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# Landscape2 guide | ||
# | ||
# This file allows defining the content of the landscape guide. | ||
|
||
# The landscape guide is organized into categories and subcategories. Each of | ||
# these entities requires a name and some content. The content can be provided | ||
# in markdown format. Categories and subcategories names are not required to | ||
# match the ones defined in the landscape data file but, when they do, those | ||
# categories/subcategories will be enriched with some extra information. So | ||
# whenever possible, it's highly recommended that they do. | ||
|
||
# We recommend using headings of level 4-6 within the content blocks as levels | ||
# 1-3 are reserved to illustrate the hierarchy of categories and subcategories. | ||
|
||
# The following example contains a subset of the CNCF landscape guide content: | ||
|
||
categories: | ||
- category: "Introduction" | ||
keywords: [] | ||
content: > | ||
If you've researched cloud native applications and technologies, you've probably come | ||
across the [CNCF cloud native landscape](https://landscape.cncf.io). Unsurprisingly, | ||
the sheer scale of it can be overwhelming. So many categories and so many technologies. | ||
How do you make sense of it? | ||
As with anything else, if you break it down and analyze it one piece at a time, you'll | ||
find it's not that complex and makes a lot of sense. In fact, the map is neatly organized | ||
by functionality and, once you understand what each category represents, navigating it | ||
becomes a lot easier. | ||
In this guide, we'll break this mammoth landscape down and provide a high-level overview | ||
of its layers, columns, and categories. | ||
subcategories: | ||
- subcategory: "What is the cloud native landscape?" | ||
content: > | ||
The goal of the cloud native landscape is to compile and organize all cloud native open | ||
source projects and proprietary products into categories, providing an overview of the | ||
current ecosystem. Organizations that have a cloud native project or product can | ||
[submit a PR](https://github.com/cncf/landscape/) to request it to be added to the | ||
landscape. | ||
- subcategory: "How to use this guide" | ||
content: > | ||
In this guide, you'll find one chapter per layer and column which discusses each category | ||
within it. Categories are broken down into: what it is, the problem it addresses, how it | ||
helps, and technical 101. While the first three sections assume no technical background, | ||
the technical 101 is targeted to engineers just getting started with cloud native. We | ||
also included a section for associated buzzwords and lists CNCF projects. | ||
> ##### INFOBOX | ||
> | ||
> When looking at the landscape, you'll note a few distinctions: | ||
> * *Projects in large boxes* are CNCF-hosted open source projects. Some are still in | ||
> the incubation phase (light blue/purple frame), while others are graduated | ||
> projects (dark blue frame). | ||
> * *Projects in small white boxes* are open source projects. | ||
> * *Products in gray boxes* are proprietary products. | ||
> | ||
> Please note that new projects are continuously becoming part of the CNCF so | ||
> always refer to the actual landscape - things are moving fast! | ||
- subcategory: "Contribute to the CNCF Landscape" | ||
content: > | ||
Are you searching for an exciting project to contribute to within the CNCF ecosystem? | ||
Look no further! The CNCF hosts a wide range of projects that span cloud-native computing. | ||
To find the perfect project for your skills and interests, check out our comprehensive | ||
contribution guide at [Getting Started](https://contribute.cncf.io/contributors/getting-started/). | ||
It provides you step-by-step instructions on getting started and offers valuable insights for | ||
both newcomers and experienced contributors. Join our vibrant community and make your mark on | ||
cloud-native innovation today! | ||
- category: "Provisioning" | ||
keywords: [] | ||
content: > | ||
Provisioning is the first layer in the cloud native landscape. It encompasses tools that | ||
are used to *create and harden* the foundation on which cloud native apps are built. | ||
You'll find tools to automatically configure, create, and manage the infrastructure, | ||
as well as for scanning, signing, and storing container images. The layer also extends | ||
to security with tools that enable policy setting and enforcement, embedded authentication | ||
and authorization, and the handling of secrets distribution. That's a mouthful, so let's | ||
discuss each category at a time. | ||
subcategories: | ||
- subcategory: "Automation & Configuration" | ||
keywords: | ||
- "Infrastructure-as-Code (IaC)" | ||
- "Automation" | ||
- "Declarative Configuration" | ||
content: > | ||
#### What it is | ||
Automation and configuration tools speed up the creation and configuration of compute | ||
resources (virtual machines, networks, firewall rules, load balancers, etc.). Tools in | ||
this category either handle different parts of the provisioning process or try to control | ||
everything end-to-end. Most provide the ability to integrate with other projects and | ||
products in the space. | ||
#### Problem it addresses | ||
Traditionally, IT processes relied on lengthy and labor intensive manual release cycles, | ||
typically between three to six months. Those cycles came with lots of human processes and | ||
controls that slowed down changes to production environments. These slow release cycles | ||
and static environments aren't compatible with cloud native development. To deliver on | ||
rapid development cycles, infrastructure must be provisioned dynamically and without | ||
human intervention. | ||
#### How it helps | ||
Tools of this category allow engineers to build computing environments without human | ||
intervention. By codifying the environment setup it becomes reproducible with the click | ||
of a button. While manual setup is error prone, once codified, environment creation | ||
matches the exact desired state -- a huge advantage. | ||
While tools may take different approaches, they all aim at reducing the required work | ||
to provision resources through automation. | ||
#### Technical 101 | ||
As we move from old-style human-driven provisioning to a new on-demand scaling model | ||
driven by the cloud, the patterns and tools we used before no longer meet our needs. | ||
Most organizations can't afford a large 24x7 staff to create, configure, and manage | ||
servers. Automated tools like Terraform reduce the level of effort required to scale | ||
tens of servers and networks with hundreds of firewall rules. Tools like Puppet, Chef, | ||
and Ansible provision and/or configure these new servers and applications | ||
programmatically as they are spun up and allow them to be consumed by developers. | ||
Some tools interact directly with the infrastructure APIs provided by platforms like | ||
AWS or vSphere, while others focus on configuring the individual machines to make them | ||
part of a Kubernetes cluster. Many, like Chef and Terraform, can interoperate to provision | ||
and configure the environment. Others, like OpenStack, exist to provide an | ||
Infrastructure-as-a-Service (IaaS) environment that other tools could consume. | ||
Fundamentally, you'll need one or more tools in this space as part of laying down the | ||
computing environment, CPU, memory, storage, and networking, for your Kubernetes clusters. | ||
You'll also need a subset of these to create and manage the Kubernetes clusters | ||
themselves. | ||
There are now over 5 CNCF projects in this space, more if you count projects like Cluster | ||
API which don't appear on the landscape. There is also a very robust set of other open | ||
source and vendor provided tools. | ||
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