Bliki: DefaultTrialRetire

Within each normal-sized team, limit the choice of alternatives for any class of technology to three. These are: the current sensible default, the one we're experimenting with as a trial, and the one that we hate and want to retire. The conversation goes like this: We want to introduce a new messaging technology. How many do we have already in place? Oh we have three in active use, including one that's considered legacy and we're partway through migrating off and one that we experimented with previously but didn't gain traction. Ok, so we're at our limit now. If we want to add another messaging tech then we have two choices. Either migrate all of our apps off the legacy tech, or properly rid ourselves of the failed experiment. This is quite closely related to the idea of capping the number of Innovation Tokens in use within your teams. At a team level these kinds of limits are relatively easy to maintain and discuss and act upon, because we have common priorities and ways of working and high trust, high bandwidth communication. At the scope of the whole organisation the challenge is similar, but getting alignment takes a lot longer and doing actual migration and consolidation work can take a long time - so we sometimes have to allow for more variation in technology. We also use different techniques to discuss and communicate the status of our preferred technologies. An approach we use at MYOB to engage our whole organisation in broader decisions about technology is by publishing our own MYOB Technology Radar, following the format of the Thoughtworks Technology Radar. This approach of building our own radar involves taking input from all of our verticals and teams, and making a clear statement on what technologies we encourage teams to adopt, trial, or more importantly which ones to keep clear of. https://martinfowler.com/bliki/DefaultTrialRetire.html

Creată 3y | 10 nov. 2021, 18:20:27


Autentifică-te pentru a adăuga comentarii

Alte posturi din acest grup

How is GenAI different from other code generators?

How is code generation with GenAI different from more "traditional" code generators? The newest memo in Birgitta Böckeler's explorations of GenAI talks abou

18 oct. 2023, 20:10:05 | Martin Fowler
How is GenAI different from other code generators?

How is code generation with GenAI different from more "traditional" code generators? The newest memo in Birgitta Böckeler's explorations of GenAI talks abou

19 sept. 2023, 10:10:06 | Martin Fowler
TDD with GitHub Copilot

At Thoughtworks, we are strong practitioners of Test Driven Development (TDD). Naturally this leads to the question of how generative AI can

17 aug. 2023, 20:30:07 | Martin Fowler