Comments (3)
Do you mean that Kore has to be in the same namespace as the deployment for custom metrics to work?
I was thinking of the following scenarios:
- I want to deploy kore to manage ALL ScaledObjects in all namespaces
- I want kore to only manage the namespace it's deployed in.
- I want to deploy kore to manage 1 or more namespaces
For example I could be:
- an operator (or a dev with a cluster) and just want all my users to be able to deploy functions.
- a user for a cluster. The cluster operator created a namespace for me and I have full permissions just on that namespace.
- An operator with a very large cluster, and I want to partition my cluster to 2 or more kore instances.
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We should be pursuing option 1, IMHO
from keda.
This appears to work fine today. I always deploy keda in it's own namespace and my functions in default and everything is happy
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Related Issues (20)
- Failed to create HTTPScaledObject, stuck in 'PendingCreation' state HOT 1
- Document which (observability) metrics are initialized and which not HOT 3
- MongoDB Scalers open many open connections HOT 5
- Keda GCP PubSub Triggering Unnecessary ScaledJobs After Ack HOT 1
- GitLab Runner Scaler HOT 1
- New Relic Scaler causes panic when query returns no results HOT 2
- ScaledObject downscales deployment to 0 replicas outside specified timeframe in cron trigger
- Increase operator resiliency to unexpected scaler failures HOT 1
- Introduce authentication CRD that is not scoped to just triggers
- Colocating metrics provider along with the operator causes HPA delays if not configured properly HOT 9
- Reconciler crashes with ScaledObject postgres trigger and Vault for authenticationRef HOT 2
- Scalers for Azure Function Apps running under AKS are not really supported - although the documentation make it seem like they HOT 1
- Trying to integrate with Azure Managed Prometheus but getting Unauthorised issue HOT 5
- Enhance Security and Self-Service by Allowing Service Account Specification in Target Namespace for Workload Identity HOT 2
- Missing parameters 'rate' and 'count' for GCP Stackdriver Scaler alignment HOT 1
- Extend search scope of kubernetes workload scaler to all namespaces HOT 6
- KEDA Operator Not Exposing kube_horizontalpodautoscaler_status_current_replicas Metric HOT 2
- Restart of keda-operator causes ScaledJob object to be updated HOT 1
- Keep hpa active when one of triggers failed HOT 4
- Keda 2.13.1 Sysdig scan Vulnerabilities CVE-2024-27304 CVE-2024-24786 CVE-2024-28110 CVE-2024-28180 HOT 4
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