PreScale/prescale-agent.yaml.example at main · pyjeebz/PreScale · GitHub

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# Prescale Agent Configuration
# Unified metrics collection from any monitoring backend

# Prescale API endpoint
endpoint:
  url: http://localhost:8080
  api_key: ${PRESCALE_API_KEY}  # Or set via environment
  timeout: 30
  retry_attempts: 3

# Metrics sources - add any combination of backends
sources:
  # Local system metrics (always available)
  #- name: local-system
   # type: system
    #enabled: true
    #interval: 15
    #options:
      #collect_cpu: true
      #collect_memory: true
      #collect_disk: true
      #collect_network: true

  # Prometheus (if you have a Prometheus server)
  # - name: prometheus
  #   type: prometheus
  #   enabled: false
  #   endpoint: http://prometheus:9090
  #   interval: 15
  #   queries:
  #     - 'sum(rate(container_cpu_usage_seconds_total{container!=""}[5m])) by (namespace, pod)'
  #     - 'sum(container_memory_usage_bytes{container!=""}) by (namespace, pod)'

  # Datadog (requires API key)
  # - name: datadog
  #   type: datadog
  #   enabled: false
  #   api_key: ${DATADOG_API_KEY}
  #   credentials:
  #     app_key: ${DATADOG_APP_KEY}
  #   options:
  #     site: us1  # us1, us3, us5, eu1, ap1
  #   metrics:
  #     - system.cpu.user
  #     - system.mem.used

  # AWS CloudWatch (requires AWS credentials)
  # - name: cloudwatch
  #   type: cloudwatch
  #   enabled: false
  #   credentials:
  #     aws_access_key_id: ${AWS_ACCESS_KEY_ID}
  #     aws_secret_access_key: ${AWS_SECRET_ACCESS_KEY}
  #     region: us-east-1
  #   metrics:
  #     - AWS/EC2/CPUUtilization
  #     - AWS/RDS/DatabaseConnections

  # Azure Monitor (requires service principal)
  # - name: azure-monitor
  #   type: azure_monitor
  #   enabled: false
  #   credentials:
  #     tenant_id: ${AZURE_TENANT_ID}
  #     client_id: ${AZURE_CLIENT_ID}
  #     client_secret: ${AZURE_CLIENT_SECRET}
  #     subscription_id: ${AZURE_SUBSCRIPTION_ID}

  # Google Cloud Monitoring (requires service account)
  - name: gcp-monitoring
    type: gcp_monitoring
    enabled: true
    credentials:
      project_id: ${GCP_PROJECT_ID}  # Set via environment variable
      # Uses ADC (Application Default Credentials) - no file needed if gcloud auth is set
    interval: 30
    metrics:
      # GKE container metrics (gauges work best)
      - kubernetes.io/container/cpu/limit_utilization
      - kubernetes.io/container/memory/limit_utilization
      - kubernetes.io/container/memory/used_bytes
      # GKE node metrics
      - kubernetes.io/node/cpu/allocatable_utilization
      - kubernetes.io/node/memory/allocatable_utilization

# Agent settings
batch_size: 100
flush_interval: 10
log_level: INFO