In 2016 and 2017, I gave a series of talks titled “The Road to Continuous Deployment: a Case Study”, detailing some of the work I did in 2015 together with the team at De Persgroep Employment Solutions. At DPES, we significantly improved time to market, quality and delivery speed by implementing Continuous Delivery. In the talk I explain how the process took us to multiple production releases per day and how we significantly changed and improved our way of working. This blog post reviews a (short) version of that talk, as given during the first online All Day DevOps conference, in 2016.
Recently, I was asked on Twitter if I could give some pointers for reading material on (production) CI/CD pipelines – what they look like, and how they work. I decided to shed some light on this by describing a typical CI/CD pipeline (from my perspective), in a series of tweets. This article is an expansion of that thread.
The 2017 version of Puppet’s State of DevOps Report was just released.
To me, the most interesting takeaways from the report are:
- High performing teams have 46x more frequent deploys, 96x faster mean time to recover/repair and a 5x lower change failure rate.
- They also automate significantly more work (automation is a key ingredient of any successful DevOps strategy).
- A lower change failure rate and significant automation mean these teams spend 44% more time on new work (and 26% less time on unplanned work and rework).
- Developers in high performing teams generally work in small batches and practice Trunk Based Development. Low performing teams on the other hand use long-lived feature branches and merge infrequently to trunk or master (read on for my thoughts about feature branches).
In this post I’ll discuss my experiences with the strangler pattern and how it can be applied when rewriting a large, legacy code base.
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.