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Kubernetes deployment strategies

Коротко о том какие в k8s есть стратегии деплоя с примерами:

https://github.com/ContainerSolutions/k8s-deployment-strategies

tl;dr:
* recreate: terminate the old version and release the new one
* ramped: release a new version on a rolling update fashion, one after the other
* blue/green: release a new version alongside the old version then switch traffic
* canary: release a new version to a subset of users, then proceed to a full rollout
* a/b testing: release a new version to a subset of users in a precise way (HTTP headers, cookie, weight, etc.). This doesn’t come out of the box with Kubernetes, it imply extra work to setup a smarter loadbalancing system (Istio, Linkerd, Traeffik, custom nginx/haproxy, etc).
* shadow: release a new version alongside the old version. Incoming traffic is mirrored to the new version and doesn't impact the response.



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Kubernetes deployment strategies

Коротко о том какие в k8s есть стратегии деплоя с примерами:

https://github.com/ContainerSolutions/k8s-deployment-strategies

tl;dr:
* recreate: terminate the old version and release the new one
* ramped: release a new version on a rolling update fashion, one after the other
* blue/green: release a new version alongside the old version then switch traffic
* canary: release a new version to a subset of users, then proceed to a full rollout
* a/b testing: release a new version to a subset of users in a precise way (HTTP headers, cookie, weight, etc.). This doesn’t come out of the box with Kubernetes, it imply extra work to setup a smarter loadbalancing system (Istio, Linkerd, Traeffik, custom nginx/haproxy, etc).
* shadow: release a new version alongside the old version. Incoming traffic is mirrored to the new version and doesn't impact the response.

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