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skaffold.yaml
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# NOTE: Only edit skaffold.yaml.tmpl (the rest is generated)
---
apiVersion: skaffold/v3
kind: SkaffoldConfig
build:
local:
push: false
useBuildkit: true
tagPolicy:
gitCommit: {}
platforms: ["linux/amd64"]
artifacts:
- image: splunk-ai-operator
platforms:
- linux/amd64
context: .
docker:
dockerfile: Dockerfile
hooks:
after:
- command: [ "sh", "-c", "./prehook.sh"]
dir: tools
os: [ darwin, linux]
before:
- command: [ "sh", "-c", "./cleanup.sh"]
dir: tools
os: [ darwin, linux]
deploy:
kubectl:
#defaultNamespace: splunk-operator
flags:
apply:
- --server-side
manifests:
kustomize:
paths:
- config/default
#test:
# - image: splunk/splunk-operator
# #structureTests:
# # - tests
# custom:
# - command: test/run-tests.sh
# timeoutSeconds: 1000
profiles:
# Example profile for Google Kubernetes Engine
# Uncomment and update with your cluster context
# - name: gke
# activation:
# - kubeContext: gke_<project>_<region>_<cluster-name>
# build:
# local:
# push: true
# platforms:
# - linux/amd64
# Example profile for Amazon EKS
# - name: eks
# activation:
# - kubeContext: arn:aws:eks:<region>:<account>:cluster/<cluster-name>
# build:
# local:
# push: true
# platforms:
# - linux/amd64
# Example profile for Azure AKS
# - name: aks
# activation:
# - kubeContext: <cluster-name>
# build:
# local:
# push: true
# platforms:
# - linux/amd64
portForward:
- resourceType: deployment
resourceName: controller-manager
port: 9443
localPort: 9443
namespace: system
- resourceType: deployment
resourceName: cm
port: 8089
localPort: 8089
namespace: ingestion
- resourceType: deployment
resourceName: standalone
port: 8089
localPort: 8089
namespace: ingestion