tb.lx Tech Radar is a visualization tool designed to help track and manage technology adoption and innovation within our company. It provides an overview of the technologies, tools, platforms, and practices we're exploring, using, or phasing out across various stages of maturity.

Our Tech Radar concept draws inspiration from ThoughtWorks, and their well-known Technology Radar. In addition, our project builds upon the open-source tech-radar project originally developed by Zalando under the MIT license.

While we've retained some foundational elements of the Zalando project, we've expanded it significantly to meet our unique requirements, adding new automation features providing an enhanced collaboration experience.

You can access a preview of the radar here.

The tech radar is built predicated on data entries specified in /docs/data

Entries are positioned automatically so that they don't overlap.

The quadrants of the radar, and the order of the rings inside the radar will be drawn in the order as shown below:

For a new Technology Radar release, create a folder under /docs/data with the name of the release. In each release folder create a file in Markdown format (.md) with the same name and place the information there.

The data must conform to the format below for the radar to be generated correctly. Each file has a front-matter header where the attributes of the item are listed and are passed down to the radar.

---
label: Item name
quadrant: 2
ring : 1
moved: 0
---

# Item name

Description text goes here.

Following front-matter attributes are possible:

• label: Name of the Item
• quadrant: 0,1,2,3 (counting clockwise, starting from bottom right)
• ring: 0,1,2,3 (starting from inside)
• moved:
  • -1 = moved out (triangle pointing down)
  • 0 = not moved (circle)
  • 1 = moved in (triangle pointing up)

The name of the Markdown file acts as item identifier and may overwrite items with the same name from older releases.

If an item is overwritten in a new release, the attributes from the new item are merged with the old ones and a new history entry is created for that item.

After setting up your data you need to run yarn parse to output the data to the radar.

• Node.js
• yarn
• Docker

• clone the repo
• yarn for dependencies installation

• yarn start for webpack-dev-server
• yarn parse to convert markdown data to JSON

• docker-compose up to run the container
• Open local dev server in https://localhost:3000
• Open Browser-sync in https://localhost:3001

We use SemVer for versioning.

This project is released under the MIT License. It incorporates code and ideas from the Zalando tech-radar project © Zalando SE, as well as substantial additional work © 2020 tb.lx by Daimler Truck.