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
In this article, you will learn how packets flow inside and outside a Kubernetes cluster. Starting from the initial web request and down to the container hosting the application.
随着应用的能力更新迭代，应用安装包体积将逐步增大，用户下载应用消耗流量产生资费进一步增长，用户下载意愿会相对下降；另一方面，随着包体积增大，安装应用的时间会相对变长，影响用户使用感受；对于ROM较小的低端手机，应用解压后内存占用更大，部分手机管家会提示内存不足提示卸载，直接影响用户使用。
