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https://issues.apache.org/jira/browse/FLINK-29199?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17760707#comment-17760707
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Matt Wang commented on FLINK-29199:
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[~nfraison.datadog] I think [double data output] requires corresponding
processing by the job and is not a more general solution. In our internal
practice, we will strictly ensure that at any time, only one job is running in
a Region, because we believe that job double-running will have a relatively
great impact on the business, and the downstream of the job all need to deal
with duplicate data. However, we have also encountered some scenarios that
require the ability to release in grayscale. We are currently exploring the
ability to roll upgrading new versions of jobs at Region granularity.
> Support blue-green deployment type
> ----------------------------------
>
> Key: FLINK-29199
> URL: https://issues.apache.org/jira/browse/FLINK-29199
> Project: Flink
> Issue Type: New Feature
> Components: Kubernetes Operator
> Environment: Kubernetes
> Reporter: Oleg Vorobev
> Priority: Minor
>
> Are there any plans to support blue-green deployment/rollout mode similar to
> *BlueGreen* in the
> [flinkk8soperator|https://github.com/lyft/flinkk8soperator] to avoid downtime
> while updating?
> The idea is to run a new version in parallel with an old one and remove the
> old one only after the stability condition of the new one is satisfied (like
> in
> [rollbacks|https://nightlies.apache.org/flink/flink-kubernetes-operator-docs-release-1.1/docs/custom-resource/job-management/#application-upgrade-rollbacks-experimental]).
> For stateful apps with {*}upgradeMode: savepoint{*}, this means: not
> cancelling an old job after creating a savepoint -> starting new job from
> that savepoint -> waiting for it to become running/one successful
> checkpoint/timeout or something else -> cancelling and removing old job.
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