Settings for common alerting policies

To create an alerting policy, you must describe what is to be monitored, when the alerting policy is triggered, and how you want to be notified. This page contains settings that you can use to create alerting policies. Each section in this page has 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.
• Target pane fields: These fields specify what is being monitored and how the data is aggregated. If you are using the Google Cloud Console, these are the fields in the Target pane of the Add Condition dialog.
• Configuration fields: These fields specify when the alerting policy triggers. If you are using the Google Cloud Console, these are the fields in the Configuration pane of the Add Condition dialog.

You can use the settings in the target pane table when creating a chart or when using Metrics Explorer.

BigQuery execution time

To create an alerting policy that triggers when the 50th percentile of the execution time of a BigQuery query exceeds a user-defined limit, use the following settings:

Steps to create an alerting policy.

To create an alerting policy, do the following:

1. In the Google Cloud Console, go to Monitoring or use the following button:
   Go to Monitoring
2. In the Monitoring navigation pane, select Alerting and then select Create Policy.
3. Enter a name for the alerting policy.
4. Click Add Condition:
   
   1. Complete the Target and Configuration sections using the settings in the following tables.
   2. Click Add.
5. (Optional) Repeat the previous step to monitor another resource.
6. (Optional) Click Add Notification Channel and enter your notification channel information.
7. (Optional) Click Documentation and add any information that you want included in a notification message.
8. Click Save.

Target pane Field	Value
Resource type	Global
Metric	Query execution time
Filter
Aggregator	none
Advanced Aggregation	Aligner: 50th percentile Alignment Period: 1 m

Conditions pane Field	Value
Condition triggers if	Any time series violates
Condition	is above
Threshold	You determine the acceptable value. For this metric, consider a threshold that is about double the average value for the 50th percentile.
For	1 minute

BigQuery usage

To create an alerting policy that triggers when the ingested BigQuery metrics exceed a user-defined level, do the following:

Steps to create an alerting policy.

To create an alerting policy, do the following:

1. In the Google Cloud Console, go to Monitoring or use the following button:
   Go to Monitoring
2. In the Monitoring navigation pane, select Alerting and then select Create Policy.
3. Enter a name for the alerting policy.
4. Click Add Condition:
   
   1. Complete the Target and Configuration sections using the settings in the following tables.
   2. Click Add.
5. (Optional) Repeat the previous step to monitor another resource.
6. (Optional) Click Add Notification Channel and enter your notification channel information.
7. (Optional) Click Documentation and add any information that you want included in a notification message.
8. Click Save.

Target pane Field	Value
Resource type	Enter BigQuery Dataset
Metric	Metrics specific to usage include Stored bytes, Uploaded bytes, and Uploaded bytes billed. However, this in only a partial list. For a full list of available metrics, see BigQuery metrics.
Filter	project_id: Your Google Cloud project ID. dataset_id: Your dataset ID.
Group By	dataset_id: Your dataset ID.
Aggregator	sum
Advanced Aggregation	Aligner: mean Alignment Period: 1 m

Conditions pane Field	Value
Condition triggers if	Any time series violates
Condition	is above
Threshold	You determine the acceptable value.
For	1 minute

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:

Steps to create an alerting policy.

To create an alerting policy, do the following:

1. In the Google Cloud Console, go to Monitoring or use the following button:
   Go to Monitoring
2. In the Monitoring navigation pane, select Alerting and then select Create Policy.
3. Enter a name for the alerting policy.
4. Click Add Condition:
   
   1. Complete the Target and Configuration sections using the settings in the following tables.
   2. Click Add.
5. (Optional) Repeat the previous step to monitor another resource.
6. (Optional) Click Add Notification Channel and enter your notification channel information.
7. (Optional) Click Documentation and add any information that you want included in a notification message.
8. Click Save.

Target pane Field	Value
Resource type	GCE VM Instance
Metric	Early boot validation
Filter	status = failed
Group By	status
Aggregator	sum
Advanced Aggregation	Use defaults.

Conditions pane Field	Value
Condition triggers if	Any time series violates
Condition	is above
Threshold	0
For	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:

Steps to create an alerting policy.

To create an alerting policy, do the following:

1. In the Google Cloud Console, go to Monitoring or use the following button:
   Go to Monitoring
2. In the Monitoring navigation pane, select Alerting and then select Create Policy.
3. Enter a name for the alerting policy.
4. Click Add Condition:
   
   1. Complete the Target and Configuration sections using the settings in the following tables.
   2. Click Add.
5. (Optional) Repeat the previous step to monitor another resource.
6. (Optional) Click Add Notification Channel and enter your notification channel information.
7. (Optional) Click Documentation and add any information that you want included in a notification message.
8. Click Save.

Target pane Field	Value
Resource type	GCE VM Instance
Metric	late boot validation
Filter	status = failed
Group By	status
Aggregator	sum
Advanced Aggregation	Use defaults.

Conditions pane Field	Value
Condition triggers if	Any time series violates
Condition	is above
Threshold	0
For	1 minute

Logging monthly log bytes ingested

To create an alerting policy that triggers when your monthly log bytes ingested exceeds your user-defined limit for Cloud Logging, use the following settings:

Steps to create an alerting policy.

To create an alerting policy, do the following:

1. In the Google Cloud Console, go to Monitoring or use the following button:
   Go to Monitoring
2. In the Monitoring navigation pane, select Alerting and then select Create Policy.
3. Enter a name for the alerting policy.
4. Click Add Condition:
   
   1. Complete the Target and Configuration sections using the settings in the following tables.
   2. Click Add.
5. (Optional) Repeat the previous step to monitor another resource.
6. (Optional) Click Add Notification Channel and enter your notification channel information.
7. (Optional) Click Documentation and add any information that you want included in a notification message.
8. Click Save.

Target pane Field	Value
Resource type	Global
Metric	Monthly log bytes ingested
Filter
Aggregator	sum
Advanced Aggregation	Aligner: max Alignment Period: 60m

Conditions pane Field	Value
Condition triggers if	Any time series violates
Condition	is above
Threshold	You determine the acceptable value.
For	Minimum acceptable value is 30 minutes.

Recommendations AI prediction

To set up a Recommendations AI prediction alert, use the following settings in the alerting policy:

Steps to create an alerting policy.

To create an alerting policy, do the following:

1. In the Google Cloud Console, go to Monitoring or use the following button:
   Go to Monitoring
2. In the Monitoring navigation pane, select Alerting and then select Create Policy.
3. Enter a name for the alerting policy.
4. Click Add Condition:
   
   1. Complete the Target and Configuration sections using the settings in the following tables.
   2. Click Add.
5. (Optional) Repeat the previous step to monitor another resource.
6. (Optional) Click Add Notification Channel and enter your notification channel information.
7. (Optional) Click Documentation and add any information that you want included in a notification message.
8. Click Save.

Target pane Field	Value
Resource type	Consumed API
Metric	Request count
Filter	service = recommendationengine.googleapis.com method = google.cloud.recommendationengine.v1beta1.PredictionService.Predict response_code != 200
Aggregator	sum
Advanced Aggregation	Aligner: sum Alignment Period: 1m

Conditions pane Field	Value
Condition triggers if	Any time series violates
Condition	is above
Threshold	0
For	5 minutes

Recommendations AI user event recording reduction

To set up a Recommendations AI event recording reduction alert, use the following settings in the alerting policy:

Steps to create an alerting policy.

To create an alerting policy, do the following:

1. In the Google Cloud Console, go to Monitoring or use the following button:
   Go to Monitoring
2. In the Monitoring navigation pane, select Alerting and then select Create Policy.
3. Enter a name for the alerting policy.
4. Click Add Condition:
   
   1. Complete the Target and Configuration sections using the settings in the following tables.
   2. Click Add.
5. (Optional) Repeat the previous step to monitor another resource.
6. (Optional) Click Add Notification Channel and enter your notification channel information.
7. (Optional) Click Documentation and add any information that you want included in a notification message.
8. Click Save.

Target pane Field	Value
Resource type	Consumed API
Metric	Request count
Filter	service = recommendationengine.googleapis.com method = google.cloud.recommendationengine.v1beta1.PredictionService.CollectUserEvent response_code != 200
Aggregator	sum
Advanced Aggregation	Aligner: sum Alignment Period: 1m

Conditions pane Field	Value
Condition triggers if	Any time series violates
Condition	is absent
Threshold
For	10 minutes

Spanner high priority CPU usage

To create an alerting policy that triggers when your high priority cpu utilization for Cloud Spanner is above a recommended threshold, use the following settings:

Steps to create an alerting policy.

To create an alerting policy, do the following:

1. In the Google Cloud Console, go to Monitoring or use the following button:
   Go to Monitoring
2. In the Monitoring navigation pane, select Alerting and then select Create Policy.
3. Enter a name for the alerting policy.
4. Click Add Condition:
   
   1. Complete the Target and Configuration sections using the settings in the following tables.
   2. Click Add.
5. (Optional) Repeat the previous step to monitor another resource.
6. (Optional) Click Add Notification Channel and enter your notification channel information.
7. (Optional) Click Documentation and add any information that you want included in a notification message.
8. Click Save.

Target pane Field	Value
Resource type^*	Cloud Spanner Instance
Metric	CPU Utilization by priority
Filter	instance_id = YOUR_INSTANCE_ID priority = high
Aggregator	max
Advanced Aggregation	Aligner: mean Alignment Period: 10 m

^* Selecting this resource and metric type is equivalent to entering the following value in the Find resource type and metric pane: spanner.googleapis.com/instance/cpu/utilization_by_priority.

Conditions pane Field	Value
Condition triggers if	Any time series violates
Condition	is above
Threshold	45% for multi-region instances; 65% for regional instances.
For	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 Cloud Spanner is above a recommended threshold, use the following settings:

Steps to create an alerting policy.

To create an alerting policy, do the following:

1. In the Google Cloud Console, go to Monitoring or use the following button:
   Go to Monitoring
2. In the Monitoring navigation pane, select Alerting and then select Create Policy.
3. Enter a name for the alerting policy.
4. Click Add Condition:
   
   1. Complete the Target and Configuration sections using the settings in the following tables.
   2. Click Add.
5. (Optional) Repeat the previous step to monitor another resource.
6. (Optional) Click Add Notification Channel and enter your notification channel information.
7. (Optional) Click Documentation and add any information that you want included in a notification message.
8. Click Save.

Target pane Field	Value
Resource type^*	Cloud Spanner Instance
Metric	Smoothed CPU utilization
Filter	instance_id = YOUR_INSTANCE_ID
Aggregator	sum
Advanced Aggregation	Aligner: mean Alignment Period: 10 m

^* Selecting this resource and metric type is equivalent to entering the following value in the Find resource type and metric pane: spanner.googleapis.com/instance/cpu/smoothed_utilization.

Conditions pane Field	Value
Condition triggers if	Any time series violates
Condition	is above
Threshold	90%
For	10 minutes

Spanner storage

To create an alerting policy that triggers when your storage for your Cloud Spanner instance is above a recommended threshold, use the following settings:

Steps to create an alerting policy.

To create an alerting policy, do the following:

1. In the Google Cloud Console, go to Monitoring or use the following button:
   Go to Monitoring
2. In the Monitoring navigation pane, select Alerting and then select Create Policy.
3. Enter a name for the alerting policy.
4. Click Add Condition:
   
   1. Complete the Target and Configuration sections using the settings in the following tables.
   2. Click Add.
5. (Optional) Repeat the previous step to monitor another resource.
6. (Optional) Click Add Notification Channel and enter your notification channel information.
7. (Optional) Click Documentation and add any information that you want included in a notification message.
8. Click Save.

Target pane Field	Value
Resource type^*	Cloud Spanner Instance
Metric	Storage used
Filter	instance_id = YOUR_INSTANCE_ID
Aggregator	sum
Advanced Aggregation	Aligner: max Alignment Period: 10 m

^* Selecting this resource and metric type is equivalent to entering the following value in the Find resource type and metric pane: spanner.googleapis.com/instance/storage/used_bytes.

Conditions pane Field	Value
Condition triggers if	Any time series violates
Condition	is above
Threshold	Set the threshold to 75% of the maximum storage per node, multiplied by the number of nodes. For the current node limits, see Cloud Spanner Quotas and limits. For a 2 TB limit per node, the recommended threshold is: 1649267441664 multiplied by the number of nodes in your instance.
For	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:

Steps to create an alerting policy.

To create an alerting policy, do the following:

1. In the Google Cloud Console, go to Monitoring or use the following button:
   Go to Monitoring
2. In the Monitoring navigation pane, select Alerting and then select Create Policy.
3. Enter a name for the alerting policy.
4. Click Add Condition:
   
   1. Complete the Target and Configuration sections using the settings in the following tables.
   2. Click Add.
5. (Optional) Repeat the previous step to monitor another resource.
6. (Optional) Click Add Notification Channel and enter your notification channel information.
7. (Optional) Click Documentation and add any information that you want included in a notification message.
8. Click Save.

Target pane Field	Value
Resource type	Consumed API
Metric	Request count
Filter	service = cloudtrace.googleapis.com response_code = 429
Aggregator	sum
Advanced Aggregation	Aligner: sum Alignment Period: 1m

Conditions pane Field	Value
Condition triggers if	Any time series violates
Condition	is above
Threshold	0
For	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:

Steps to create an alerting policy.

To create an alerting policy, do the following:

1. In the Google Cloud Console, go to Monitoring or use the following button:
   Go to Monitoring
2. In the Monitoring navigation pane, select Alerting and then select Create Policy.
3. Enter a name for the alerting policy.
4. Click Add Condition:
   
   1. Complete the Target and Configuration sections using the settings in the following tables.
   2. Click Add.
5. (Optional) Repeat the previous step to monitor another resource.
6. (Optional) Click Add Notification Channel and enter your notification channel information.
7. (Optional) Click Documentation and add any information that you want included in a notification message.
8. Click Save.

Target pane Field	Value
Resource type	global
Metric	Monthly trace spans ingested
Filter
Aggregator	sum
Advanced Aggregation	Aligner: max Alignment Period: 60m

Conditions pane Field	Value
Condition triggers if	Any time series violates
Condition	is above
Threshold	You determine the acceptable value.
For	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:

Steps to create an alerting policy.

To create an alerting policy, do the following:

1. In the Google Cloud Console, go to Monitoring or use the following button:
   Go to Monitoring
2. In the Monitoring navigation pane, select Alerting and then select Create Policy.
3. Enter a name for the alerting policy.
4. Click Add Condition:
   
   1. Complete the Target and Configuration sections using the settings in the following tables.
   2. Click Add.
5. (Optional) Repeat the previous step to monitor another resource.
6. (Optional) Click Add Notification Channel and enter your notification channel information.
7. (Optional) Click Documentation and add any information that you want included in a notification message.
8. Click Save.

Target pane Field	Value
Resource type	Cloud Trace
Metric	Spans Exported to BigQuery
Filter	status != ok
Group by	status
Aggregator	sum
Advanced Aggregation	Aligner: rate Alignment Period: 1 m

Conditions pane Field	Value
Condition triggers if	Any time series violates
Condition	is above
Threshold	0
For	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.