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1. #THE CHIEF ARCHITECT TUTORIAL IS FULL OF MISTAKES UPGRADE#
2. #THE CHIEF ARCHITECT TUTORIAL IS FULL OF MISTAKES SOFTWARE#
3. #THE CHIEF ARCHITECT TUTORIAL IS FULL OF MISTAKES CODE#

Containers share the underlying OS and often common libraries, frameworks, or other pieces of middleware. Containersįirst and foremost, containers package up only the parts of the application unique to that container, like the business logic.

#THE CHIEF ARCHITECT TUTORIAL IS FULL OF MISTAKES SOFTWARE#

Let’s break down how these technologies enable modern software development methodologies. The Benefits of Creating Cloud Native Applications Containers, microservices and cloud-native application design are facilitating this.

#THE CHIEF ARCHITECT TUTORIAL IS FULL OF MISTAKES CODE#

In the new paradigm, developers actively break down work into smaller chunks, create (single-piece) flow, and take control and ownership over the pipeline that brings code from local testing all the way to production. It’s no surprise, then, that the traditional approach doesn’t work for modern software development. Operational friction, an unnecessarily large and perennial operating environment, and lack of decoupling between layers are all in sharp contrast with how lean and agile software development works. This places an unbalanced operational focus on the OS and underlying layers, instead of the place it should be: the application. Maintaining this ever-increasing complexity is a major operational pain point, and often leads to downtime.

#THE CHIEF ARCHITECT TUTORIAL IS FULL OF MISTAKES UPGRADE#

Because of this, each inplace upgrade creates potential version conflicts, stability problems, and ballooning of uncleaned recent versions on disk. New versions of the OS, its components, and other software inside the VM are layered on top of the older version. This leads to pollution and irreversible entangling of the VM in terms of OS, data, and configuration. For this reason, once a VM is built, configured and running, it usually lives on for months or years.

Without a good way of separating different layers in a VM (OS, libraries, services, application binaries, configuration, and data), swapping out different parts in this layer cake is nearly impossible. This size and tight coupling results in a number of complexities in the VM lifecycle and the applications running on top. Each OS is many gigabytes in size, which not only requires storage space, but also increases the memory footprint.

Each virtual machine (VM) ran a complete OS, no matter how big or small the VM was, or how demanding the application on top.Įach OS provided a complete execution environment for applications: this included binaries, libraries and services, as well as compute, storage, and networking resources.ĭrawbacks of this approach are the inherent size and volume of VMs. This relationship between OS and applications created a tightly-coupled bundle of everything needed to run that application. In both cases, the application and all its dependencies were installed on top of an OS. Those machines eventually became virtual. Traditionally, apps ran on top of physical machines. The way we build and run applications has changed dramatically over the years. This is an excerpt from The Gorilla Guide to Kubernetes in the Enterprise, written by Joep Piscaer.