Projektübergreifendes Umgebungsmonitoring

In diesem Beispiel wird ein integriertes Monitoring-Dashboard für mehrere Umgebungen in ausgewählten Projekten in derselben Organisation implementiert.

Weitere Informationen

Eine ausführliche Dokumentation, die dieses Codebeispiel enthält, finden Sie hier:

Codebeispiel

Terraform

Informationen zum Anwenden oder Entfernen einer Terraform-Konfiguration finden Sie unter Grundlegende Terraform-Befehle. Weitere Informationen finden Sie in der Anbieterreferenzdokumentation zu Terraform.

#   Monitoring for multiple Cloud Composer environments
#
#   Usage:
#       1. Create a new project that you will use for monitoring of Cloud Composer environments in other projects
#       2. Replace YOUR_MONITORING_PROJECT with the name of this project in the "metrics_scope" parameter that is part of the "Add Monitored Projects to the Monitoring project" section
#       3. Replace the list of projects to monitor with your list of projects with Cloud Composer environments to be monitored in the "for_each" parameter of the "Add Monitored Projects to the Monitoring project" section
#       4. Set up your environment and apply the configuration following these steps: https://cloud.google.com/docs/terraform/basic-commands. Your GOOGLE_CLOUD_PROJECT environment variable should be the new monitoring project you just created.
#
#   The script creates the following resources in the monitoring project:
#           1. Adds monitored projects to Cloud Monitoring
#           2. Creates Alert Policies
#           3. Creates Monitoring Dashboard
#



#######################################################
#
# Add Monitored Projects to the Monitoring project
#
########################################################

resource "google_monitoring_monitored_project" "projects_monitored" {
  for_each      = toset(["YOUR_PROJECT_TO_MONITOR_1", "YOUR_PROJECT_TO_MONITOR_2", "YOUR_PROJECT_TO_MONITOR_3"])
  metrics_scope = join("", ["locations/global/metricsScopes/", "YOUR_MONITORING_PROJECT"])
  name          = each.value
}


#######################################################
#
# Create alert policies in Monitoring project
#
########################################################

resource "google_monitoring_alert_policy" "environment_health" {
  display_name = "Environment Health"
  combiner     = "OR"
  conditions {
    display_name = "Environment Health"
    condition_monitoring_query_language {
      query = join("", [
        "fetch cloud_composer_environment",
        "| {metric 'composer.googleapis.com/environment/dagbag_size'",
        "| group_by 5m, [value_dagbag_size_mean: if(mean(value.dagbag_size) > 0, 1, 0)]",
        "| align mean_aligner(5m)",
        "| group_by [resource.project_id, resource.environment_name],    [value_dagbag_size_mean_aggregate: aggregate(value_dagbag_size_mean)];  ",
        "metric 'composer.googleapis.com/environment/healthy'",
        "| group_by 5m,    [value_sum_signals: aggregate(if(value.healthy,1,0))]",
        "| align mean_aligner(5m)| absent_for 5m }",
        "| outer_join 0",
        "| group_by [resource.project_id, resource.environment_name]",
        "| value val(2)",
        "| align mean_aligner(5m)",
        "| window(5m)",
        "| condition val(0) < 0.9"
      ])
      duration = "120s"
      trigger {
        count = "1"
      }
    }
  }

  # uncomment to set an auto close strategy for the alert
  #alert_strategy {
  #    auto_close = "30m"
  #}
}

resource "google_monitoring_alert_policy" "database_health" {
  display_name = "Database Health"
  combiner     = "OR"
  conditions {
    display_name = "Database Health"
    condition_monitoring_query_language {
      query = join("", [
        "fetch cloud_composer_environment",
        "| metric 'composer.googleapis.com/environment/database_health'",
        "| group_by 5m,",
        "    [value_database_health_fraction_true: fraction_true(value.database_health)]",
        "| every 5m",
        "| group_by 5m,",
        "    [value_database_health_fraction_true_aggregate:",
        "       aggregate(value_database_health_fraction_true)]",
        "| every 5m",
        "| group_by [resource.project_id, resource.environment_name],",
        "    [value_database_health_fraction_true_aggregate_aggregate:",
        "       aggregate(value_database_health_fraction_true_aggregate)]",
      "| condition val() < 0.95"])
      duration = "120s"
      trigger {
        count = "1"
      }
    }
  }
  # uncomment to set an auto close strategy for the alert
  #alert_strategy {
  #    auto_close = "30m"
  #}
}

resource "google_monitoring_alert_policy" "webserver_health" {
  display_name = "Web Server Health"
  combiner     = "OR"
  conditions {
    display_name = "Web Server Health"
    condition_monitoring_query_language {
      query = join("", [
        "fetch cloud_composer_environment",
        "| metric 'composer.googleapis.com/environment/web_server/health'",
        "| group_by 5m, [value_health_fraction_true: fraction_true(value.health)]",
        "| every 5m",
        "| group_by 5m,",
        "    [value_health_fraction_true_aggregate:",
        "       aggregate(value_health_fraction_true)]",
        "| every 5m",
        "| group_by [resource.project_id, resource.environment_name],",
        "    [value_health_fraction_true_aggregate_aggregate:",
        "       aggregate(value_health_fraction_true_aggregate)]",
      "| condition val() < 0.95"])
      duration = "120s"
      trigger {
        count = "1"
      }
    }
  }

  # uncomment to set an auto close strategy for the alert
  #alert_strategy {
  #    auto_close = "30m"
  #}
}

resource "google_monitoring_alert_policy" "scheduler_heartbeat" {
  display_name = "Scheduler Heartbeat"
  combiner     = "OR"
  conditions {
    display_name = "Scheduler Heartbeat"
    condition_monitoring_query_language {
      query = join("", [
        "fetch cloud_composer_environment",
        "| metric 'composer.googleapis.com/environment/scheduler_heartbeat_count'",
        "| group_by 10m,",
        "    [value_scheduler_heartbeat_count_aggregate:",
        "      aggregate(value.scheduler_heartbeat_count)]",
        "| every 10m",
        "| group_by 10m,",
        "    [value_scheduler_heartbeat_count_aggregate_mean:",
        "       mean(value_scheduler_heartbeat_count_aggregate)]",
        "| every 10m",
        "| group_by [resource.project_id, resource.environment_name],",
        "    [value_scheduler_heartbeat_count_aggregate_mean_aggregate:",
        "       aggregate(value_scheduler_heartbeat_count_aggregate_mean)]",
      "| condition val() < 80"])
      duration = "120s"
      trigger {
        count = "1"
      }
    }
  }

  # uncomment to set an auto close strategy for the alert
  #alert_strategy {
  #    auto_close = "30m"
  #}
}

resource "google_monitoring_alert_policy" "database_cpu" {
  display_name = "Database CPU"
  combiner     = "OR"
  conditions {
    display_name = "Database CPU"
    condition_monitoring_query_language {
      query = join("", [
        "fetch cloud_composer_environment",
        "| metric 'composer.googleapis.com/environment/database/cpu/utilization'",
        "| group_by 10m, [value_utilization_mean: mean(value.utilization)]",
        "| every 10m",
        "| group_by [resource.project_id, resource.environment_name]",
      "| condition val() > 0.8"])
      duration = "120s"
      trigger {
        count = "1"
      }
    }
  }

  # uncomment to set an auto close strategy for the alert
  #alert_strategy {
  #    auto_close = "30m"
  #}
}

resource "google_monitoring_alert_policy" "scheduler_cpu" {
  display_name = "Scheduler CPU"
  combiner     = "OR"
  conditions {
    display_name = "Scheduler CPU"
    condition_monitoring_query_language {
      query = join("", [
        "fetch k8s_container",
        "| metric 'kubernetes.io/container/cpu/limit_utilization'",
        "| filter (resource.pod_name =~ 'airflow-scheduler-.*')",
        "| group_by 10m, [value_limit_utilization_mean: mean(value.limit_utilization)]",
        "| every 10m",
        "| group_by [resource.cluster_name],",
        "    [value_limit_utilization_mean_mean: mean(value_limit_utilization_mean)]",
      "| condition val() > 0.8"])
      duration = "120s"
      trigger {
        count = "1"
      }
    }
  }

  # uncomment to set an auto close strategy for the alert
  #alert_strategy {
  #    auto_close = "30m"
  #}
}

resource "google_monitoring_alert_policy" "worker_cpu" {
  display_name = "Worker CPU"
  combiner     = "OR"
  conditions {
    display_name = "Worker CPU"
    condition_monitoring_query_language {
      query = join("", [
        "fetch k8s_container",
        "| metric 'kubernetes.io/container/cpu/limit_utilization'",
        "| filter (resource.pod_name =~ 'airflow-worker.*')",
        "| group_by 10m, [value_limit_utilization_mean: mean(value.limit_utilization)]",
        "| every 10m",
        "| group_by [resource.cluster_name],",
        "    [value_limit_utilization_mean_mean: mean(value_limit_utilization_mean)]",
      "| condition val() > 0.8"])
      duration = "120s"
      trigger {
        count = "1"
      }
    }
  }

  # uncomment to set an auto close strategy for the alert
  #alert_strategy {
  #    auto_close = "30m"
  #}
}

resource "google_monitoring_alert_policy" "webserver_cpu" {
  display_name = "Web Server CPU"
  combiner     = "OR"
  conditions {
    display_name = "Web Server CPU"
    condition_monitoring_query_language {
      query = join("", [
        "fetch k8s_container",
        "| metric 'kubernetes.io/container/cpu/limit_utilization'",
        "| filter (resource.pod_name =~ 'airflow-webserver.*')",
        "| group_by 10m, [value_limit_utilization_mean: mean(value.limit_utilization)]",
        "| every 10m",
        "| group_by [resource.cluster_name],",
        "    [value_limit_utilization_mean_mean: mean(value_limit_utilization_mean)]",
      "| condition val() > 0.8"])
      duration = "120s"
      trigger {
        count = "1"
      }
    }
  }

  # uncomment to set an auto close strategy for the alert
  #alert_strategy {
  #    auto_close = "30m"
  #}
}

resource "google_monitoring_alert_policy" "parsing_time" {
  display_name = "DAG Parsing Time"
  combiner     = "OR"
  conditions {
    display_name = "DAG Parsing Time"
    condition_monitoring_query_language {
      query = join("", [
        "fetch cloud_composer_environment",
        "| metric 'composer.googleapis.com/environment/dag_processing/total_parse_time'",
        "| group_by 5m, [value_total_parse_time_mean: mean(value.total_parse_time)]",
        "| every 5m",
        "| group_by [resource.project_id, resource.environment_name]",
      "| condition val(0) > cast_units(30,\"s\")"])
      duration = "120s"
      trigger {
        count = "1"
      }
    }
  }
  # uncomment to set an auto close strategy for the alert
  #alert_strategy {
  #    auto_close = "30m"
  #}
}

resource "google_monitoring_alert_policy" "database_memory" {
  display_name = "Database Memory"
  combiner     = "OR"
  conditions {
    display_name = "Database Memory"
    condition_monitoring_query_language {
      query = join("", [
        "fetch cloud_composer_environment",
        "| metric 'composer.googleapis.com/environment/database/memory/utilization'",
        "| group_by 10m, [value_utilization_mean: mean(value.utilization)]",
        "| every 10m",
        "| group_by [resource.project_id, resource.environment_name]",
      "| condition val() > 0.8"])
      duration = "0s"
      trigger {
        count = "1"
      }
    }
  }
  # uncomment to set an auto close strategy for the alert
  #alert_strategy {
  #    auto_close = "30m"
  #}
}

resource "google_monitoring_alert_policy" "scheduler_memory" {
  display_name = "Scheduler Memory"
  combiner     = "OR"
  conditions {
    display_name = "Scheduler Memory"
    condition_monitoring_query_language {
      query = join("", [
        "fetch k8s_container",
        "| metric 'kubernetes.io/container/memory/limit_utilization'",
        "| filter (resource.pod_name =~ 'airflow-scheduler-.*')",
        "| group_by 10m, [value_limit_utilization_mean: mean(value.limit_utilization)]",
        "| every 10m",
        "| group_by [resource.cluster_name],",
        "    [value_limit_utilization_mean_mean: mean(value_limit_utilization_mean)]",
      "| condition val() > 0.8"])
      duration = "0s"
      trigger {
        count = "1"
      }
    }
  }
  documentation {
    content = join("", [
      "Scheduler Memory exceeds a threshold, summed across all schedulers in the environment. ",
    "Add more schedulers OR increase scheduler's memory OR reduce scheduling load (e.g. through lower parsing frequency or lower number of DAGs/tasks running"])
  }
  # uncomment to set an auto close strategy for the alert
  #alert_strategy {
  #    auto_close = "30m"
  #}
}

resource "google_monitoring_alert_policy" "worker_memory" {
  display_name = "Worker Memory"
  combiner     = "OR"
  conditions {
    display_name = "Worker Memory"
    condition_monitoring_query_language {
      query = join("", [
        "fetch k8s_container",
        "| metric 'kubernetes.io/container/memory/limit_utilization'",
        "| filter (resource.pod_name =~ 'airflow-worker.*')",
        "| group_by 10m, [value_limit_utilization_mean: mean(value.limit_utilization)]",
        "| every 10m",
        "| group_by [resource.cluster_name],",
        "    [value_limit_utilization_mean_mean: mean(value_limit_utilization_mean)]",
      "| condition val() > 0.8"])
      duration = "0s"
      trigger {
        count = "1"
      }
    }
  }
  # uncomment to set an auto close strategy for the alert
  #alert_strategy {
  #    auto_close = "30m"
  #}
}

resource "google_monitoring_alert_policy" "webserver_memory" {
  display_name = "Web Server Memory"
  combiner     = "OR"
  conditions {
    display_name = "Web Server Memory"
    condition_monitoring_query_language {
      query = join("", [
        "fetch k8s_container",
        "| metric 'kubernetes.io/container/memory/limit_utilization'",
        "| filter (resource.pod_name =~ 'airflow-webserver.*')",
        "| group_by 10m, [value_limit_utilization_mean: mean(value.limit_utilization)]",
        "| every 10m",
        "| group_by [resource.cluster_name],",
        "    [value_limit_utilization_mean_mean: mean(value_limit_utilization_mean)]",
      "| condition val() > 0.8"])
      duration = "0s"
      trigger {
        count = "1"
      }
    }
  }
  # uncomment to set an auto close strategy for the alert
  #alert_strategy {
  #    auto_close = "30m"
  #}
}

resource "google_monitoring_alert_policy" "scheduled_tasks_percentage" {
  display_name = "Scheduled Tasks Percentage"
  combiner     = "OR"
  conditions {
    display_name = "Scheduled Tasks Percentage"
    condition_monitoring_query_language {
      query = join("", [
        "fetch cloud_composer_environment",
        "| metric 'composer.googleapis.com/environment/unfinished_task_instances'",
        "| align mean_aligner(10m)",
        "| every(10m)",
        "| window(10m)",
        "| filter_ratio_by [resource.project_id, resource.environment_name], metric.state = 'scheduled'",
      "| condition val() > 0.80"])
      duration = "300s"
      trigger {
        count = "1"
      }
    }
  }
  # uncomment to set an auto close strategy for the alert
  #alert_strategy {
  #    auto_close = "30m"
  #}
}

resource "google_monitoring_alert_policy" "queued_tasks_percentage" {
  display_name = "Queued Tasks Percentage"
  combiner     = "OR"
  conditions {
    display_name = "Queued Tasks Percentage"
    condition_monitoring_query_language {
      query = join("", [
        "fetch cloud_composer_environment",
        "| metric 'composer.googleapis.com/environment/unfinished_task_instances'",
        "| align mean_aligner(10m)",
        "| every(10m)",
        "| window(10m)",
        "| filter_ratio_by [resource.project_id, resource.environment_name], metric.state = 'queued'",
        "| group_by [resource.project_id, resource.environment_name]",
      "| condition val() > 0.95"])
      duration = "300s"
      trigger {
        count = "1"
      }
    }
  }
  # uncomment to set an auto close strategy for the alert
  #alert_strategy {
  #    auto_close = "30m"
  #}
}

resource "google_monitoring_alert_policy" "queued_or_scheduled_tasks_percentage" {
  display_name = "Queued or Scheduled Tasks Percentage"
  combiner     = "OR"
  conditions {
    display_name = "Queued or Scheduled Tasks Percentage"
    condition_monitoring_query_language {
      query = join("", [
        "fetch cloud_composer_environment",
        "| metric 'composer.googleapis.com/environment/unfinished_task_instances'",
        "| align mean_aligner(10m)",
        "| every(10m)",
        "| window(10m)",
        "| filter_ratio_by [resource.project_id, resource.environment_name], or(metric.state = 'queued', metric.state = 'scheduled' )",
        "| group_by [resource.project_id, resource.environment_name]",
      "| condition val() > 0.80"])
      duration = "120s"
      trigger {
        count = "1"
      }
    }
  }
  # uncomment to set an auto close strategy for the alert
  #alert_strategy {
  #    auto_close = "30m"
  #}
}


resource "google_monitoring_alert_policy" "workers_above_minimum" {
  display_name = "Workers above minimum (negative = missing workers)"
  combiner     = "OR"
  conditions {
    display_name = "Workers above minimum"
    condition_monitoring_query_language {
      query = join("", [
        "fetch cloud_composer_environment",
        "| { metric 'composer.googleapis.com/environment/num_celery_workers'",
        "| group_by 5m, [value_num_celery_workers_mean: mean(value.num_celery_workers)]",
        "| every 5m",
        "; metric 'composer.googleapis.com/environment/worker/min_workers'",
        "| group_by 5m, [value_min_workers_mean: mean(value.min_workers)]",
        "| every 5m }",
        "| outer_join 0",
        "| sub",
        "| group_by [resource.project_id, resource.environment_name]",
      "| condition val() < 0"])
      duration = "0s"
      trigger {
        count = "1"
      }
    }
  }
  # uncomment to set an auto close strategy for the alert
  #alert_strategy {
  #    auto_close = "30m"
  #}
}

resource "google_monitoring_alert_policy" "pod_evictions" {
  display_name = "Worker pod evictions"
  combiner     = "OR"
  conditions {
    display_name = "Worker pod evictions"
    condition_monitoring_query_language {
      query = join("", [
        "fetch cloud_composer_environment",
        "| metric 'composer.googleapis.com/environment/worker/pod_eviction_count'",
        "| align delta(1m)",
        "| every 1m",
        "| group_by [resource.project_id, resource.environment_name]",
      "| condition val() > 0"])
      duration = "60s"
      trigger {
        count = "1"
      }
    }
  }
  # uncomment to set an auto close strategy for the alert
  #alert_strategy {
  #    auto_close = "30m"
  #}
}

resource "google_monitoring_alert_policy" "scheduler_errors" {
  display_name = "Scheduler Errors"
  combiner     = "OR"
  conditions {
    display_name = "Scheduler Errors"
    condition_monitoring_query_language {
      query = join("", [
        "fetch cloud_composer_environment",
        "| metric 'logging.googleapis.com/log_entry_count'",
        "| filter (metric.log == 'airflow-scheduler' && metric.severity == 'ERROR')",
        "| group_by 5m,",
        "    [value_log_entry_count_aggregate: aggregate(value.log_entry_count)]",
        "| every 5m",
        "| group_by [resource.project_id, resource.environment_name],",
        "    [value_log_entry_count_aggregate_max: max(value_log_entry_count_aggregate)]",
      "| condition val() > 50"])
      duration = "300s"
      trigger {
        count = "1"
      }
    }
  }
  # uncomment to set an auto close strategy for the alert
  #alert_strategy {
  #    auto_close = "30m"
  #}
}

resource "google_monitoring_alert_policy" "worker_errors" {
  display_name = "Worker Errors"
  combiner     = "OR"
  conditions {
    display_name = "Worker Errors"
    condition_monitoring_query_language {
      query = join("", [
        "fetch cloud_composer_environment",
        "| metric 'logging.googleapis.com/log_entry_count'",
        "| filter (metric.log == 'airflow-worker' && metric.severity == 'ERROR')",
        "| group_by 5m,",
        "    [value_log_entry_count_aggregate: aggregate(value.log_entry_count)]",
        "| every 5m",
        "| group_by [resource.project_id, resource.environment_name],",
        "    [value_log_entry_count_aggregate_max: max(value_log_entry_count_aggregate)]",
      "| condition val() > 50"])
      duration = "300s"
      trigger {
        count = "1"
      }
    }
  }
  # uncomment to set an auto close strategy for the alert
  #alert_strategy {
  #    auto_close = "30m"
  #}
}

resource "google_monitoring_alert_policy" "webserver_errors" {
  display_name = "Web Server Errors"
  combiner     = "OR"
  conditions {
    display_name = "Web Server Errors"
    condition_monitoring_query_language {
      query = join("", [
        "fetch cloud_composer_environment",
        "| metric 'logging.googleapis.com/log_entry_count'",
        "| filter (metric.log == 'airflow-webserver' && metric.severity == 'ERROR')",
        "| group_by 5m,",
        "    [value_log_entry_count_aggregate: aggregate(value.log_entry_count)]",
        "| every 5m",
        "| group_by [resource.project_id, resource.environment_name],",
        "    [value_log_entry_count_aggregate_max: max(value_log_entry_count_aggregate)]",
      "| condition val() > 50"])
      duration = "300s"
      trigger {
        count = "1"
      }
    }
  }
  # uncomment to set an auto close strategy for the alert
  #alert_strategy {
  #    auto_close = "30m"
  #}
}

resource "google_monitoring_alert_policy" "other_errors" {
  display_name = "Other Errors"
  combiner     = "OR"
  conditions {
    display_name = "Other Errors"
    condition_monitoring_query_language {
      query = join("", [
        "fetch cloud_composer_environment",
        "| metric 'logging.googleapis.com/log_entry_count'",
        "| filter",
        "    (metric.log !~ 'airflow-scheduler|airflow-worker|airflow-webserver'",
        "     && metric.severity == 'ERROR')",
        "| group_by 5m, [value_log_entry_count_max: max(value.log_entry_count)]",
        "| every 5m",
        "| group_by [resource.project_id, resource.environment_name],",
        "    [value_log_entry_count_max_aggregate: aggregate(value_log_entry_count_max)]",
      "| condition val() > 10"])
      duration = "300s"
      trigger {
        count = "1"
      }
    }
  }
  # uncomment to set an auto close strategy for the alert
  #alert_strategy {
  #    auto_close = "30m"
  #}
}


#######################################################
#
# Create Monitoring Dashboard
#
########################################################


resource "google_monitoring_dashboard" "Composer_Dashboard" {
  dashboard_json = <<EOF
{
  "category": "CUSTOM",
  "displayName": "Cloud Composer - Monitoring Platform",
  "mosaicLayout": {
    "columns": 12,
    "tiles": [
      {
        "height": 1,
        "widget": {
          "text": {
            "content": "",
            "format": "MARKDOWN"
          },
          "title": "Health"
        },
        "width": 12,
        "xPos": 0,
        "yPos": 0
      },
      {
        "height": 4,
        "widget": {
          "alertChart": {
            "name": "${google_monitoring_alert_policy.environment_health.name}"
          }
        },
        "width": 6,
        "xPos": 0,
        "yPos": 1
      },
      {
        "height": 4,
        "widget": {
          "alertChart": {
            "name": "${google_monitoring_alert_policy.database_health.name}"
          }
        },
        "width": 6,
        "xPos": 6,
        "yPos": 1
      },
      {
        "height": 4,
        "widget": {
          "alertChart": {
            "name": "${google_monitoring_alert_policy.webserver_health.name}"
          }
        },
        "width": 6,
        "xPos": 0,
        "yPos": 5
      },
      {
        "height": 4,
        "widget": {
          "alertChart": {
            "name": "${google_monitoring_alert_policy.scheduler_heartbeat.name}"
          }
        },
        "width": 6,
        "xPos": 6,
        "yPos": 5
      },
      {
        "height": 1,
        "widget": {
          "text": {
            "content": "",
            "format": "RAW"
          },
          "title": "Airflow Task Execution and DAG Parsing"
        },
        "width": 12,
        "xPos": 0,
        "yPos": 9
      },
      {
        "height": 4,
        "widget": {
          "alertChart": {
            "name": "${google_monitoring_alert_policy.scheduled_tasks_percentage.name}"
          }
        },
        "width": 6,
        "xPos": 0,
        "yPos": 10
      },
      {
        "height": 4,
        "widget": {
          "alertChart": {
            "name": "${google_monitoring_alert_policy.queued_tasks_percentage.name}"
          }
        },
        "width": 6,
        "xPos": 6,
        "yPos": 10
      },
      {
        "height": 4,
        "widget": {
          "alertChart": {
            "name": "${google_monitoring_alert_policy.queued_or_scheduled_tasks_percentage.name}"
          }
        },
        "width": 6,
        "xPos": 0,
        "yPos": 14
      },
      {
        "height": 4,
        "widget": {
          "alertChart": {
            "name": "${google_monitoring_alert_policy.parsing_time.name}"
          }
        },
        "width": 6,
        "xPos": 6,
        "yPos": 14
      },
      {
        "height": 1,
        "widget": {
          "text": {
            "content": "",
            "format": "RAW"
          },
          "title": "Workers presence"
        },
        "width": 12,
        "xPos": 0,
        "yPos": 18
      },
      {
        "height": 4,
        "widget": {
          "alertChart": {
            "name": "${google_monitoring_alert_policy.workers_above_minimum.name}"
          }
        },
        "width": 6,
        "xPos": 0,
        "yPos": 19
      },
      {
        "height": 4,
        "widget": {
          "alertChart": {
            "name": "${google_monitoring_alert_policy.pod_evictions.name}"
          }
        },
        "width": 6,
        "xPos": 6,
        "yPos": 19
      },
      {
        "height": 1,
        "widget": {
          "text": {
            "content": "",
            "format": "RAW"
          },
          "title": "CPU Utilization"
        },
        "width": 12,
        "xPos": 0,
        "yPos": 23
      },
      {
        "height": 4,
        "widget": {
          "alertChart": {
            "name": "${google_monitoring_alert_policy.database_cpu.name}"
          }
        },
        "width": 6,
        "xPos": 0,
        "yPos": 24
      },
      {
        "height": 4,
        "widget": {
          "alertChart": {
            "name": "${google_monitoring_alert_policy.scheduler_cpu.name}"
          }
        },
        "width": 6,
        "xPos": 6,
        "yPos": 24
      },
      {
        "height": 4,
        "widget": {
          "alertChart": {
            "name": "${google_monitoring_alert_policy.worker_cpu.name}"
          }
        },
        "width": 6,
        "xPos": 0,
        "yPos": 28
      },
      {
        "height": 4,
        "widget": {
          "alertChart": {
            "name": "${google_monitoring_alert_policy.webserver_cpu.name}"
          }
        },
        "width": 6,
        "xPos": 6,
        "yPos": 28
      },

      {
        "height": 1,
        "widget": {
          "text": {
            "content": "",
            "format": "RAW"
          },
          "title": "Memory Utilization"
        },
        "width": 12,
        "xPos": 0,
        "yPos": 32
      },
      {
        "height": 4,
        "widget": {
          "alertChart": {
            "name": "${google_monitoring_alert_policy.database_memory.name}"
          }
        },
        "width": 6,
        "xPos": 0,
        "yPos": 33
      },
      {
        "height": 4,
        "widget": {
          "alertChart": {
            "name": "${google_monitoring_alert_policy.scheduler_memory.name}"
          }
        },
        "width": 6,
        "xPos": 6,
        "yPos": 33
      },
      {
        "height": 4,
        "widget": {
          "alertChart": {
            "name": "${google_monitoring_alert_policy.worker_memory.name}"
          }
        },
        "width": 6,
        "xPos": 0,
        "yPos": 37
      },
      {
        "height": 4,
        "widget": {
          "alertChart": {
            "name": "${google_monitoring_alert_policy.webserver_memory.name}"
          }
        },
        "width": 6,
        "xPos": 6,
        "yPos": 37
      },
      {
        "height": 1,
        "widget": {
          "text": {
            "content": "",
            "format": "RAW"
          },
          "title": "Airflow component errors"
        },
        "width": 12,
        "xPos": 0,
        "yPos": 41
      },
      {
        "height": 4,
        "widget": {
          "alertChart": {
            "name": "${google_monitoring_alert_policy.scheduler_errors.name}"
          }
        },
        "width": 6,
        "xPos": 0,
        "yPos": 42
      },
      {
        "height": 4,
        "widget": {
          "alertChart": {
            "name": "${google_monitoring_alert_policy.worker_errors.name}"
          }
        },
        "width": 6,
        "xPos": 6,
        "yPos": 42
      },
            {
        "height": 4,
        "widget": {
          "alertChart": {
            "name": "${google_monitoring_alert_policy.webserver_errors.name}"
          }
        },
        "width": 6,
        "xPos": 0,
        "yPos": 48
      },
      {
        "height": 4,
        "widget": {
          "alertChart": {
            "name": "${google_monitoring_alert_policy.other_errors.name}"
          }
        },
        "width": 6,
        "xPos": 6,
        "yPos": 48
      },
      {
        "height": 1,
        "widget": {
          "text": {
            "content": "",
            "format": "RAW"
          },
          "title": "Task errors"
        },
        "width": 12,
        "xPos": 0,
        "yPos": 52
      }
    ]
  }
}
EOF
}

Nächste Schritte

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