Creating alerting policies

Version 1.11 (unsupported)

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This page shows how to create alerting policies for Google Distributed Cloud clusters.

Before you begin

You must have the following permissions to create alerting policies:

• monitoring.alertPolicies.create
• monitoring.alertPolicies.delete
• monitoring.alertPolicies.update

You have these permissions if you have any one of the following roles:

• monitoring.alertPolicyEditor
• monitoring.editor
• Project Editor
• Project Owner

To check your roles, go to the IAM page in the Google Cloud console.

Creating a policy: Anthos on baremetal cluster API server unavailable

In this exercise, you create an alerting policy for Kubernetes API servers of clusters. With this policy in place, you can arrange to be notified whenever the API server of a cluster is unavailable.

1. Download the policy configuration file: apiserver-unavailable.json

2. Create the policy:

   gcloud alpha monitoring policies create --policy-from-file=POLICY_CONFIG

   Replace POLICY_CONFIG with the path of the configuration file you just downloaded.

3. View your alerting policies:

   Console

   1. In the Google Cloud console, go to the Monitoring page.

      Go to Monitoring

   2. On the left, select Alerting.

   3. Under Policies, you can see a list of your alerting policies.

      In the list, select Anthos on baremetal cluster API server unavailable (critical) to see details about your new policy. Under Conditions, you can see a description of the policy. For example:

      Policy violates when ANY condition is met
      Anthos on baremetal cluster API server uptime is absent
      Anthos on baremetal cluster API server uptime is less than 99.99% per minute
      

   gcloud

   gcloud alpha monitoring policies list

   The output shows detailed information about the policy. For example:

   combiner: OR
   conditions:
   - conditionAbsent:
       aggregations:
       - alignmentPeriod: 60s
         crossSeriesReducer: REDUCE_MEAN
         groupByFields:
         - resource.label.project_id
         - resource.label.location
         - resource.label.cluster_name
         - resource.label.namespace_name
         - resource.label.container_name
         - resource.label.pod_name
         perSeriesAligner: ALIGN_MAX
       duration: 300s
       filter: resource.type = "k8s_container" AND resource.labels.namespace_name = "kube-system"
         AND metric.type = "kubernetes.io/anthos/container/uptime" AND resource.label."container_name"=monitoring.regex.full_match("kube-apiserver")
       trigger:
         count: 1
     displayName: Anthos on baremetal cluster API server uptime is absent
     name: projects/…/alertPolicies/12404845535868002666/conditions/12404845535868003603
   - conditionThreshold:
       aggregations:
       - alignmentPeriod: 120s
         crossSeriesReducer: REDUCE_MEAN
         groupByFields:
         - resource.label.project_id
         - resource.label.location
         - resource.label.cluster_name
         - resource.label.namespace_name
         - resource.label.container_name
         - resource.label.pod_name
         perSeriesAligner: ALIGN_MAX
       comparison: COMPARISON_LT
       duration: 300s
       filter: resource.type = "k8s_container" AND resource.labels.namespace_name = "kube-system"
         AND metric.type = "kubernetes.io/anthos/container/uptime" AND resource.label."container_name"=monitoring.regex.full_match("kube-apiserver")
       thresholdValue: 119.0
       trigger:
         count: 1
     displayName: Anthos on baremetal cluster API server uptime is less than 99.99% per
       minute
     name: projects/…/alertPolicies/12404845535868002666/conditions/12404845535868004540
   creationRecord:
     mutateTime: …
     mutatedBy: …
   displayName: Anthos on baremetal cluster API server unavailable (critical)
   enabled: true
   mutationRecord:
     mutateTime: …
     mutatedBy: …
   name: projects/…/alertPolicies/12404845535868002666
   

Creating additional alerting policies

This section provides descriptions and configuration files for a set of recommended alerting policies.

To create a policy, follow the same steps that you used in the preceding exercise:

1. To download the configuration file, click the link in the right column.

2. To create the policy, run gcloud alpha monitoring policies create.

You can download and install all of the alert policy ssamples described in this document with the following script:

# 1. Create a directory named alert_samples:

mkdir alert_samples && cd alert_samples
declare -a alerts=("apiserver-unavailable.json" "scheduler-unavailable.json" "controller-manager-unavailable.json" "pod-crash-looping.json" "container-memory-usage-high-reaching-limit.json"
"container-cpu-usage-high-reaching-limit.json" "pod-not-ready-1h.json" "persistent-volume-usage-high.json" "node-not-ready-1h.json" "node-cpu-usage-high.json" "node-memory-usage-high.json"
"node-disk-usage-high.json" "api-server-error-ratio-10-percent.json" "api-server-error-ratio-5-percent.json" "etcd-leader-changes-too-frequent.json" "etcd-proposals-failed-too-frequent.json"
"etcd-server-not-in-quorum.json" "etcd-storage-usage-high.json")

# 2. Download all alert samples into the alert_samples/ directory:

for x in "${alerts[@]}"
do
  wget https://cloud.google.com/anthos/clusters/docs/bare-metal/1.11/samples/${x}
done

# 3. (optional) Uncomment and provide your project ID to set the default project
# for gcloud commands:

# gcloud config set project <PROJECT_ID>

# 4. Create alert policies for each of the downloaded samples:

for x in "${alerts[@]}"
do
  gcloud alpha monitoring policies create --policy-from-file=${x}
done

Control plane components availability

Alert name	Description	Alerting policy definition in Cloud Monitoring
Anthos on baremetal cluster API server unavailable (critical)	API server is not up or uptime is less than 99.99% per minute	apiserver-unavailable.json
Anthos on baremetal cluster scheduler unavailable (critical)	Scheduler is not up or uptime is less than 99.99% per minute	scheduler-unavailable.json
Anthos on baremetal controller manager unavailable (critical)	Controller manager has disappeared from metrics target discovery	controller-manager-unavailable.json

Kubernetes system

Alert name	Description	Alerting policy definition in Cloud Monitoring
Anthos on baremetal pod crash looping (critical)	Pod restarted and might be in a crash loop status	pod-crash-looping.json
Anthos on baremetal container memory usage exceeds 85 percent (warning)	Container memory usage is over 85% of limit	container-memory-usage-high-reaching-limit.json
Anthos on baremetal container cpu usage exceeds 80 percent (warning)	Container cpu usage is over 80% of limit	container-cpu-usage-high-reaching-limit.json
Anthos on baremetal pod not ready for more than one hour (critical)	Pod is in a non-ready state for more than one hour	pod-not-ready-1h.json
Anthos on baremetal persistent volume high usage (critical)	Claimed persistent volume is expected to fill up	persistent-volume-usage-high.json
Anthos on baremetal node not ready for more than one hour (critical)	Node is in a non-ready state for more than one hour	node-not-ready-1h.json
Anthos on baremetal node cpu usage exceeds 80 percent (critical)	Node cpu usage is over 80%	node-cpu-usage-high.json
Anthos on baremetal node memory usage exceeds 80 percent (critical)	Node memory usage is over 80%	node-memory-usage-high.json
Anthos on baremetal node disk usage exceeds 80 percent (critical)	Node disk usage is over 80%	node-disk-usage-high.json

Kubernetes performance

Alert name	Description	Alerting policy definition in Cloud Monitoring
Anthos on baremetal API server error count ratio exceeds 10 percent (critical)	API server is returning errors for more than 10% of requests	api-server-error-ratio-10-percent.json
Anthos on baremetal API server error count ratio exceeds 5 percent (warning)	API server is returning errors for more than 5% of requests	api-server-error-ratio-5-percent.json
Anthos on baremetal etcd leader changes too frequently (critical)	The etcd leader changes too frequently	etcd-leader-changes-too-frequent.json
Anthos on baremetal etcd proposals failed too frequently (critical)	The etcd proposals are failing too frequently	etcd-proposals-failed-too-frequent.json
Anthos on baremetal etcd server is not in quorum (critical)	The etcd server is not in quorum	etcd-server-not-in-quorum.json
Anthos on baremetal etcd storage exceeds 90 percent limit (critical)	The etcd storage usage is more than 90% of limit	etcd-storage-usage-high.json

Getting notified

After you create an alerting policy, you can define one or more notification channels for the policy. There are several kinds of notification channels. For example, you can be notified by email, a Slack channel, or a mobile app. You can choose the channels that suit your needs.

For instructions about how to configure notification channels, see Managing notification channels.