This post is about adding a widget to your Azure DevOps Dashboard showing the Dependency Track information on one or more of your projects. If you are unaware what a great product Dependency Track is, I would suggest a detour and read up on it here: https://dependencytrack.org/ TL;DR OWASP Dependency Track software is described as a “Software Supply Chain Component
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Well, with Azure DevOps and Azure Kubernetes Service. But that’s it, no additional software required. Although there are plenty 3rd party solutions out there that address canary deployments, you might just get it done using “just” Azure DevOps. And in some cases, less is actually more! But to be fair, these other solutions provide a more holistic approach when it
Read moreOctober 1st, Pamela and I will be speaking at the Techorama Event in the Netherlands. We hope to see you there! Link to the event agenda: https://sched.co/TH5p Microsoft and Java, a love story. We are not talking about a summer love or a head over heels thing here: this is unconditional true love. Pamela and Yuri will share their take
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What are we trying to accomplish? Azure runs a very decent Kubernetes service these days. I have used it as the main infrastructure in a couple of projects and am quite impressed. Impressed enough to even suggest it as the target platform for our largest projects 😊 So let’s take a typical Java project, a project consisting of one or
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Say you want to use an Azure DevOps pipeline to build your containerized app. This scenario is of course supported and you would leverage all the built-in stuff (built-in container image, default container tasks, hosted build agent, etc.). You can even choose between the UI or YAML to configure the build pipeline. But what if you cannot work with the
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Some notes on the final day @ LEAP! This was the final day and filled with various talks. For me the most interesting one today was related to the upcoming .NET 3.0 🙂 .NET 3.0 Microsoft has the focus on two new workloads for .NET: AI and IoT Open Sourced WinForms and WPF in December 2018 Improved performance Repl: Browse
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Notes (not a complete recap today) of day 4 of the LEAP event (day 1, day 2, day 3). Machine Learning Fundamentals The real measure how well a ML model is performing is how well it works with data it has never seen. The training phase could use 70% of data and the Test phase the remaining 30%. More information
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