2 years ago at DOES14, I presented “Vision Versus Execution: Implementing Continuous Delivery”. I shared how we achieved a big Continuous Delivery win – increasing software test coverage and delivery velocity and efficiency.
Since then, we have been busy scaling DevOps, Continuous Delivery and Lean principles across teams and practices throughout Urban Science. This rollout included both a cultural aspect, as well as an implementation of a centralized, shared, self-service automation solution for our teams – enabling them to “opt-in” to an automated pipeline.
In this talk I will present anecdotes and learnings gathered through our experience over the past two years and discuss the challenges and the value of scaling DevOps across the organization.
Due to time, I will not cover the technologies we used. I will be happy to discuss it individually afterwards.
Urban Science is essentially a big data company/Global retail performance expert. Our goal is to identify and solve the toughest business challenges of this massive industry. We work with manufacturers to help them understand how people are buying, servicing their vehicles, and using their cars.
Basically, if there is any kind of statistic around the automotive industry, Urban Science is tracking and interpreting it. You can imagine the infrastructure and software updates required to support such an operation — with its demanding customers, high stakes business, and massive amount of data being collected from all over the world and analyzed 24/7
While we originated in the automotive industry, we are expanding into other industries including healthcare.
One story about why these reasons matter and how they need to improve.
We chose to use ElectricFlow as our devops platform, but obviously you can use any tools set you choose. ElectricFlow allows us to automate and orchestrate our entire end to end pipeline- from code-check in all the way to Release. It allows us to plug in all our point tools, processes, tests, environments and so on, so that we can gain control and visibility into the entire delivery pipeline.
Anticipating 3000+ annual resource hours saved
Small team supporting the entire company. Basically we are eating our own dogfood.