Comments (4)
if we fail when Kore isn't installed, we're essentially saying you can't deploy Azure Functions to Kubernetes via the cli without Kore.. we need to give people the choice of whether or not they want extra components to go along with Azure Functions.
I expect many people who are just getting started with Azure Functions for testing/dev/evaluation purposes wouldn't need Kore from the get go.
Regarding the helmless installation - I agree, I don't like it either. Helm 3 should come out without tiller, meaning only a client side Helm component.
We can always take the route of simply putting everything in a single .yaml file and calling kubectl apply
on it.
from keda.
I think the func deploy command should focus on creating the appropriate ScaledObject resources - the installation of Kore is a seperate concern and should be assumed that Kore is installed.
The func deploy command will first check to see if Kore is running. If not, it will issue a log message saying it's skipping autoscale creation.
from keda.
I'm ok with that - but would likely prefer it fails outright if it doesn't see Kore running. And it would be nice if I didn't have to go as far as installing helm on my cluster to get Kore installed. But that's likely not a big deal as I expect most people with something in Kubernetes will reasonably have a helm client / tiller already setup.
from keda.
I think most of the points here are covered. See https://github.com/Azure/Kore/wiki/Using-core-tools-with-Kore-and-Osiris for details.
from keda.
Related Issues (20)
- Getting " no matches for kind "TriggerAuthentication" in version "keda.k8s.io/v1alpha1" ensure CRDs are installed first" while spplying scaledobject for Keda HOT 1
- leaderelection.go:320] error retrieving resource lock keda/operator.keda.sh: invalid character ', after object key HOT 3
- minReplicaCount not applied on a trigger type: cron
- GCP Stackdriver scaler doesn't work with centralized metrics scope project HOT 2
- Refactor Scalers with new declarative scaler config HOT 3
- After completing a task, the Pod consistently enters the CrashLoopBackOff state repeatedly with the same Pod. HOT 1
- Upgrade KEDA to use Debian 12 Distroless
- Add support for Cassandra TLS auth
- desiredReplicas ignored in scaledObject with trigger cron HOT 4
- Scaler not being properly closed HOT 1
- Add Scaler that Read Metrics From Current Custom Metrics Adapter HOT 3
- Keda operator pod restarts because of objectScaler HOT 5
- cron-scaler scales higher than expected HOT 2
- Continuous HPA updates with CPU Utilization trigger HOT 1
- Add support for access token authentication to an Azure Postgres Flexible Server - Postgres scaler
- Service bus scaler whith workload-identity (override) HOT 3
- Unable to scale with AmbiguousSelector message when there are multiple HPA HOT 1
- Unable to Use Behavior Field with KEDA ScaledObject HOT 1
- Support for Kubernetes v1.30 HOT 1
- ScaledObject for RabbitMQ with Quorum Queues Not Scaling
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from keda.