Cet exemple implémente un tableau de bord de surveillance intégré pour plusieurs environnements dans des projets sélectionnés d'une même organisation.
En savoir plus
Pour obtenir une documentation détaillée incluant cet exemple de code, consultez les articles suivants :
- Surveillance de l'environnement inter-projets avec Terraform
- Surveillance de l'environnement inter-projets avec Terraform
- Surveillance de l'environnement inter-projets avec Terraform
Exemple de code
Terraform
Pour savoir comment appliquer ou supprimer une configuration Terraform, consultez la page Commandes Terraform de base. Pour en savoir plus, consultez la documentation de référence du fournisseur 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
}Étapes suivantes
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