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One of the great benefits of Azure (and the Cloud in general) is the simplicity with which you can create and scale resources. The downside to this is that you can easily lose track what you’ve got deployed, or accidentally create expensive items and leave them running. We wanted a way to track our spending […]


One very useful but little used pattern when working with Resource Manager templates, is the ability to use parameters to optionally deploy resources, constrain certain resource configurations based on other user defined parameters, or to toggle parameters based on other values. To give a couple of concrete examples, imagine we have a highly reusable template […]


Cloud Adoption: Risks & Mitigations Analysis

by Howard van Rooijen

Guest Blogger – Barry Smart IT Director & Partner, Hymans Robertson Barry is IT Director at Hymans Robertson, the largest independent firm of consultants and actuaries in the UK. He is responsible for leading the firm’s technology strategy. The firm is turning increasingly to technology to enhance and extend the services it provides to clients. […]


What is Azure Machine Learning? Azure Machine Learning (Azure ML) is a fully managed cloud service that enables you to easily build, deploy and share predictive analytics solutions. Azure ML allows you to create a predictive analytic experiment and then directly publish that as a web service. The web service API can be used in […]


We’re currently working on a project to migrate a customer from AWS to Azure. As always, we like to put a Continuous Delivery pipeline at the heart of the project to ensure there is zero friction pushing out changes across all dev, test and production environments. Two years ago I wrote about the process we […]


It’s #FinTechWeek in the UK, which means it’s the perfect time to share a customer story; for the past 3 years endjin have been helping Hymans Robertson, a market leading actuarial consultancy who have realigned their business towards innovation, placing FinTech and the cloud at the heart of their offerings in the emerging API, Data, […]


Azure data services part 3: Azure Machine Learning

by Alice Waddicor

In parts 1 and 2 of this mini-series, I wrote brief intros to HDInsight and Stream Insight, Azure’s offerings for big data analytics and real-time analytics. Next up, Azure Machine Learning. What it’s for: Azure Machine learning provides a GUI with drag and drop pre-built components for carrying out predictive analytics. You can also plug […]


Azure data services part 2: Stream Insight

by Alice Waddicor

This blog is part of a series where I’m writing up my notes from a training session on Azure’s data services. The previous post dealt with Azure’s Hadoop implementation, HDInsight. This week, I’m going to write about Stream Insight. What it’s for: Stream Insight is an Azure service for real-time event processing. Use cases for […]


Azure data services part 1: HDInsight

by Alice Waddicor

Last Autumn, Richard Kerslake and I were lucky enough to land in the warmth of Barcelona, for a Microsoft Analytics training event. The sessions gave an introduction to Azure’s HDInsight, Stream Analytics and Machine Learning services. I’m going to write up a quick summary of what I learned about each service, starting with HDInsight. What […]


SpecFlow Extensions for Azure Storage Emulator

by Howard van Rooijen

In most cases, when writing an integration specifications against Azure Storage, you want to use the real thing rather than the Storage Emulator as the performance profile and behaviours are noticeably different. One exception is if you’ve hosted your code in a public repo; in this case you really don’t want to commit your real […]