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The CNCF Cloud Native Landscape Project is intended as a map through the previously uncharted terrain of cloud native technologies. This attempts to categorize most of the projects and product offerings in the cloud native space. There are many routes to deploying a cloud native application, with CNCF Projects representing a particularly well-traveled path. It has been built in collaboration with Redpoint Ventures and Amplify Partners.
The software for the interactive landscape has been extracted to https://github.com/cncf/landscapeapp where it is used for other landscapes as well. This repo includes all of the data and images specific to the CNCF landscapes.
The Cloud Native Trail Map provides an overview for enterprises starting their cloud native journey.
Please see landscape.cncf.io.
If you think your company or project should be included, please open a pull request to add it to landscape.yml. For the logo, you can either upload an SVG to the
hosted_logos directory or put a URL as the value, and it will be fetched.
Netlify will generate a staging server for you to preview your updates. Please check that the logo and information appear correctly and then add
LGTM to the pull request confirming your review and requesting a merge.
The following rules will produce the most readable and attractive logos:
hosted_logosdirectory or put a URL as the value, and it will be fetched.
SVGs need to not rely on external fonts so that they will render correctly in any web browser, whether or not the correct fonts are installed. If you have the original AI file, here are the steps in Illustrator to create a proper SVG:
If the error is with data from Crunchbase you should open an account there and edit the data. If you don’t like a project description, edit it in GitHub. If your project isn’t showing the license correctly, you may need to paste the unmodified text of the license into a LICENSE file at the root of your project in GitHub, in order for GitHub to serve the license information correctly.
The canonical source for all data is landscape.yml. Once a day, we download data for projects and companies from the following sources:
As explained at https://bestpractices.coreinfrastructure.org/:
The Linux Foundation (LF) Core Infrastructure Initiative (CII) Best Practices badge is a way for Free/Libre and Open Source Software (FLOSS) projects to show that they follow best practices. Projects can voluntarily self-certify, at no cost, by using this web application to explain how they follow each best practice. The CII Best Practices Badge is inspired by the many badges available to projects on GitHub. Consumers of the badge can quickly assess which FLOSS projects are following best practices and as a result are more likely to produce higher-quality secure software.
The interactive landscape displays the status (or non-existence) of a badge for each open-source project. There’s also a feature not available through the filter bar to see all items with and without badges. Note that a passing badge is a requirement for projects to graduate in the CNCF.
We generally remove open source projects that have not had a commit in over 3 months. Note that for projects not hosted on GitHub, we need them to mirror to GitHub to fetch updates, and we try to work with projects when their mirrors are broken. Here is view of projects sorted by last update (ignoring categories like KCSPs, Certified Kubernetes, and members): https://landscape.cncf.io/category=provisioning,runtime,orchestration-management,app-definition-and-development,paa-s-container-service,serverless&format=card-mode&grouping=no&license=open-source&sort=latest-commit
We generally remove closed source products when they have not tweeted in over 3 months. This doesn’t apply to Chinese companies without Twitter accounts, since Twitter is blocked there. Here is a view of products sorted by last tweet (ignoring categories like KCSPs, Certified Kubernetes, and members): https://landscape.cncf.io/category=provisioning,runtime,orchestration-management,app-definition-and-development,paa-s-container-service,serverless,observability-and-analysis&format=card-mode&grouping=no&license=not-open-source&sort=latest-tweet
Items that have been removed can apply to be re-added using the regular New Entries criteria above.
This repository contains data received from Crunchbase. This data is not licensed pursuant to the Apache License. It is subject to Crunchbase’s Data Access Terms, available at https://data.crunchbase.com/v3.1/docs/terms, and is only permitted to be used with this CNCF Cloud Native Landscape Project.
Everything else is under the Apache License, Version 2.0, except for project and product logos, which are generally copyrighted by the company that created them, and are simply cached here for reliability. The trail map, static landscape, serverless landscape, and landscape.yml file are alternatively available under the Creative Commons Attribution 4.0 license.
The CNCF Trail Map is available in these formats:
The CNCF Cloud Native Landscape is available in these formats:
The CNCF Serverless Landscape is available in these formats:
The file src/components/MainContent2.js describes the key elements of a landscape big picture. It specifies where to put these sections: App Definition and Development, Orchesteration & Management, Runtime, Provisioning, Cloud,
Platform, Observability and Analyzis, Special. Also it specifies where to locate the link to the serverless preview and an info with a QR code.
All these elements should have
height properties to
cols specify how much columns or rows we expect in a
given horizontal or vertical section.
When we see that those elements can not fit the sections, we need to either increase the width of all the horizontal sections, or increase height and amount of rows in a single horitzontal section and adjust the position of sections below.
Beside that, we have to adjust the width of a parent div (1620), the width in a
src/components/BigPicture/FullscreenLandscape.js (1640) and the width in a
tools/renderLandscape.js (6560, because of x4 zoom and margins)
Serverless has a same approach, files are
tools/renderLandscape.js, with a full width of 3450 (because of x3 zoom and
Sometimes the total height is changed too, then we need to adjust the height the same way as we adjust the width.
We have an experimental
fitWidth property, it is good when you want to get rid of
an extra space on the right of a section.
The best way to test that layout is ok, is to visit
/serverless, and if it looks ok, run
tools/renderLandscape and see the rendered png files, they are in src/images