Blog

Adanma spent a week with endjin gaining work experience, to see if a job in the world of Tech is something she'd like to do.

In the world of DevOps, cloud and platform services, how does a developer's "definition of done" need to change? This post argues that as the silos of development and operations are broken down, the responsibility of understanding the whole solution increases meaning, to truly take advantage of the cloud, the need for quality and professionalism is critical for success.

Many organisations are starting to adopt the R Programming Language for their data science and financial modelling scenarios. But just because the language is being used for modelling, doesn't mean you should write unit tests that can be exercised as part of your CI/CD pipeline. In this blog post Jess Panni demonstrates how you can run R unit tests inside Azure DevOps.

Learn how to combine the power of Azure Resource Manager and Octopus Deploy for a frictionless Azure DevOps experience.

In the first part of this series, we look at how you take a strategic look at the risks of adopting Microsoft Azure, and how you report these to C-level execs.

Explore creating and testing an Azure ML Studio web service using Postman for efficient machine learning model production.

Meta-Runners allow you to easily create reusable build components for TeamCity, in this post I demonstrate how to create a Meta-Runner to create Azure Application Insights Release Annotations.

Alice reflects on year 2, being given more responsibility, diving deeper into all aspects of software delivery, and the good habits she's been building.

This post explores how to automate the deployment of R models to Azure Machine Learning using reusable scripts that integrate with Azure DevOps and standard ALM processes.

In this post, Mike Larah reflects on his experiences going through the endjin three-year apprenticeship scheme

We've improved our approach for saving money by turning off our virtual machines outside of office hours. This post explored how to do it using graphical runbooks.

What do machine learning and data science actually mean? This post digs into the detail behind the endjin approach to structured experimentation, arguing that the "science" is really all about following the process, allowing you to iterate to insights quickly when there are no guarantees of success.

We have produced an insightful booklet called "Embracing Disruption - Financial Services and the Microsoft Cloud" which examines the challenges and opportunities for the Financial Service Industry in the UK, through the lens of Microsoft Azure, Security, Privacy & Data Sovereignty, Data Ingestion, Transformation & Enrichment, Big Compute, Big Data, Insights & Visualisation, Infrastructure, Ops & Support, and the API Economy.

In this post we discuss the characteristics of a great FinTech startup, and the importance of the API Economy to innovation in Financial Services.

Hymans Robertson was set up in Glasgow in 1921 and is one of the longest established independent firms of consultants and actuaries in the UK. Hymans Robertson soon realised that the computational requirements of their models exceeded the capacity of their on-premise datacentres and that the most cost effective solution would be to use the cloud to perform their Big Compute. But before they could harness the cloud to help them solve their Big Data problems, the business needed to understand the ramifications of moving to the cloud; everything from regulatory, risk and compliance concerns,  to how their internal Ops team would need to evolve and adapt, and how to deal with moving data from on-prem into the cloud.

There is a lot of hype about the blockchain - usually wrapped up with talk about Bitcoin and crypto-currencies. In this article, we look at its impact on trust, and auditability in financial services, and why it may (or may not) be appropriate for your solutions.

In this post we review the FCA's guidelines for the adoption of cloud services by FinTech businesses, and help you to understand their impact across the value chain.

To celebrate FinTech Week, we've released an eBook based our our talk about Disruption in Financial Services at Future Decoded.

This post looks at what machine learning really is (and isn't), dispelling some of the myths and hype that have emerged as the interest in data science, predictive analytics and machine learning has grown. Without any hard guarantees of success, it argues that machine learning as a discipline is simply trial and error at scale – proving or disproving statistical scenarios through structured experimentation.

Mike Larah shares his tips for how to best customize ConEmu to improve your terminal experience for Windows Command Prompy and PowerShell

Exploring the creation of a tool to detect accidental .NET API changes for accurate SemVer in NuGet packages.

We recently upgraded our TeamCity based CI/CD environment, but we had to make some adjustments to fix failing tests.

This post explains how to find the local data folder location for running U-SQL scripts locally in Visual Studio, which changed between versions of the Data Lake Tools.

Meta-Runners allow you to easily create reusable build components for TeamCity, in this post I demonstrate how to create a Meta-Runner to wrap ILMerge functionality.

Learn how to authenticate against Azure Resource Manager using PowerShell, for fully automated deployments.