For any non-trivial business of reasonable size this will unfortunately include quite a lot of steps and activities. The end-to-end process of developing and releasing software is often long and cumbersome, it involves many people, http://texac.kz/index.php?option=com_content&view=article&id=32&Itemid=329 departments and obstacles which can make the effort needed to implement Continuous Delivery seem overwhelming. These are questions that inevitably will come up when you start looking at implementing Continuous Delivery.
After evaluating your organization according to the model you need to set the goals and identify which practices will give your organization the best outcomes. If there are practices you do not want to adopt you need to analyse the consequences of excluding them. It is also important to decide on an implementation strategy, you can e.g. start small using slack in the existing process to improve one thing at a time. However, from our experience you will have a better chance of a successful implementation if you jump start the journey with a dedicated project with a clear mandate and aggressive goals on e.g. reducing cycle time. Advanced CD implementations have almost completely automated code’s journey from integration testing through various stages of test deployments onto production systems.
My analysis of modern DevOps evolution into Platform Engineering. Just a new trend or a revolution in the IT industry?
Reporting at this stage would typically include static analysis of code and quality reports which might be scheduled so that the latest reports are always accessible to facilitate decisions on quality and where improvements are needed. At a base level you will have a code base that is version controlled and scripted builds are run regularly on a dedicated build server. The deployment process is manual or semi-manual with some parts scripted and rudimentarily documented in some way. A typical organization will have one or more legacy systems of monolithic nature in terms of development, build and release. Many organizations at the base maturity level will have a diversified technology stack but have started to consolidate the choice of technology and platform, this is important to get best value from the effort spent on automation. Investing time and money into moving up the DevOps maturity model is also highly beneficial.
However, it is important to remember that DevOps implementation is a continuous journey and organizations should constantly strive to improve their processes, tools and culture to stay ahead of the competition. By embracing a DevOps mindset and using the DevOps Maturity Model as a guide, organizations can achieve success in today’s fast-paced digital world. DevOps isn’t a destination, it’s a journey towards a frequent and more reliable release pipeline, automation and stronger collaboration between development, IT and business teams.
Exploring the DevOps Maturity Model
Can you push this change again”
“Hey, I merged my changes were merged in the morning. I still don’t see them in production yet”
“Argh, the static files are not updated. We have to run deployment again”
These voices hollared across the hallway and this was followed by a huddle to sort things out. The key to getting out of this stage is to focus more on automation and consistency.
