[ https://issues.jboss.org/browse/ISPN-6875?page=com.atlassian.jira.plugin.... ]
Pedro Zapata updated ISPN-6875:
-------------------------------
Priority: Minor (was: Major)
> Implement data affinity using Kubernetes Downwards API
> ------------------------------------------------------
>
> Key: ISPN-6875
> URL: https://issues.jboss.org/browse/ISPN-6875
> Project: Infinispan
> Issue Type: Feature Request
> Components: Cloud Integrations
> Reporter: Sebastian Łaskawiec
> Priority: Minor
>
> In order to ensure proper data placement across the Kubernetes cluster we should use machine ID. In Kubernetes this can be obtained using [Downward API|https://github.com/kubernetes/kubernetes/tree/release-1.0/docs/user-g...]
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[ https://issues.jboss.org/browse/ISPN-6489?page=com.atlassian.jira.plugin.... ]
Pedro Zapata updated ISPN-6489:
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Priority: Optional (was: Major)
> Create (or adjust) autoscaling policies in Openshift
> ----------------------------------------------------
>
> Key: ISPN-6489
> URL: https://issues.jboss.org/browse/ISPN-6489
> Project: Infinispan
> Issue Type: Feature Request
> Components: Cloud Integrations
> Reporter: Sebastian Łaskawiec
> Assignee: Sebastian Łaskawiec
> Priority: Optional
>
> During the conference [Ray|https://twitter.com/saturnism] mentioned that it would be really nice to have Openshift autoscaling policies for Infinispan based on:
> * number of entries (and/or)
> * memory usage
> Some examples might be found in his repos
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[ https://issues.jboss.org/browse/ISPN-6697?page=com.atlassian.jira.plugin.... ]
Pedro Zapata updated ISPN-6697:
-------------------------------
Priority: Optional (was: Major)
> Integration with Amazon CloudWatch
> ----------------------------------
>
> Key: ISPN-6697
> URL: https://issues.jboss.org/browse/ISPN-6697
> Project: Infinispan
> Issue Type: Feature Request
> Components: Cloud Integrations
> Reporter: Gustavo Fernandes
> Priority: Optional
>
> Provide (optional) integration to send custom metrics (e.g. number of entries) to the Amazon Cloud Watch service, to aid on implementation of custom auto scaling policies and monitoring.
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