Elastic Kubernetes Service (EKS) is a TKE service mode that allows you to deploy workloads without purchasing any nodes. EKS is fully compatible with native Kubernetes, allowing you to purchase and manage resources natively. This service is billed based on the actual amount of resources used by containers. In addition, EKS provides extended support for Tencent Cloud products, such as storage and network products, and can ensure the secure isolation of containers. EKS is ready to use out-of-the-box.
Containers are virtualization tools applied at the process level. With the ability to isolate and control system resources, containers restrict global resources access to processes in selected containers. A container image is a virtual machine snapshot and can be seen as the static form of a container. An image defines all files and dependencies required to run a container, ensuring consistency for running the container.
By containerization, all applications and their dependencies are packaged into an image, and then use the image to generate a resource-isolated environment to run the applications. This allows the applications to run independently in a consistent environment in a simple and efficient manner.
Kubernetes is an open-source Container Orchestration Engine (COE) inspired by a Google project called Borg. It is one of the most important components of the Cloud Native Computing Foundation (CNCF). Kubernetes provides production-level features such as application orchestration, container scheduling, service discovery, and autoscaling. For more information, see Kubernetes Documentation.
EKS is community-driven and supports the latest version of Kubernetes and native Kubernetes cluster management. It serves as a plug-in to provide extended support for Tencent Cloud products, such as storage, network, and load balancing products. EKS is ready to use out-of-the-box.
EKS is a fully-managed Kubernetes service, which means that you do not need to manage any computing nodes. EKS delivers computing resources by using Pods. It allows you to purchase, return, and manage cloud resources as in Kubernetes.
EKS can achieve 99.95% or higher availability based on the mature virtualization technology and network architecture of Tencent Cloud. Tencent Cloud ensures virtual isolation and network isolation between the EKS clusters of different users and allows users to configure network policies for a specific service by using services such as security groups and network Access Control List (ACL).
With the lightweight virtual technology developed by Tencent Cloud, you can create or delete a TKE instance within seconds to ensure higher efficiency when creating resources. EKS allows you to configure the native Horizontal Pod Autoscaler (HPA) of Kubernetes so that services can be automatically scaled based on actual loads.
The serverless architecture allows EKS to provide higher resource utilization and lower OPS costs. The flexible and efficient auto scaling capability ensures that EKS only consumes the amount of resources required by the current load.
EKS can be highly integrated with most Tencent Cloud services, including the storage products Cloud Block Storage (CBS), Cloud File Storage (CFS), and Cloud Object Storage (COS), TencentDB product family, and virtual private cloud (VPC) product family. With this capability, EKS can provide solutions that meet the requirements of a wide range of businesses.
EKS is a fully-managed and serverless Kubernetes service. Managed control-plane resources such as the Master and Etcd are not billed in an elastic cluster. This billing method is similar to that of a TKE-managed cluster. Workloads running in an elastic cluster are billed in pay-as-you-go mode. The fees are calculated based on the configured amount of resources and the actual use period. For more information, see Pricing.
|Kubernetes||This feature is natively supported.||This feature is natively supported. Some features are not supported due to the lack of computing nodes. For more information, see Unsupported Features.|
|VPC||This feature is supported.|
|Computing nodes||You need to purchase and manage computing nodes such as Cloud Virtual Machine (CVM) and Bare Metal (BM) nodes on your own.||You do not need to purchase any computing nodes.|
|Management method||Native Kubernetes APIs and Kubectl are supported.|
|Clusters||Multiple clusters can be created and managed.|
|Namespaces||This feature is natively supported.|
|Workloads||This feature is natively supported.||Native Kubernetes workloads, except DaemonSet, are supported.|
|Services||This feature is natively supported. A CLB plug-in is integrated with TKE.|
|Storage||This feature is natively supported. Plug-ins such as CBS and CFS can be integrated with TKE.|
Running microservices with EKS can free users from OPS of computing nodes. A service can be automatically scaled based on the actual load, and the necessary amount of resources is used to run applications, which reduces resource costs.
To run an offline computing task with EKS, you simply need to prepare a container image to quickly deploy workloads for the task. In addition, EKS bills only the actual amount of computing resources used during the execution of the task and stops billing when pods are automatically released after the task ends.
EKS can run online inference services by using CPU, GPU, and vGPU resources. The abundant resource specifications and the workloads that support autoscaling improve the operating efficiency and cost-effectiveness of the online inference services.