我们已经到了一个拐点。自从亚马逊(AWS)在15年前开创了云技术之后，云基础设施已经发展到一个地步，我们可以看到云的所有部分在地球的任何地方，甚至在太空。云让曾经的科幻小说变成了科学事实。人工智能 (AI) 和机器学习(ML) 领域的模型和技术变得越来越好——以至于我们看到了一些新的用例出现，而这些用例是我们以前只能在电影和漫画中想象的。我们正在进入一个数据丰富的阶段，访问它几乎是即时的，我们以新的和微妙的方式理解它的能力实际上是自动的。但这项技术并没有取代人类。它正在增强我们与世界互动的方式。2022年对于科技来说将是激动人心的一年，它将推动我们所有人以及我们的星球在这个过程中向前发展。
K8s社区主要通过Extender Resource和Device Plugin方式给为用户提供GPU物理资源支持。 每个GPU厂商都会实现自己的Device Plugin Agent，Agent在底层节点层会将物理卡扫描上报到集群。用户用拓展资源方式在Pod创建时指定需要物理卡的数量，Device Plugin在每个Kubelet节点上做启动，并且调用各个GPU厂商的设备工具，将设备卡资源扫描上报。
In this article, you will learn why Kubernetes uses etcd as a database by building (and breaking) a 3-node etcd cluster.
In this article, you will learn how to recreate the Kubernetes RBAC authorization model from scratch and practice the relationships between Roles, ClusterRoles, ServiceAccounts, RoleBindings and ClusterRoleBindings.
In this article, you'll look at Kafka's architecture and how it supports high availability with replicated partitions. Then, you will design a Kafka cluster to achieve high availability using standard Kubernetes resources and see how it tolerates node maintenance and total node failure.
This checklist provides actionable best practices for deploying secure, scalable, and resilient services on Kubernetes.
Kubernetes doesn't load balance long-lived connections, and some Pods might receive more requests than others. If you're using HTTP/2, gRPC, RSockets, AMQP or any other long-lived connection such as a database connection, you might want to consider client-side load balancing.
In Kubernetes resource constraints are used to schedule the Pod in the right node, and it also affects which Pod is killed or starved at times of high load. In this blog, you will explore setting resource limits for a Flask web service automatically using the Vertical Pod Autoscaler and the metrics server.
here's a diagram to help you debug your deployments in Kubernetes
