argoyle
cbe66df604
Reduce CPU and memory requests from 10m to 5m and from 10Mi to 5Mi to optimize resource usage for the application deployment. This change aims to improve overall efficiency without compromising performance.
74 lines
1.5 KiB
YAML
74 lines
1.5 KiB
YAML
apiVersion: apps/v1
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kind: Deployment
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metadata:
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name: lingonpaj-site
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labels:
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app: lingonpaj-site
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annotations:
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kubernetes.io/change-cause: "${TIMESTAMP} Deployed commit id: ${COMMIT}"
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spec:
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replicas: 2
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strategy:
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type: RollingUpdate
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rollingUpdate:
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maxSurge: 1
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maxUnavailable: 1
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minReadySeconds: 30
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selector:
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matchLabels:
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app: lingonpaj-site
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template:
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metadata:
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labels:
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app: lingonpaj-site
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spec:
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affinity:
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podAntiAffinity:
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preferredDuringSchedulingIgnoredDuringExecution:
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- weight: 100
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podAffinityTerm:
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labelSelector:
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matchExpressions:
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- key: "app"
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operator: In
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values:
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- lingonpaj-site
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topologyKey: kubernetes.io/hostname
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containers:
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- name: lingonpaj-site
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readinessProbe:
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httpGet:
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path: /health
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port: 80
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initialDelaySeconds: 5
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periodSeconds: 5
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timeoutSeconds: 5
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imagePullPolicy: Always
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image: registry.gitlab.com/unboundsoftware/lingonpaj-site:${COMMIT}
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ports:
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- containerPort: 80
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resources:
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requests:
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cpu: 5m
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memory: 5Mi
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limits:
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cpu: 300m
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memory: 300Mi
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---
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apiVersion: v1
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kind: Service
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metadata:
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name: lingonpaj-site
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labels:
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app: lingonpaj-site
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spec:
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type: NodePort
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selector:
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app: lingonpaj-site
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ports:
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- port: 80
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targetPort: 80
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