Tech on Fire: Kubernetes Secrets

Managing sensitive data such as passwords, certificates, and connection strings for application configurations used to be hard without a secrets management solution. Now though, many application environments provide this as a service and make it easy. Kubernetes is no exception. In this video, we will look at how to easily create secrets and then access…

ML & AI for Software Developers - Part 20
Text Classification with Neural Networks

It’s not difficult to use Scikit-learn to build machine-learning models that analyze text for sentiment, identify spam e-mails, and classify textual data in other ways. But state-of-the-art text classification is most often performed with neural networks. You already know how to build neural networks that do binary classification and multiclass classification using rows of numbers…

Azure Databricks Series - Part 3
Workspaces & Notebooks

Now that you’ve instantiated the Databricks service within Azure, let’s take a tour of the workspace & become familiar with Notebooks. Workspace The above image shows the Databricks homepage of this workspace. The left menu provides the majority of your options (outside of administration). Clicking on Workspace expands to the following: The workspace is divided…

Building a Tag Index with Jekyll and Liquid

Jekyll and Liquid provide a powerful yet easy-to-use set of tools for creating websites through both the plugins provided by Jekyll and the template markup provided by Liquid. While an integral part of Jekyll, Liquid is a stand-alone project widely implemented in other projects, including many other static site generators. The Jekyll page and post…

ML & AI for Software Developers - Part 16
Deep Learning

Deep learning is a subset of machine learning that relies primarily on neural networks. Most of what’s considered AI today is accomplished with deep learning. From recognizing objects in photos to real-time speech translation to using computers to generate art, music, poetry, and photorealistic faces, deep learning allows computers to perform feats of magic that…

Azure Databricks Series - Part 1
Intro to Azure Databricks

Many companies today have aging data architectures. As you look to modernize your traditional ETL pipeline, there is a tool you should keep in mind: Azure Databricks. During your move into Azure, there will probably be a place for Azure Databricks. In the past, general DTS/SSIS pipelines and SQL Server engines were sufficient but with…

Using GitHub Actions to Manage Certbot (Let’s Encrypt) Certificates

GitHub Actions is an excellent source for all things automation. For personal accounts, there’s a limited free offering that allows you to run automation jobs. I use GH actions to update my websites. I don’t think I would have written this if no existing solution worked with GitHub Actions. But after a search, I did…

ML & AI for Software Developers - Part 15
Building Machine-Learning Models with ML.NET

Scikit-learn is arguably the world’s most popular machine-learning framework. The efficacy of the library, the documentation that accompanies it, and the mindshare that surrounds it are the primary reasons more ML models are written in Python than any other language. But Scikit isn’t the only machine-learning framework. Others exist for other languages, and if you…