Web Architecture, Java Ecosystem, Software Craftsmanship

Version Numbers for Continuous Delivery with Maven and Docker

Posted on Jul 11, 2016

Version Numbers for Continuous Delivery with Maven and Docker

Dealing with version numbers is an important challenge on the way to Continuous Delivery. The classical versioning approach (“8.2.0”) and release workflow is inappropriate, because it can’t be automated properly. This post shows how we can leverage the Git commit hash to get rid of manual workflows and automate the Continuous Delivery pipeline. At the end, every build will produce an artifact which is potentially shippable. We’ll implement this solution with Maven and Docker.

Don’t Share Libraries among Microservices

Posted on Apr 17, 2016

Don’t Share Libraries among Microservices

Extracting common code to a library seems to be developer’s best practice. Reuse boosts the development, doesn’t it? However, in a microservice architecture shared libraries tightly couples microservices together. You lose a huge benefit of microservices: independence. In this post I like to point out why shared libraries are not a good idea and present alternatives.

Testing RESTful Services in Java: Best Practices

Posted on Mar 29, 2016

Testing RESTful Services in Java: Best Practices

Testing RESTful Web Services can be cumbersome because you have to deal with low-level concerns which can make your tests verbose, hard to read and to maintain. Fortunately, there are libraries and best practices helping you to keep your integration tests concise, clean, decoupled and maintainable. This post covers those best practices.

'MongoDB for Java Developers' (M101J) I: Experiences and Assessment

Posted on Feb 21, 2016

'MongoDB for Java Developers' (M101J) I: Experiences and Assessment

I attended the course “MongoDB for Java  Developer” (M101J). It was fun and I learned a lot about MongoDB. I like to share my gained knowledge and experience in a two-part series. In this first part I assess the course and state, whether or not the course is worth the time.

Don’t generate (everything). Or: Framework beats Generator

Posted on Jan 7, 2016

Don’t generate (everything). Or: Framework beats Generator

When we apply Model-Driven Software Development (MDSD) we write a generator which produces code out of a model. The promise is that among others, we can reduce the boilerplate code and accelerate the development. However, MDSD is not a cure-all and should be applied with sound judgment. In this post I cover some drawbacks of the generator approach, anti-patterns and present an alternative to generators: frameworks.

Analyzing the Memory Usage of a Vaadin Application

Posted on Dec 17, 2015

Analyzing the Memory Usage of a Vaadin Application

Does your Vaadin application scale well? As Vaadin holds the UI state of every user on the server-side, the used server memory increases with every active user. So can our Vaadin application deal with an increased amount of users in terms of the used memory? We will find out! In this post I present tools and approaches to investigate the memory footprint of our Vaadin application.

Databases as a Challenge for Continuous Delivery

Posted on Nov 28, 2015

Databases as a Challenge for Continuous Delivery

Applying Continuous Delivery means to automate the delivery pipeline and to release frequently.  However, databases are a big challenge, because with every deployment we may need to update and migrate our database before we can deploy our application. This post points out solutions for dealing with databases in a Continuous Delivery scenario.

Tutorial: Continuous Delivery with Docker and Jenkins

Posted on Nov 7, 2015

Tutorial: Continuous Delivery with Docker and Jenkins

Introducing Continuous Delivery means to automate the delivery process and to release our application frequently. This way, we improve the reliability of the release process, reduce the risk and get feedback faster. However, setting up a Continuous Delivery pipeline can be difficult in the beginning. In this step by step tutorial I will show you how to configure a simple Continuous Delivery pipeline using Git, Docker, Maven and Jenkins.

Discussing Docker. Pros and Cons.

Posted on Oct 25, 2015

Discussing Docker. Pros and Cons.

Docker allows us to easily create reproducible environments for our application. We automate the setup of the environment and eliminate manual error-prone tasks. This way we reduce the risks and the reliability of the deployment process. But there are also challenges and domains, where the usage of Docker can be difficult. This post discusses several advantages of Docker and points out some drawbacks.