Deploying a Docker container on Azure ‘Web App for Containers’ can be done fairly easy. In this blog post, I will provide a step by step guide to get you started. Some basic knowledge of Azure and Docker definitely helps. But why should you care in the first place? You will get:
- a managed runtime (for a single image)
- scaling to multiple instances
- a simple deployment model
- easy integration with App Insights (Azure’s Monitoring system for Web Apps)
- use any Azure SaaS like CosmosDB, MSSQL, …
In No more Ifs I wrote a little bit about the new Optional class in Java 8. It enables the developer to work with optional values without a complex nested structure of if-then-else expressions. A colleague of mine, being a big fan of Kotlin, dropped a hint that using Kotlin, it would be much easier. He could even prove it. 🙂
Java 8 introduced with
Optional a functional datatype that enables the developer to work with optional values without nested if-statements. This can simplify your code a lot.
Apache Camel is a powerful routing and conversion engine use in many projects. In this article we present some best practices when integrating Camel into the JBoss application server aka WildFly/EAP7. Most of this is straight-forward, yet we also faced some problems with the thread pool management.
We’re glad to announce the new release of the GuttenBase database migration framework. The main but not only goal of this framework is to support database migrations between different (heterogenous) RDBMS, such as DB2, MySQL or Oracle. During the copying process you may apply various transformations such as data mapping, columns alteration, renaming tables, …
The 2.0 release features among various API enhancements and speed improvements: Java 8 support, a new tool to copy schemas between different databases, more supported database types, mapping of proprietary database column types, new documentation, …
Writing a post on any CSS selector or property (or even any new one coming up) would produce a long (and boring) blog. But :focus-within is different – and it’s something I have been waiting for forever. To me, it’s more than another pseudo-class, it’s a game-changer in many ways. And it’s in the stable versions of both Chrome and Firefox (and others). See the MDN page on :focus-within for a full (and esp. up2date) info on browser support.
What :focus-within does is quite simple, actually: it allows styling the parent(s) of the element that has the focus. Opposed to :focus (which references the element having the focus itself), it can be the direct parent, or the parent’s parent or the parent of the parent’s parent or… (you get it).
In Part I of this tutorial series, we started having a look at the Kaggle House Prices: Advanced Regression Techniques challenge, and talked about some approaches for data exploration and visualization. Armed with a better understanding of our dataset, in this post we will discuss some of the things we need to do to prepare our data for modelling. In particular, we will focus on treating missing values and encoding non-numerical data types, both of which are prerequisites for the majority of machine learning algorithms. We will briefly touch upon feature engineering as well – a crucial step for building effective predictive models. So let’s get started!
Last Wednesday, akquinet tech@spree had the pleasure to host a technology evening of the Software Initiative Berlin Brandenburg (SIBB). The event was devoted to all things data and machine learning and comprised two talks, plus plenty of discussions (and pizza) afterwards.
Data is ubiquitous these days, and being generated at an ever-increasing rate. However, left untouched and unexplored, it is of course of little use. This post will be the first in a series of tutorial articles exploring the process of moving from raw data to a predictive model. We’ll walk through the basic steps involved, and talk about some of the common pitfalls along the way.