CB Dragonfly Server Configuration Cortado

• CB-Dragonfly config.yaml 파일 설정

  #### Config for cb-dragonfly ####
  # influxdb connection info
  influxdb:
    endpoint_url: http://cb-dragonfly-influxdb           # endpoint for influxDB
    external_port: 28086                                 # Usage Port when DF Run-time environment(monitoring.deploy_type) is "dev"
    database: {{ database_name }}
    user_name: {{ user_name }}
    password: {{ password }}
    rpDuration: 4w                                       # retention Policy for DB (h, d, w), min: 1h max: 0s
  
  kapacitor:
    endpoint_url: cb-dragonfly-kapacitor                 # endpoint to kapacitor
    helm_port: 29092                                     # Usage Port when DF Run-time environment(monitoring.deploy_type) is "dev"
  
  kafka:
    endpoint_url: cb-dragonfly-kafka
    helm_port: 32000
  
  # collect manager configuration info
  dragonfly:
    dragonfly_ip: 127.0.0.1                             # Cloud-Barista를 설치 및 실행하는 VM/물리머신의 Public IP 주소를 기재
    port: 9090
    helm_port: 30090
    helm_namespace: "cloud-barista"
  
  agent:
    mck8s_serviceaccount: cb-dragonfly
    mck8s_namespace: cb-dragonfly
    image: "cloudbaristaorg/cb-dragonfly:agent-1.15.4"
    timeout: 60
  
  # monitoring interval configuration info
  monitoring:
    mcis_agent_interval: 2                            # mcis agent interval (s)
    mck8s_agent_interval: 30                          # mck8s agent interval (s)
    mcis_collector_interval: 10                       # mcis aggregate interval (s)
    mck8s_collector_interval: 60                      # mck8s aggregate interval (s)
    max_host_count:  5                                # maximum host count per collector
    monitoring_policy: "agentCount"                   # "agentCount" => The number of agent, "csp" => csp group
    default_policy: "push"                            # push, pull
    puller_interval: 10
    puller_aggregate_interval: 30
    aggregate_type: "avg"                             # min, max, avg, last
    deploy_type: "compose"                            # deploy environment => 1. docker-compose: "compose" 2. docker-compose-dev: "dev" 3. k8s: "helm"