A few months have passed since the last Phing development update, so it’s about time to discuss some of the recent changes.
Recently I was asked for books and other literature recommendations on the subjects Continuous Delivery / Deployment, DevOps and Microservices. Here are some of the books, articles and talks I think are worth consuming.
Below are the slides of my talk “The road to continuous deployment: a case study”, as presented at PHPCon Poland in October 2016.
It’s a situation many of us are familiar with: a large legacy application, limited or no tests, slow & manual release process, low velocity, no confidence…. Oh, and management wants new features, fast.
But how to proceed? Using examples and lessons learned from a real-world case, I’ll show you how to strangle the legacy application with a modern service architecture and build a continuous deployment pipeline to deliver value from the first sprint. On the way, we take a look at testing strategies and various (possibly controversial!) tips and best practices.
“Don’t use branches”. Three words that are guaranteed to trigger reactions when I utter them during my continuous deployment talks. Three words that make for interesting discussions. This post contains some of the arguments I use during those discussions. Read more
In this post I want to talk a little about concurrency in the context of CQRS and event sourcing. Specifically, when a single aggregate is concurrently accessed by two commands (or command handlers, really). Read more
Requirements and applications evolve and change, leading to refactoring. For example, user registration now requires a first and last name, what was once an error may no longer be considered one, etc. In an event sourced application, that poses a few problems. In this post I’ll discuss a few strategies and my views on event versioning.
In that project we had some concurrency issues. One of those issues was that two events were applied on a single aggregate with an identical sequence number. The JGroupsConnector in Axon uses a consistent hashing algorithm to route commands. This ensures that commands with the same routing key will be sent to the same member, regardless of the sending member of that message. Within the project we used the aggregate identifier as the routing key, ensuring that commands for a single aggregate are processed in a single JVM, thus preventing duplicate sequence numbers.
To demonstrate such a setup, I’ve created a simple demo application, based on the latest version of Axon Framework (3.0-M3). Using Docker Compose, the application is launched twice (in two containers). The containers should then form a JGroups cluster, and handle a number of commands. Go check it out on GitHub!
I’m writing this post to contribute my take on the acronym CD, and the distinction (or perhaps, confusion) between the phrases Continuous Delivery and Continuous Deployment. These phrases are used interchangeably, and sometimes incorrectly, in various books, blogs and talks. And while these software engineering approaches (or disciplines) share a lot, there is one key difference.