Reactive programming can be used to solve a lot of different use cases. Forinstance, reactive programming can be really helpful for cases where timing is an issue. An example of such a case is retry logic with delay or backoff functionality. Let’s have a look at some different implementations using Project Reactor (https://projectreactor.io) for Java. […]
The Tunnel is the Illusion
It started as a fairly typical technical project. They had heard about Machine Learning and wanted to first know what it is. So none of our usual business first themes, just straightforward machine learning and what you can do with it. Our CTO and team again did a great job and it resulted in the […]
Leaving a Java legacy behind
As with a house, software applications require maintenance too. Otherwise, you risk the digital equivalent of rot: bit-rot. Often, the maintenance is done like with a house: Superficially to make it look nice again with a new look-and-feel, a new colour scheme (a paint job) and a few new stock photos. But every once in a […]
3 reasons why your Big Bang legacy replacement will most likely fail miserably!
This morning I was listening to the radio and first, there was an item about a large government organization that had spent 4 years and a boatload of money on a Big Bang legacy replacement. The project was canceled and had been a complete waste of time, energy and money. Right after this item, there […]
Centralized metrics with Stackdriver Prometheus Exporter
Google does not currently charge for monitoring data when it comes to GCP metrics. Therefore, if you want to monitor operations of Google Cloud Platform (GCP) services, such as: Compute Engine, Cloud SQL, Cloud Dataflow and Cloud Pub/Sub, using Google’s Cloud Monitoring service – Stackdriver – is a perfect choice…
Do or Do Not
What a great day this week. Privileged to be invited to talk to a great group of people about AI, Machine learning, and how to start the digital transformation needed to start using this all. New Tech from the business point of view. Is there another way to look at it? The audience was from […]
Detecting fake news in the age of Machine Learning
An interview with Trifork’s Halleh Khoshnevis. During the 2016 U.S presidential elections, we got confronted with a wave of fake news websites, blogs and digital accounts designed to support targeted opinions and to generate clickbait traffic. The influence of these sites on the election was covered extensively by credible news organisations with a high-level coverage. […]
Raising the bar
When your hair turns grey and you’re just happy you still have hair, friends who are younger turn to you and ask for advice. They just assume you’re wiser. That is not true, it’s more you have made more mistakes. Mistakes you can share with them so they can make new mistakes. Some of my […]
CQRS replay performance tuning
We, as experienced users and consultants for Axon, encourage developers that work with Axon Framework or are considering working with it, to read the following blog by Frans van Buul from AxonIQ. This blog explains in a clear and structured way, how to avoid the pitfalls that can happen when replaying past events after changing/adding read models. […]
Innovation done backwards
Behind my laptop at 01:30. I needed to get this written down. In all details, I possible could remember. Normally I don’t make notes, I just playback the video in my head and write down the keywords and actions. But this one was different, I was so impressed, I wanted to capture it all. And […]