Dev: Popular Deployment Strategies
"Big Bang" Deployment
- All major pieces packaged in one deployment;
- Largely or completely replacing an existing software version with a new one;
- Deployment usually resulting in long development and testing cycles;
- Assuming a minimal chance of failure as rollbacks may be impossible or impractical;
- Completion times are usually long and can take multiple teams’ efforts;
- Requiring action from clients to update the client-side installation.
Rolling Deployment
An application’s new version gradually replaces the old one. The actual deployment happens over a period of time. During that time, new and old versions will coexist without affecting functionality or user experience.
Progressive exposure deployment
The progressive exposure targets to a specific group of users for each of the rings.
Blue-Green, Red-Black or A/B Deployment
One is the currently-running production environment receiving all user traffic (depicted as Blue). The other is a clone of it, but idle (Green). Both use the same database back-end and app configuration:
The new version of the application is deployed in the green environment and tested for functionality and performance. Once the testing results are successful, application traffic is routed from blue to green. Green then becomes the new production.
Canary deployment is like blue-green, except it’s more risk-averse. Instead of switching from blue to green in one step, you use a phased approach.
With canary deployment, you deploy a new application code in a small part of the production infrastructure. Once the application is signed off for release, only a few users are routed to it. This minimizes any impact.
Read more:
https://dev.to/mostlyjason/intro-to-deployment-strategies-blue-green-canary-and-more-3a3 https://cache404.net/understanding-azure-devops-deployment-patterns/
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