February 16th, 2018

What should a Scaled Agile “architectural runway” actually look like?

The Scaled Agile Framework talks about an “architectural runway” as the main deliverable for agile architecture, yet it’s vague on the detail of what this looks like.

January 21st, 2018

Automating Docker image deployments using Azure Container Instances

Azure’s Container Instances provides an easy and quick way to run Docker images without having to learn the various complexities of orchestration platforms such as Kubernetes.

January 6th, 2018

Can TOGAF and Agile really go together?

On the face of it, TOGAF describes a very different world to the agile preference for working software over documentation. That doesn’t mean that TOGAF is incompatible with agile, so long as you’re prepared to adapt its numerous building blocks.

December 13th, 2017

Entity services: when microservices are worse than monoliths

Finely-grained, entity-based services seem to be advocated by some pretty authoritative sources. This is unfortunate as they are something of an anti-pattern that can undermine many of the benefits of decomposing an monolith into micoservices.

November 18th, 2017

Forget code coverage – test design should be driven by behaviours

Test coverage statistics are much loved by management teams and code quality tools. They tend to associate a high level of coverage with robust, well-managed code bases. Wrongly, as it turns out.

November 4th, 2017

Events, sagas and workflows: managing long-running processes between services

An event-driven architecture can give rise to complex chains of events that are difficult to manage. These problems can be mitigated through careful design rather than resorting to shared state databases or workflow engines.

October 12th, 2017

Technical debt is an overused and lazy metaphor

Technical debt may be a useful metaphor for describing how bad code design undermines productivity to non-technical audiences, but it does not help in understanding the longer term problems that affect code bases.

October 3rd, 2017

Managing and throttling serverless scaling with Azure Functions

The serverless promise of unlimited scale-out can be a curse when your downstream processes and data stores have strict limits on throughput. With Azure Functions your options for mitigating this are limited, though the new durable functions may provide an answer…

September 20th, 2017

How can Domain Driven Design help with large scale agile development?

Agile teams spend time modelling software whether they are prepared to admit it or not. Adopting a technique like Domain Driven Design can help to make this more efficient, particularly at scale.

September 3rd, 2017

Running a .Net Core console application as a Windows Service

Although .Net Core does not directly support creating Windows Services there are several different ways of creating applications that can be registered and run as services.

August 14th, 2017

When does refactoring become rewriting?

Refactoring describes a very specific and controlled technique for improving code. The problem is that it is often used to describe wholesale changes to code bases that should be treated as a rewrite.

July 22nd, 2017

The poor man’s Cassandra: scaling Azure Table Storage to maximise throughput.

Azure Table Storage can be tuned for high throughput workloads, but you’ll probably be faced with some difficult trade-offs.

July 5th, 2017

Writing unit tests for Azure Functions using C#

You can now write compiled Azure functions in C# with full unit test coverage, though there are a few obstacles along the way.

June 12th, 2017

Comparing serverless C# and .Net development using Azure Functions and AWS Lambda

Recently released toolsets for AWS Lambda and Azure Functions are finally making serverless application development available to C# developers.

May 25th, 2017

Can consumer-driven contracts manage breaking change in microservice integrations?

One of the more enduring problems with service integration is managing change in service interfaces. Consumer-driven contracts can help to detect breaking changes, but this visibility comes at a price.