Wow, that was a busy and inspiring week! In one week, I’ve visited two conferences in two different countries to give talks on two different subjects. But the most inspiring part came from attending other sessions. I’ll highlight one session from both conferences. JBCNConf 2017 On JBCNConf, I’ve attented a session by Burr Sutter about Vert.x. This was a session full of energy, as Burr is really capable of making your enthusiastic of whatever he is talking on.
A few years ago, I had an assignment at my former client involving Elasticsearch, Logstash and Kibana to build an operational dashboard. It was fun to do and very instructive; afterwards, I wrote an article about my experiences and spoke at various conferences. Recently, I was asked by another team in my company to assist them in setting it up for their team. A good chance to catch up with some old friends, and see how they have changed over the years.
Sometimes you have a piece of logging that is very important, maybe even part of a business requirement. In that case, you might want to verify that in a unit test, so you can rest assured that this requirement is actually met. How to do that? Mock it away A first approach might be to just mock your logging framework in a unit test and verify it was called as you expected.
As a closing keynote on the second day of Jfokus, Jonas Bonér took the stage under the very clarifying title “Blah blah Microservices blah blah”, which turned out to mean “From microliths to microsystems”. As a first observation, he stated that no-one really likes microservices. They are kind of a necessary evil - because “doing” microservices comes at a cost. In fact, microservices are just a specialisation of an older concept called distributed systems.
The second day of Jfokus is just as action-packed as the first one. However, part of the action is me giving two talks. Both of them scheduled today, so a little less time for attending other sessions and blogging about them. I did attend some other sessions after lunch time, on which I’ll report below. Introduction to Machine Learning Directly after the lunch, James Ward gave an introduction to machine learning.
Inspired by a Jfokus session I attended today I decided to download and install a preview of Java 9 on my MacBook. That went pretty quick and without much trouble. But when I issued java -version on my terminal, I was greeted with Java(TM) SE Runtime Environment (build 9-ea+155) Java HotSpot(TM) 64-Bit Server VM (build 9-ea+155, mixed mode) Although that’s nice - you’d even expect it, maybe - I realised I often need Java 8 as well.
These days, I’m in Stockholm, attending and speaking at the Jfokus conference. Yesterday night was a great opportunity to get to know a few other speakers during dinner. We were even surprised by an act of the Lemon Squeezy barbershop quartet singing for us - very beautiful! But today, the serious stuff started. In the following sections, I have written down my notes and observations of each of the sessions I attended.
Recently, I was asked to write a blog about a side project I did. That question reminded me of the blog I used to have… long time ago. I stopped blogging due to changes in my personal situation, which led to a priority shift. Being a father to two beautiful daughters sure takes a lot of time! But I missed the possibility to share some notes, thoughts, ideas and the like.
When using third-party components (be it open source or not), we all know it’s a good practice to keep your frameworks and libraries up to date. This is also one of the spearhead in the OWASP Top 10 (2013 edition): A9 - Using Components with Known Vulnerabilities. To help you assess your projects status with regard to this, OWASP.org developed the tool Dependency Check. This tool is primarily intended code bases in Java, .NET, Ruby, Node.js, and Python. Integration with various build tools is also provided for.