دانلود کتاب Kubernetes برای توسعه دهندگان – نسخه 11

In the past, developers would choose between ease of managing deployments, and the customizability of their environment. If you wanted a self-driving automated platform with easy scaling, you could choose a Platform as a Service (PaaS) like Heroku or AppEngine, enabling easy deployments, but limiting what you could do, such as which languages or libraries could be used. Conversely, you could fully customize your application environment and run whatever you wanted if your target was a raw Linux or Windows box, but then management and scaling was complex. Enter Containers and Kubernetes. Containers allow you to package up your application and its dependencies into a lightweight package that can be run mostly independently of the host operating system, and Kubernetes helps you manage all those containers, to keep them running and scale as needed, without you needing to manage each minute detail of the underlying hosts. This combination has proved incredibly powerful, and gained a loyal following among developers looking to gain the most flexibility to deploy whatever software they like, while keeping operations as simple as possible. While Kubernetes is still more complex than a traditional PaaS today, the flexibility to represent all different kinds of workloads; from web applications, serverless functions, stateful databases, and batch processing jobs, and run all those workloads on the same pool of compute resources makes it a powerful tool. Learning Kubernetes and deploying your applications there sets you up for the future, as it can scale as you grow, and handle future more complex workloads.