18 July 2021
“Low code” and “no code” platforms may be perfectly adequate for simple use cases, but they can make complex problems far more difficult to solve…
13 June 2021
A good set of architectural principles can help to scale development by laying down some basic guidelines for decision making.
12 December 2020
Data Vault 2.0 modelling can support a more agile approach to data warehouse design and data ingestion. Inevitably, this flexibility does come with a heavy burden of complexity.
20 November 2020
A technology radar can be a great technique for initiating conversations about technology, but there are some challenges in applying it to in-house development shops.
24 August 2020
There can be a tension between the lean, experimental nature of agile development and the more deliberate, planned demands of a large organisation. It does not have to be like this.
22 July 2020
“Legacy” is often used a pejorative term to describe any long-lived code base that a development team finds distasteful to work with. What do we really mean by “legacy” and how should we be dealing with it?
11 March 2020
The discipline of architecture is an important part of any efficient engineering organisation. It just needs to adapt its game from the process-orientated “Enterprise Architecture” of old to something more collaborative and relevant.
17 November 2019
Publishing a public API involves many considerations, from billing and metering through to documentation and on-boarding. These are likely to be addressed through a collection of solutions rather than a single all-singing, all-dancing API management platform.
22 June 2019
Many of the apparent benefits of monorepos can be realised through improvements in engineering culture and architecture rather than adopting a specific approach to source code storage.
8 June 2019
Maturity models are a popular way of looking at development challenges. The problem is that they are an arbitrary and inflexible tool and they tend to encourage the wrong mindset.
15 May 2019
There is often too much focus on the research aspects of machine learning. When you’re putting models into production, the maths is only part of the system.
8 March 2019
Sharing microservices across organisational boundaries is much harder than it looks. There are technical, operational, organisational and financial issues that need to be considered if you want to be successful.