictable application performance. Resource utilization: high efficiency and high density. Advantages of kubernetes architecture

Kubernetes provides you with a framework that can run distributed systems flexibly. Kubernetes will meet your extension requirements, failover, deployment patterns, etc.

Service discovery and load balancing:

Kubernetes can expose the container using the DNS name or its own IP address. If the traffic entering the container is large, Kubernetes can load balance and distribute network traffic, thus making the deployment stable. Storage choreography:

Kubernetes allows you to automatically mount storage systems of your choice, such as local storage, public cloud providers, etc. Automatic deployment and rollback:

You can use Kubernetes to describe the required state of the deployed container, which 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, delete existing containers and devote all their resources to the new containers. Automatically complete the packing calculation:

Kubernetes allows you to specify the CPU and memory (RAM) required for each container. When the container specifies a resource request, Kubernetes can make better decisions to manage the container's resources. Self-healing:

Kubernetes restarts failed containers, replaces containers, kills containers that do not respond to user-defined health checks, and does not advertise the service to the client until it is ready. Key and configuration Management:

Kubernetes allows you to store and manage sensitive information, such as passwords, OAuth tokens, and ssh keys. You can deploy and update keys and application configurations without rebuilding the container image, and you don't have to expose keys in the stack configuration. High scalability:

Kubernetes has high scalability, which is reflected in all aspects of the entire architecture, including CRI, CSI, CNI, and so on. So that we can better expand K8s to make it more suitable for our business needs. "what are the advantages of kubernetes" is introduced here, thank you for reading. If you want to know more about the industry, you can follow the website, the editor will output more high-quality practical articles for you!

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