Advanced Deployments
The time between software being written and tested till it is deployed in production should be as short as possible. That way your organization is able to realize value from the software changes as quickly as possible. The modern approach to this problem is, of course, through automation. There are simply too many details and configuration items that need to be changed when deploying to production that even for a small application suite like PetBattle, manual deployment becomes error-prone and tedious. This drive to reduce manual toil is at the heart of many of the DevOps practices we have been discovering in this book.
We can minimize the downtime (ideally to zero!) during software deployment changes by adopting the right application architecture and combining that with the many platform capabilities that OpenShift offers. Let's look at some common deployment strategies that OpenShift supports:
- Rolling deployment:
- Spin up a pod of the new version...
