The Continuous Delivery of Data
Continuous Delivery is easy in some circumstances. If you are writing a stateless, maybe even serverless, microservice it is pretty simple really. Most systems need state though. What do we do about state? How do we work to keep our systems "releasable all the time" when we have data, sometimes LOTS of data?
This talk describes some of the useful, practical, techniques that you can apply to implement Continuous Delivery for
data as well as for code.
Continuous Delivery on YouTube
Dave Farley has created numerous videos on CD, DevOps, TDD, and Software Engineering, that are available to view for FREE at https://bit.ly/CDonYT
CD.Training
Dave Farley’s courses are available on-line to study at your own pace, and learn about Continuous Delivery, Deployment Pipelines, Automated Testing and more. Take a look at: https://bit.ly/DFTraining
Mailing List
Join Dave Farley’s Mail List for regular updates and discussions, FREE "How To..." guides, discounts on training courses and other special offers here: https://www.subscribepage.com/cd-assess-guide
New members get a free guide about “How to Assess Your CD Capability”
Lernziele
This talk is about some of the techniques that will allow you to manage and modify the design of your data once you get into production. The aim is to give you some ideas, based on practical experience, for a few techniques that can help.