Stay organized with collections
Save and categorize content based on your preferences.
To create an alerting policy, you must describe what is to be monitored,
when the condition of the alerting policy is met, and how you want to be
notified. This page contains settings that you can use to create alerting
policies. Most sections in this page have the following elements:
Title: Lists the relevant product name and a brief
description of the alerting policy.
Summary: A brief description of the alerting policy.
For full information, see the product documentation.
Steps to create an alerting policy: Outline of the steps
required to create an alerting policy.
For detailed information on these steps, see
Creating an alerting policy.
New condition: These fields specify what is being
monitored and how the data is aggregated.
Condition alert trigger: These fields specify when
the condition of an alerting policy is met. By changing the
retest window,
you can reduce how often the condition is met.
When you only want to configure a chart that displays quota data, you can use the settings in the
New condition table. Alerting conditions use different notation than charting tools.
Charting tools include Metrics Explorer and
configuring charts on custom dashboards:
New condition dialog field name
Charts
Rolling window function
Optimally configured based on selected metric and aggregation settings.
To specify the alignment function,
do the following:
In the Aggregation element, expand the first menu and select
Configure aligner. The Alignment function and
Grouping elements are added.
Expand the Alignment function element and make a selection.
Rolling window
Min Interval (to access, click addAdd query element)
Time series group by (in the Across time series section)
Aggregation element's second menu
Time series aggregation (in the Across time series section)
Aggregation element's first menu
Billing
To be notified if your billable or forecasted charges exceed a budget,
create an alert by using the Budgets and alerts page of the Google Cloud console:
In the Google Cloud console, go to the Billing page:
You can also find this page by using the search bar.
If you have more than one Cloud Billing account, then do one of the
following:
To manage Cloud Billing for the current project,
select Go to linked billing account.
To locate a different Cloud Billing account, select
Manage billing accounts and choose the account for which you'd like
to set a budget.
In the Billing navigation menu, select Budgets & alerts.
Click add_boxCreate budget.
Complete the budget dialog. In this dialog, you select Google Cloud projects
and products, and then you create a budget for that combination.
By default, you are notified when you reach 50%, 90%, and 100% of the budget.
For complete documentation, see
Set budgets and budget alerts.
BigQuery execution time
To create an alerting policy that triggers when the 99th percentile of the
execution time of a BigQuery query
exceeds a user-defined limit, use the following settings.
If you use the search bar to find this page, then select the result whose subheading is
Monitoring.
If you haven't created your notification channels and if you want to be notified, then click
Edit Notification Channels and add your notification channels. Return to the
Alerting page after you add your channels.
From the Alerting page, select Create policy.
To select the resource, metric, and filters, expand the Select a metric menu and
then use the values in the New condition table:
Optional: To limit the menu to relevant entries, enter the resource or
metric name in the filter bar.
Select a Resource type. For example, select VM instance.
Select a Metric category. For example, select instance.
Select a Metric. For example, select CPU Utilization.
Select Apply.
Click Next and then configure the alerting policy trigger.
To complete these fields, use the values in the Configure alert trigger table.
Click Next.
Optional: To add notifications to your alerting policy, click
Notification channels. In the dialog, select one or more notification
channels from the menu, and then click OK.
To be notified when incidents are openend and closed, check
Notify on incident closure. By default, notifications are sent only when
incidents are openend.
Optional: Update the Incident autoclose duration. This field determines when
Monitoring closes incidents in the absence of metric data.
Optional: Click Documentation, and then add any information that you
want included in a notification message.
Click Alert name and enter a name for the alerting policy.
Click Create Policy.
New condition Field
Value
Resource and Metric
In the Resources menu, select BigQuery Project.
In the Metric categories menu, select Query.
In the Metrics menu, select Query execution times.
Filter
Across time series
Time series group by
priority
Across time series
Time series aggregation
99th percentile
Rolling window
5 m
Rolling window function
sum
Configure alert trigger Field
Value
Condition type
Threshold
Alert trigger
Any time series violates
Threshold position
Above threshold
Threshold value
You determine this value; however, a threshold of 60 seconds is recommended.
Retest window
most recent value
BigQuery usage
To create an alerting policy that triggers when the ingested
BigQuery metrics exceed a user-defined
level, use the following settings.
If you use the search bar to find this page, then select the result whose subheading is
Monitoring.
If you haven't created your notification channels and if you want to be notified, then click
Edit Notification Channels and add your notification channels. Return to the
Alerting page after you add your channels.
From the Alerting page, select Create policy.
To select the resource, metric, and filters, expand the Select a metric menu and
then use the values in the New condition table:
Optional: To limit the menu to relevant entries, enter the resource or
metric name in the filter bar.
Select a Resource type. For example, select VM instance.
Select a Metric category. For example, select instance.
Select a Metric. For example, select CPU Utilization.
Select Apply.
Click Next and then configure the alerting policy trigger.
To complete these fields, use the values in the Configure alert trigger table.
Click Next.
Optional: To add notifications to your alerting policy, click
Notification channels. In the dialog, select one or more notification
channels from the menu, and then click OK.
To be notified when incidents are openend and closed, check
Notify on incident closure. By default, notifications are sent only when
incidents are openend.
Optional: Update the Incident autoclose duration. This field determines when
Monitoring closes incidents in the absence of metric data.
Optional: Click Documentation, and then add any information that you
want included in a notification message.
Click Alert name and enter a name for the alerting policy.
Click Create Policy.
New condition Field
Value
Resource and Metric
In the Resources menu, select BigQuery Dataset.
In the Metric categories menu, select Storage.
Select a metric from the Metrics menu. Metrics specific to usage include
Stored bytes, Uploaded bytes,
and Uploaded bytes billed. For a full list of available metrics, see
BigQuery metrics.
Filter
project_id: Your Google Cloud project ID. dataset_id: Your dataset ID.
Across time series
Time series group by
dataset_id: Your dataset ID.
Across time series
Time series aggregation
sum
Rolling window
1 m
Rolling window function
mean
Configure alert trigger Field
Value
Condition type
Threshold
Alert trigger
Any time series violates
Threshold position
Above threshold
Threshold value
You determine the acceptable value.
Retest window
1 minute
Bigtable storage utilization
To create an alerting policy that triggers when the storage utilization for your
Bigtable cluster is above a recommended threshold, such as
70%, use the following settings.
If you use the search bar to find this page, then select the result whose subheading is
Monitoring.
If you haven't created your notification channels and if you want to be notified, then click
Edit Notification Channels and add your notification channels. Return to the
Alerting page after you add your channels.
From the Alerting page, select Create policy.
To select the resource, metric, and filters, expand the Select a metric menu and
then use the values in the New condition table:
Optional: To limit the menu to relevant entries, enter the resource or
metric name in the filter bar.
Select a Resource type. For example, select VM instance.
Select a Metric category. For example, select instance.
Select a Metric. For example, select CPU Utilization.
Select Apply.
Click Next and then configure the alerting policy trigger.
To complete these fields, use the values in the Configure alert trigger table.
Click Next.
Optional: To add notifications to your alerting policy, click
Notification channels. In the dialog, select one or more notification
channels from the menu, and then click OK.
To be notified when incidents are openend and closed, check
Notify on incident closure. By default, notifications are sent only when
incidents are openend.
Optional: Update the Incident autoclose duration. This field determines when
Monitoring closes incidents in the absence of metric data.
Optional: Click Documentation, and then add any information that you
want included in a notification message.
Click Alert name and enter a name for the alerting policy.
Click Create Policy.
New condition Field
Value
Resource and Metric
In the Resources menu, select Cloud Bigtable Cluster.
In the Metric categories menu, select Cluster.
In the Metrics menu, select Storage utilization.
(The metric.type is bigtable.googleapis.com/cluster/storage_utilization).
Filter
cluster = YOUR_CLUSTER_ID
Configure alert trigger Field
Value
Condition type
Threshold
Condition triggers if
Any time series violates
Threshold position
Above threshold
Threshold value
70
Retest window
10 minutes
Compute Engine early boot validation
Early Boot Validation shows the pass/fail status of the early
boot portion of the last boot sequence. Early boot is the boot sequence
from the start of the UEFI firmware until it passes control to the
bootloader.
To create an alerting policy that triggers when the early boot sequence fails for any of your
Compute Engine VM instances, use the following settings.
If you use the search bar to find this page, then select the result whose subheading is
Monitoring.
If you haven't created your notification channels and if you want to be notified, then click
Edit Notification Channels and add your notification channels. Return to the
Alerting page after you add your channels.
From the Alerting page, select Create policy.
To select the resource, metric, and filters, expand the Select a metric menu and
then use the values in the New condition table:
Optional: To limit the menu to relevant entries, enter the resource or
metric name in the filter bar.
Select a Resource type. For example, select VM instance.
Select a Metric category. For example, select instance.
Select a Metric. For example, select CPU Utilization.
Select Apply.
Click Next and then configure the alerting policy trigger.
To complete these fields, use the values in the Configure alert trigger table.
Click Next.
Optional: To add notifications to your alerting policy, click
Notification channels. In the dialog, select one or more notification
channels from the menu, and then click OK.
To be notified when incidents are openend and closed, check
Notify on incident closure. By default, notifications are sent only when
incidents are openend.
Optional: Update the Incident autoclose duration. This field determines when
Monitoring closes incidents in the absence of metric data.
Optional: Click Documentation, and then add any information that you
want included in a notification message.
Click Alert name and enter a name for the alerting policy.
Click Create Policy.
New condition Field
Value
Resource and Metric
In the Resources menu, select VM Instance.
In the Metric categories menu, select Instance.
In the Metrics menu, select Early boot validation.
Filter
status = failed
Across time series
Time series group by
status
Across time series
Time series aggregation
sum
Rolling window
Use default.
Rolling window function
Use default
Configure alert trigger Field
Value
Condition type
Threshold
Alert trigger
Any time series violates
Threshold position
Above threshold
Threshold value
0
Retest window
1 minute
Compute Engine late boot validation
Late Boot Validation shows the pass/fail status of the late
boot portion of the last boot sequence. Late boot is the boot sequence
from the bootloader until completion. This includes the loading of the
operating system kernel.
To create an alerting policy that triggers when the late boot sequence fails for any of your
Compute Engine VM instances, use the following settings.
If you use the search bar to find this page, then select the result whose subheading is
Monitoring.
If you haven't created your notification channels and if you want to be notified, then click
Edit Notification Channels and add your notification channels. Return to the
Alerting page after you add your channels.
From the Alerting page, select Create policy.
To select the resource, metric, and filters, expand the Select a metric menu and
then use the values in the New condition table:
Optional: To limit the menu to relevant entries, enter the resource or
metric name in the filter bar.
Select a Resource type. For example, select VM instance.
Select a Metric category. For example, select instance.
Select a Metric. For example, select CPU Utilization.
Select Apply.
Click Next and then configure the alerting policy trigger.
To complete these fields, use the values in the Configure alert trigger table.
Click Next.
Optional: To add notifications to your alerting policy, click
Notification channels. In the dialog, select one or more notification
channels from the menu, and then click OK.
To be notified when incidents are openend and closed, check
Notify on incident closure. By default, notifications are sent only when
incidents are openend.
Optional: Update the Incident autoclose duration. This field determines when
Monitoring closes incidents in the absence of metric data.
Optional: Click Documentation, and then add any information that you
want included in a notification message.
Click Alert name and enter a name for the alerting policy.
Click Create Policy.
New condition Field
Value
Resource and Metric
In the Resources menu, select VM Instance.
In the Metric categories menu, select Instance.
In the Metrics menu, select Late boot validation.
Filter
status = failed
Across time series
Time series group by
status
Across time series
Time series aggregation
sum
Rolling window
Use default.
Rolling window function
Use default
Configure alert trigger Field
Value
Condition type
Threshold
Alert trigger
Any time series violates
Threshold position
Above threshold
Threshold value
0
Retest window
1 minute
Logging monthly log bytes ingested
To create an alerting policy that triggers when the number of
log bytes written to your log buckets exceeds your user-defined limit for
Cloud Logging, use the following settings.
If you use the search bar to find this page, then select the result whose subheading is
Monitoring.
If you haven't created your notification channels and if you want to be notified, then click
Edit Notification Channels and add your notification channels. Return to the
Alerting page after you add your channels.
From the Alerting page, select Create policy.
To select the resource, metric, and filters, expand the Select a metric menu and
then use the values in the New condition table:
Optional: To limit the menu to relevant entries, enter the resource or
metric name in the filter bar.
Select a Resource type. For example, select VM instance.
Select a Metric category. For example, select instance.
Select a Metric. For example, select CPU Utilization.
Select Apply.
Click Next and then configure the alerting policy trigger.
To complete these fields, use the values in the Configure alert trigger table.
Click Next.
Optional: To add notifications to your alerting policy, click
Notification channels. In the dialog, select one or more notification
channels from the menu, and then click OK.
To be notified when incidents are openend and closed, check
Notify on incident closure. By default, notifications are sent only when
incidents are openend.
Optional: Update the Incident autoclose duration. This field determines when
Monitoring closes incidents in the absence of metric data.
Optional: Click Documentation, and then add any information that you
want included in a notification message.
Click Alert name and enter a name for the alerting policy.
Click Create Policy.
New condition Field
Value
Resource and Metric
In the Resources menu, select Global.
In the Metric categories menu, select Logs-based metric.
In the Metrics menu, select Monthly log bytes ingested.
Filter
None.
Across time series
Time series aggregation
sum
Rolling window
60 m
Rolling window function
max
Configure alert trigger Field
Value
Condition type
Threshold
Alert trigger
Any time series violates
Threshold position
Above threshold
Threshold value
You determine the acceptable value.
Retest window
Minimum acceptable value is 30 minutes.
Recommendations prediction
To set up a Recommendations
prediction alert, use the following settings in the alerting policy.
If you use the search bar to find this page, then select the result whose subheading is
Monitoring.
If you haven't created your notification channels and if you want to be notified, then click
Edit Notification Channels and add your notification channels. Return to the
Alerting page after you add your channels.
From the Alerting page, select Create policy.
To select the resource, metric, and filters, expand the Select a metric menu and
then use the values in the New condition table:
Optional: To limit the menu to relevant entries, enter the resource or
metric name in the filter bar.
Select a Resource type. For example, select VM instance.
Select a Metric category. For example, select instance.
Select a Metric. For example, select CPU Utilization.
Select Apply.
Click Next and then configure the alerting policy trigger.
To complete these fields, use the values in the Configure alert trigger table.
Click Next.
Optional: To add notifications to your alerting policy, click
Notification channels. In the dialog, select one or more notification
channels from the menu, and then click OK.
To be notified when incidents are openend and closed, check
Notify on incident closure. By default, notifications are sent only when
incidents are openend.
Optional: Update the Incident autoclose duration. This field determines when
Monitoring closes incidents in the absence of metric data.
Optional: Click Documentation, and then add any information that you
want included in a notification message.
Click Alert name and enter a name for the alerting policy.
Click Create Policy.
New condition Field
Value
Resource and Metric
In the Resources menu, select Consumed API.
In the Metric categories menu, select Api.
In the Metrics menu, select Request count.
Filter
service = recommendationengine.googleapis.com
method = google.cloud.recommendationengine.v1beta1.PredictionService.Predict
response_code != 200
Across time series
Time series aggregation
sum
Rolling window
1 m
Rolling window function
sum
Configure alert trigger Field
Value
Condition type
Threshold
Alert trigger
Any time series violates
Threshold position
Above threshold
Threshold value
0
Retest window
5 minutes
Recommendations user event recording reduction
To set up a Recommendations
event recording reduction alert, use the following settings in the alerting policy.
If you use the search bar to find this page, then select the result whose subheading is
Monitoring.
If you haven't created your notification channels and if you want to be notified, then click
Edit Notification Channels and add your notification channels. Return to the
Alerting page after you add your channels.
From the Alerting page, select Create policy.
To select the resource, metric, and filters, expand the Select a metric menu and
then use the values in the New condition table:
Optional: To limit the menu to relevant entries, enter the resource or
metric name in the filter bar.
Select a Resource type. For example, select VM instance.
Select a Metric category. For example, select instance.
Select a Metric. For example, select CPU Utilization.
Select Apply.
Click Next and then configure the alerting policy trigger.
To complete these fields, use the values in the Configure alert trigger table.
Click Next.
Optional: To add notifications to your alerting policy, click
Notification channels. In the dialog, select one or more notification
channels from the menu, and then click OK.
To be notified when incidents are openend and closed, check
Notify on incident closure. By default, notifications are sent only when
incidents are openend.
Optional: Update the Incident autoclose duration. This field determines when
Monitoring closes incidents in the absence of metric data.
Optional: Click Documentation, and then add any information that you
want included in a notification message.
Click Alert name and enter a name for the alerting policy.
Click Create Policy.
New condition Field
Value
Resource and Metric
In the Resources menu, select Consumed API.
In the Metric categories menu, select Api.
In the Metrics menu, select Request count.
Filter
service = recommendationengine.googleapis.com
method = google.cloud.recommendationengine.v1beta1.PredictionService.CollectUserEvent
response_code != 200
Across time series
Time series aggregation
sum
Rolling window
1 m
Rolling window function
sum
Configure alert trigger Field
Value
Condition type
Metric absence
Alert trigger
Any time series violates
Trigger absence time
10 minutes
Spanner high priority CPU usage
To create an alerting policy that triggers when your high priority cpu utilization for
Spanner is above a recommended threshold,
use the following settings.
If you use the search bar to find this page, then select the result whose subheading is
Monitoring.
If you haven't created your notification channels and if you want to be notified, then click
Edit Notification Channels and add your notification channels. Return to the
Alerting page after you add your channels.
From the Alerting page, select Create policy.
To select the resource, metric, and filters, expand the Select a metric menu and
then use the values in the New condition table:
Optional: To limit the menu to relevant entries, enter the resource or
metric name in the filter bar.
Select a Resource type. For example, select VM instance.
Select a Metric category. For example, select instance.
Select a Metric. For example, select CPU Utilization.
Select Apply.
Click Next and then configure the alerting policy trigger.
To complete these fields, use the values in the Configure alert trigger table.
Click Next.
Optional: To add notifications to your alerting policy, click
Notification channels. In the dialog, select one or more notification
channels from the menu, and then click OK.
To be notified when incidents are openend and closed, check
Notify on incident closure. By default, notifications are sent only when
incidents are openend.
Optional: Update the Incident autoclose duration. This field determines when
Monitoring closes incidents in the absence of metric data.
Optional: Click Documentation, and then add any information that you
want included in a notification message.
Click Alert name and enter a name for the alerting policy.
Click Create Policy.
New condition Field
Value
Resource and Metric
In the Resources menu, select Spanner Instance.
In the Metric categories menu, select Instance.
In the Metrics menu, select CPU Utilization by priority.
(The metric.type is spanner.googleapis.com/instance/cpu/utilization_by_priority).
Filter
instance_id = YOUR_INSTANCE_ID priority = high
Across time series
Time series group by
location for multi-region instances;
leave it blank for regional instances.
Across time series
Time series aggregation
sum
Rolling window
10 m
Rolling window function
mean
Configure alert trigger Field
Value
Condition type
Threshold
Alert trigger
Any time series violates
Threshold position
Above threshold
Threshold value
45% for multi-region instances; 65% for regional instances.
Retest window
10 minutes
Spanner 24 hour rolling usage
To create an alerting policy that triggers when the 24 hour rolling average of your cpu
utilization for Spanner is above a recommended threshold,
use the following settings.
If you use the search bar to find this page, then select the result whose subheading is
Monitoring.
If you haven't created your notification channels and if you want to be notified, then click
Edit Notification Channels and add your notification channels. Return to the
Alerting page after you add your channels.
From the Alerting page, select Create policy.
To select the resource, metric, and filters, expand the Select a metric menu and
then use the values in the New condition table:
Optional: To limit the menu to relevant entries, enter the resource or
metric name in the filter bar.
Select a Resource type. For example, select VM instance.
Select a Metric category. For example, select instance.
Select a Metric. For example, select CPU Utilization.
Select Apply.
Click Next and then configure the alerting policy trigger.
To complete these fields, use the values in the Configure alert trigger table.
Click Next.
Optional: To add notifications to your alerting policy, click
Notification channels. In the dialog, select one or more notification
channels from the menu, and then click OK.
To be notified when incidents are openend and closed, check
Notify on incident closure. By default, notifications are sent only when
incidents are openend.
Optional: Update the Incident autoclose duration. This field determines when
Monitoring closes incidents in the absence of metric data.
Optional: Click Documentation, and then add any information that you
want included in a notification message.
Click Alert name and enter a name for the alerting policy.
Click Create Policy.
New condition Field
Value
Resource and Metric
In the Resources menu, select Spanner Instance.
In the Metric categories menu, select Instance.
In the Metrics menu, select Smoothed CPU utilization.
(The metric.type is spanner.googleapis.com/instance/cpu/smoothed_utilization).
Filter
instance_id = YOUR_INSTANCE_ID
Across time series
Time series aggregation
sum
Rolling window
10 m
Rolling window function
mean
Configure alert trigger Field
Value
Condition type
Threshold
Alert trigger
Any time series violates
Threshold position
Above threshold
Threshold
90%
Retest window
10 minutes
Spanner storage
To create an alerting policy that triggers when your storage for your
Spanner instance is above a recommended threshold,
use the following settings.
If you use the search bar to find this page, then select the result whose subheading is
Monitoring.
If you haven't created your notification channels and if you want to be notified, then click
Edit Notification Channels and add your notification channels. Return to the
Alerting page after you add your channels.
From the Alerting page, select Create policy.
To select the resource, metric, and filters, expand the Select a metric menu and
then use the values in the New condition table:
Optional: To limit the menu to relevant entries, enter the resource or
metric name in the filter bar.
Select a Resource type. For example, select VM instance.
Select a Metric category. For example, select instance.
Select a Metric. For example, select CPU Utilization.
Select Apply.
Click Next and then configure the alerting policy trigger.
To complete these fields, use the values in the Configure alert trigger table.
Click Next.
Optional: To add notifications to your alerting policy, click
Notification channels. In the dialog, select one or more notification
channels from the menu, and then click OK.
To be notified when incidents are openend and closed, check
Notify on incident closure. By default, notifications are sent only when
incidents are openend.
Optional: Update the Incident autoclose duration. This field determines when
Monitoring closes incidents in the absence of metric data.
Optional: Click Documentation, and then add any information that you
want included in a notification message.
Click Alert name and enter a name for the alerting policy.
Click Create Policy.
New condition Field
Value
Resource and Metric
In the Resources menu, select Spanner Instance.
In the Metric categories menu, select Instance.
In the Metrics menu, select Storage used.
(The metric.type is spanner.googleapis.com/instance/storage/utilization).
Filter
instance_id = YOUR_INSTANCE_ID
Across time series
Time series aggregation
sum
Rolling window
10 m
Rolling window function
max
Configure alert trigger Field
Value
Condition type
Threshold
Condition triggers if
Any time series violates
Threshold position
Above threshold
Threshold value
You don't need to set a specific threshold for the maximum storage per node. However, we recommended
that you set up an alert for when you are approaching the maximum storage limit. To learn more, see
Storage utilization metrics.
Retest window
10 minutes
Trace over quota on API usage
To create an alerting policy that triggers when your monthly
Cloud Trace spans ingested
exceeds your quota, use the following settings.
If you use the search bar to find this page, then select the result whose subheading is
Monitoring.
If you haven't created your notification channels and if you want to be notified, then click
Edit Notification Channels and add your notification channels. Return to the
Alerting page after you add your channels.
From the Alerting page, select Create policy.
To select the resource, metric, and filters, expand the Select a metric menu and
then use the values in the New condition table:
Optional: To limit the menu to relevant entries, enter the resource or
metric name in the filter bar.
Select a Resource type. For example, select VM instance.
Select a Metric category. For example, select instance.
Select a Metric. For example, select CPU Utilization.
Select Apply.
Click Next and then configure the alerting policy trigger.
To complete these fields, use the values in the Configure alert trigger table.
Click Next.
Optional: To add notifications to your alerting policy, click
Notification channels. In the dialog, select one or more notification
channels from the menu, and then click OK.
To be notified when incidents are openend and closed, check
Notify on incident closure. By default, notifications are sent only when
incidents are openend.
Optional: Update the Incident autoclose duration. This field determines when
Monitoring closes incidents in the absence of metric data.
Optional: Click Documentation, and then add any information that you
want included in a notification message.
Click Alert name and enter a name for the alerting policy.
Click Create Policy.
New condition Field
Value
Resource and Metric
In the Resources menu, select Consumed API.
In the Metric categories menu, select Api.
In the Metrics menu, select Request count.
(The metric.type is serviceruntime.googleapis.com/api/request_count).
Filter
service = cloudtrace.googleapis.com response_code = 429
Across time series
Time series aggregation
sum
Rolling window
1 m
Rolling window function
sum
Configure alert trigger Field
Value
Condition type
Threshold
Alert trigger
Any time series violates
Threshold position
Above threshold
Threshold value
0
Retest window
1 minute
Trace monitor monthly span-usage
To create an alerting policy that triggers when your monthly
Cloud Trace spans ingested
exceeds a user-defined limit, use the following settings.
If you use the search bar to find this page, then select the result whose subheading is
Monitoring.
If you haven't created your notification channels and if you want to be notified, then click
Edit Notification Channels and add your notification channels. Return to the
Alerting page after you add your channels.
From the Alerting page, select Create policy.
To select the resource, metric, and filters, expand the Select a metric menu and
then use the values in the New condition table:
Optional: To limit the menu to relevant entries, enter the resource or
metric name in the filter bar.
Select a Resource type. For example, select VM instance.
Select a Metric category. For example, select instance.
Select a Metric. For example, select CPU Utilization.
Select Apply.
Click Next and then configure the alerting policy trigger.
To complete these fields, use the values in the Configure alert trigger table.
Click Next.
Optional: To add notifications to your alerting policy, click
Notification channels. In the dialog, select one or more notification
channels from the menu, and then click OK.
To be notified when incidents are openend and closed, check
Notify on incident closure. By default, notifications are sent only when
incidents are openend.
Optional: Update the Incident autoclose duration. This field determines when
Monitoring closes incidents in the absence of metric data.
Optional: Click Documentation, and then add any information that you
want included in a notification message.
Click Alert name and enter a name for the alerting policy.
Click Create Policy.
New condition Field
Value
Resource and Metric
In the Resources menu, select Global.
In the Metric categories menu, select Billing.
In the Metrics menu, select Monthly trace spans ingested.
Filter
Across time series
Time series aggregation
sum
Rolling window
60 m
Rolling window function
max
Configure alert trigger Field
Value
Condition type
Threshold
Alert trigger
Any time series violates
Threshold position
Above threshold
Threshold value
You determine the acceptable value.
Retest window
Minimum acceptable value is 30 minutes.
Trace export errors
To create an alerting policy that triggers if there are errors
exporting Cloud Trace data to BigQuery,
use the following settings.
If you use the search bar to find this page, then select the result whose subheading is
Monitoring.
If you haven't created your notification channels and if you want to be notified, then click
Edit Notification Channels and add your notification channels. Return to the
Alerting page after you add your channels.
From the Alerting page, select Create policy.
To select the resource, metric, and filters, expand the Select a metric menu and
then use the values in the New condition table:
Optional: To limit the menu to relevant entries, enter the resource or
metric name in the filter bar.
Select a Resource type. For example, select VM instance.
Select a Metric category. For example, select instance.
Select a Metric. For example, select CPU Utilization.
Select Apply.
Click Next and then configure the alerting policy trigger.
To complete these fields, use the values in the Configure alert trigger table.
Click Next.
Optional: To add notifications to your alerting policy, click
Notification channels. In the dialog, select one or more notification
channels from the menu, and then click OK.
To be notified when incidents are openend and closed, check
Notify on incident closure. By default, notifications are sent only when
incidents are openend.
Optional: Update the Incident autoclose duration. This field determines when
Monitoring closes incidents in the absence of metric data.
Optional: Click Documentation, and then add any information that you
want included in a notification message.
Click Alert name and enter a name for the alerting policy.
Click Create Policy.
New condition Field
Value
Resource and Metric
In the Resources menu, select Cloud Trace.
In the Metric categories menu, select Bigquery_export.
In the Metrics menu, select Spans Exported to BigQuert.
Filter
status != ok
Across time series
Time series group by
status
Across time series
Time series aggregation
sum
Rolling window
1 m
Rolling window function
rate
Configure alert trigger Field
Value
Condition type
Threshold
Alert trigger
Any time series violates
Threshold position
Above threshold
Threshold value
0
Retest window
1 minute
Uptime check monitoring
To create an alerting policy for an uptime check, or to create a chart that
displays the success or latency status of an uptime check, see
Alerting on uptime checks.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-10-30 UTC."],[],[]]
