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Insights / Blog / Tech

AOE Technology Radar Version #8

July 10, 2024
Stefan RotschStefan RotschSenior Solution Architect

Forward-looking solutions, contemporary business models: technological innovations are constantly opening up new opportunities for you and your IT organization. In our latest AOE Technology Radar #8 release from July 2024, we take a look at the top tech trends that you should keep an eye on for your company. Here you will find all the information you need on how we view certain topics, trends and technologies that are NEW AND IMPORTANT to us based on our many years of technology and software development experience.

As usual, we have divided our AOE Technology Radar into four categories in version #8:

  • Languages & Frameworks
  • Methods & Patterns
  • Platform & Operations
  • Tools

If this is your first contact with a Technology Radar, we have here a Guide "How to use the AOE Technology Radar".

Highlights of Version #8

In the new version #8 of the AOE Technology Radar, you can expect a total of 230 entries from 44 authors, 86 of which are "featured" on the start page/visible in the radar. Of these, 19 new entries have been written by 18 authors and 18 descriptions have been updated, while 31 blips have been hidden. 
In order to make optimal use of the radar despite the constantly increasing number of blips, we recommend using the tags to filter the entries by topic. The tags allow a much more granular filtering than the categorization of the entries into the four quadrants listed above.
With the upgrade to the Tech Radar Tool v4, the search function (in "Technologies Overview") has also been significantly improved and includes not only titles but also descriptions and provides weighted search results.
For the first time, we have also tagged the technologies and methods for which AOE offers suitable training courses as part of the AOE Academy. You can find more details about our training courses here.

Follow-Ups of Version #7

After the disruptive change brought about by React Server Components, we naturally looked into new CSS-in-JS libraries. With Panda CSS and StyleX, we have included two promising candidates in "Assess". The entry for "CSS-in-JS" has also been adapted accordingly.
The "assess" of AI-assisted programming covered two areas: the creation of the legal framework for the use of generative AI in our customer projects and the analysis of suitable tools. While the legal aspect was resolved through individual agreements with our customers, GitHub Copilot (Adopt) emerged as the development teams' preferred tool. AI-Assisted-Programming thus changes its status to Adopt.

New and noteworthy

We have also updated existing articles this year to take account of the constant further development. The changes in the latest versions of Cypress or Spring Boot are therefore mentioned, as are new tools and methods in the area of Strategic Domain-Driven Design.
With "Monolith First", a new pattern in the sense of "One size fits all - or not?" has been included, which deals with the architectural foundations of new (greenfield) software projects: Here, starting small and without excessive overhead is in no way at odds with scaling later - if you do it "right".
With "Fitness Functions", another pattern from the "everything as code" topic area is making its way onto our AOE Technology Radar, which describes metrics for achieving quality goals within the framework of CI/CD pipelines.
The license change at TerraForm by HashiCorp has caused quite a stir in the DevOps community. We are currently still observing the exact consequences and are not (yet) explicitly against the use of TerraForm. However, we are also following the development of OpenTofu as a community-driven open source alternative.

Megatrend Retrieval-Augmented Generation

Of course, we are also closely following the Retrieval-Augmented Generation (RAG) megatrend and have therefore added it to our radar. The article summarizes the advantages and areas of application, but also identifies some of the challenges we face in practical use.
In the context of RAG, we take a look at LangChain as a framework for the implementation of chatbots or conversational agents, which provides various open source libraries in a bundled form. On the other hand, we rely on Ollama for the local operation of large language models (LLMs) as part of the development of RAG applications.
All entries from the AI area have been combined under the new tag "AI". This allows you to filter the radar more quickly for relevant entries.

AOE Technology Radar - The open way to evaluate technology 

At AOE, we believe that an open exchange and joint development of the technology industry benefits everyone involved. That's why we make our Technology Radar available as an open source tool to our customers as well as other IT organizations and developers. The AOE Technology Radar can also serve a valuable function in your IT organization, as it encourages joint learning and cross-team innovation. It also helps you to reduce risks in your technology portfolio and make informed decisions.

Further reading: https://www.aoe.com/techradar/


 Stay tuned! In addition to the updated content, we are also preparing a new feature that we will be introducing to you in the coming weeks.

About the author

Stefan Rotsch has many years of expertise in the development and architecture of complex web applications. As a Solution Architect at AOE GmbH, he analyzes and designs software projects and supports customers and development teams from conception to successful go-live. He has been dealing with the topics of "sustainability through digitalization" and "green IT" for some time and has already given several lectures on the subject.