Blog

There are many different paths into the tech industry, Carmel has been speaking at some local schools about joining the industry from a scientific background. In this post she discusses the crucial tools which science gives you which can help you succeed in tech!

In this blog we discuss building a secure data solution using Azure Data Lake. Data Lake has many features which enable fine grained security and data separation. It is also built on Azure Storage which enables us to take advantage of all of those features and means that ADLS is still a cost effective storage option!This post runs through some of the great features of ADLS and runs through an example of how we build our solutions using this technology!

In January 2020, Carmel is speaking about creating high performance geospatial algorithms in C# which can detect suspicious vessel activity, which is used to help alert law enforcement to illegal fishing. The input data is fed from Azure Data Lake Storage Gen 2, and converted into data projections optimised for high-performance computation. This code is then hosted in Azure Functions for cheap, consumption based processing.

Are you configuring your Azure App Service to use a VNet? The regional VNet integration for an Azure App Service is a preview feature, and so comes with some quirks. One of the documented limitations of this preview feature is that "The feature is only available from newer App Service scale units that support PremiumV2 App Service plans." This has interesting implications as to how you need to deploy your App Service, otherwise you could end up with a rather perplexing pattern of errors. Read about how we came about this error, and how we ended up fixing it.

Discover 'positional patterns' in C# 8, their interaction with custom desconstructors, and unexpected behaviors.

Expression Trees are one of .NET's super powers; but they are hugely overlooked and misunderstood. They can be used for on-the-fly code generation; building DSLs, and producing high performance computational algorithms. I'm trying to gather evidence about how you are using them, to make a case for future investments in the Expression Tree subsystem in .NET Core / .NET 5.0

Explore how ref struct types like Span<T> in C# enhance performance but pose async method challenges, and learn mitigation techniques.

Both of endjin's apprentices won in their categories of Apprentice Engineer and Cloud Apprentice at the Rising Star Awards.

GitHub Actions is GitHub's new CI/CD platform. It is comparable with Azure Pipelines, which forms part of the Azure DevOps suite. In this post, Mike Larah looks at the similarities and differences in the high-level concepts and terminology between the two platforms.

Explore Azure Durable Functions as an alternative to long-running operations, overcoming HTTP Triggers' 230s limit in Azure Load Balancer.

Remote working allows us to work from anywhere we want. This brings a huge amount of flexibility in freedom, however we do need the help of a working laptop! When Carmel's laptop gave in just before a trip, she used Azure DevTestLabs to allow her to continue to work using a 10 year old Mac that probably couldn't wouldn't have been up to the task alone...

A guide to enabling SSH on Raspberry Pi, accessing it via Windows 10, and setting up passwordless SSH access.

Explore techniques for high-performance, low-allocation code in Azure Functions using C#, including data streaming, list preallocation, and Span&lt;T&gt;.

Running an Azure Function in a Docker container on Raspberry Pi 4 with this step-by-step guide and ready-to-use code for your projects.

Learn to import/export notebooks in Databricks workspaces manually or programmatically, and transfer content between workspaces efficiently.

In this post we show a smooth entry animation for D3.js donut (or pie) charts, using a combination of a sweep and a zoom to give a corkscrew-like effect.

Machine learning often seems like a black box. This post walks through what's actually happening under the covers, in an attempt to de-mystify the process!Neural networks are built up of neurons. In a shallow neural network we have an input layer, a "hidden" layer of neurons, and an output layer. For deep learning, there is simply more hidden layers which allows for combining neuron's inputs and outputs to build up a more detailed picture.If you have an interest in Machine Learning and what is really happening, definitely give this a read (WARNING: Some algebra ahead...)!

Explore solutions for JsonDecodeError in Databricks CLI & Clusters. Learn how pre-built CLIs/SDKs simplify requests & authentication in REST APIs.

This blog is part of a series around design patterns. This post focuses on the composite pattern. The composite pattern is often used in situations where you want to me able to treat groups and individuals in the same way during processing.

Explore how to build secure solutions on Azure using Azure Functions and Managed Identities, eliminating the need for storing credentials.

Traverse the builder pattern in this design patterns series, simplifying complex object creation and separating construction from usage.

Explore using AzureAD with Az module in PowerShell Core, as Az may not fully replace AzureAD. Learn to utilize both for optimal functionality.

Here is a blog written by our apprentice Carmel after her second year of the apprenticeship. We think it demonstrates the huge variety of things we get to work on here at endjin, and highlights the best of the blogs that Carmel produced through during the year - of which there were a lot!If you think an apprenticeship with us is something which might interest you - send a CV through to hello@endjin.com!

Investigate the differences between factory method and abstract factory design patterns in this first blog of our series.

Automate Power BI workspaces creation & security using PowerShell & Azure DevOps pipelines in a wider DevOps strategy with Azure data platform services.