March 11th, 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.
February 8th, 2020
Message design in an event-driven architecture can be quite nuanced, especially if you want to achieve any of the benefits of loose coupling that they can be associated with.
January 26th, 2020
“Serverless” containers could help you to avoid the complexity of Kubernetes, but you may struggle to leverage them for anything beyond small, predictable workloads or batch jobs.
December 14th, 2019
Enterprise messaging patterns are complex beasts that often warrant a common implementation across your endpoints. Should you ever be tempted to roll your own?
November 17th, 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.
October 28th, 2019
Persisting aggregates of AppInsights data in a warehouse can be a useful means of distributing summary information or retaining monitoring data over the long term. You can automate the harvesting of these aggregates using Azure Data Factory.
October 6th, 2019
The problem of shared databases is not confined to monolithic systems. A big store of shared state is the guilty secret lurking in many a microservice architecture.
September 9th, 2019
There’s more to adopting trunk-based development than deciding to shun long-lived branches. You need a confident development team, a loosely coupled code base and efficient build automation to make it stick.
August 12th, 2019
Agile process tends not to generate the kind of metrics that management teams feed on. Should this be a problem?
July 22nd, 2019
Attempts at SonarQube adoption often fail to gain traction with development teams. The concern is that it presents a view of “code quality” that is not relevant to the problems teams face on a day-to-day basis. Does it measure the wrong thing?
July 4th, 2019
Azure Data Factory has been much improved with the addition of data flows, but it suffers from some familiar integration platform shortcomings. The claim of enabling a “code free” warehouse may be pushing things a bit.
June 22nd, 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.
June 8th, 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.
May 15th, 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.
April 21st, 2019
Microsoft have published advice for maximising performance with Azure Service Bus, but there doesn’t appear to be any explicit advice for optimising the newer .Net Standard based SDK.