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Server deployment

info

The example here is for deploying kubesense in a 16vCPU & 32Gi memory node
with node taint as app: kubesense
with node label as app: kubesense

Custom Values​

create a values-file named kubesense-values.yaml with the following content

global:
  deploymentType: "server"
  cluster_name: example-prod
  dashboardHostName: example.kubesense.ai
  nodeAffinityLabelSelector:
    - matchExpressions:
      - key: app
        operator: In
        values: kubesense
  tolerations:
    - key: "app"
      operator: "Equal"
      value: "kubesense"
      effect: "NoSchedule"
  ignoreLogsNamespace:  # ignoring logs on any particular namespace
    - "monitoring"
    - "default"
  ignoreTracesNamespace:  # ignoring traces on any particular namespace
    - "default"
    - "kube-system"

aggregator:
  resources:
    limits:
      cpu: 2000m
      memory: 4096Mi
    requests:
      cpu: 1500m
      memory: 2048Mi

kubecol:
  resources:
    limits:
      cpu: 2000m
      memory: 6144Mi
    requests:
      cpu: 1500m
      memory: 4096Mi

datastore:
  resources:
    limits:
      cpu: 8000m
      memory: 16384Mi
    requests:
      cpu: 6000m
      memory: 12288Mi

kubecoldb:
  resources:
    limits:
      cpu: 1000m
      memory: 2048Mi
    requests:
      cpu: 750m
      memory: 1024Mi

metrics-store:
  server:
    retentionPeriod: 30d # retentionPeriod for metrics
  resources:
    limits:
      cpu: 1000m
      memory: 1024Mi
    requests:
      cpu: 750m
      memory: 768Mi

metrics-scrapper:
  resources:
    limits:
      cpu: 1000m
      memory: 1024Mi
    requests:
      cpu: 750m
      memory: 768Mi

Commands​

Adding kubesense Helm repository to the host​

helm repo add kubesense https://helm.kubesense.ai
helm repo update kubesense

Helm installation/upgrade Command​

helm upgrade -i kubesense kubesense/kubesense-server -n kubesense --create-namespace -n kubesense -f kubesense-values.yaml