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This page provides troubleshooting information for container monitoring.
There are three methods of deploying the Agent:
As a container in a runtime
In a cloud environment, such as Amazon ECS, Fargate in an Amazon ECS environment, or Amazon EKS
In a Kubernetes environment
These different methods present unique deployment challenges. Use this page as a starting point to resolve issues. If you continue to have trouble, reach out to Datadog support for further assistance.
For details on Agent release updates or changes, refer to Datadog’s release notes.
A useful way to inject environment variables or to configure a DogStatsD library is to implement the Admission Controller feature on the Cluster Agent. Note: The Cluster Agent must be deployed and running before the application is deployed.
Metrics are not appearing on the Datadog Web Platform
Verify that the following are true:
The metrics endpoint is exposed and is open for the the Agent to reach.
There are no proxies or firewalls that might impede the Agent from accessing the endpoint.
Agent has Autodiscovery enabled.
Logs are not collected
There are two environment variables that can effect whether logs are collected and from which containers:
true to collect logs.
- Additionally, set
true to collect all logs from all containers.
To exclude logs (and other features) from collection, see the Container Discovery Management guide.
Cannot connect to the Kubelet
The most common error that prevents connection to the Kubelet API is the verification of the Kubelet TLS certificate.
TLS verification is enabled by default, and may prevent the Agent from connecting to the Kubelet API through HTTPS. You can disable TLS verification by using dedicated parameters or by setting the
DD_KUBELET_TLS_VERIFY variable for all containers in the Agent manifest:
HPA metrics are not appearing or are not aligning with the expected value
First, ensure that the Cluster Agent is deployed and able to send data to the node Agent.
Then, review the query used to scale the external metrics in the Metrics Summary. Only valid queries autoscale. If there are multiple queries, all queries are ignored if any of the queries are invalid.
When reaching out for further assistance for HPA metrics, provide the following to Datadog support:
describe output of the HPA manifest:
$ kubectl describe hpa > hpa.log
describe output of the DatadogMetric Custom Resource Definition:
$ kubectl describe DatadogMetric > DatadogMetric.log
For logs, make sure that the Agent deployment command has
Ensure that your IAM policy is updated.
Logs are not collected in Fargate
ECS: Ensure that the log router is attached to the container from which you would like to collect logs.
EKS: There are two common ways for the Agent to collect logs in an EKS Fargate environment: Log forwarding with CloudWatch logs, and log forwarding through Kinesis Data Firehose. Using Kinesis Data Firehose to collect logs requires the successful implementation of the Kinesis Data Firehose delivery stream, as well as some command line tools.
Container not deploying or collecting metrics
First, ensure your API key is valid.
Then, in your node Agent Pod, run the
agent status command and review the results.
On managed services such as Azure Kubernetes Service (AKS) and Google Kubernetes Engine (GKE), the user cannot access the control plane components. As a result, it is not possible to run the
etcd checks in these environments.
Troubleshooting data requested by Datadog support
After you open a support ticket, you may be asked for the following types of information:
You can use the
flare command to send troubleshooting information to Datadog support.
Node Agent flare
$ kubectl exec <AGENT_POD_NAME> -it agent flare <CASE_ID>
Cluster Agent flare
$ kubectl exec <CLUSTER_AGENT_POD_NAME> -it agent flare <CASE_ID>
Describe Pod output
This provides the team with insight on how the node or Cluster Agent was deployed, what the most recent events were for the pod, and if some qualities (such as custom tags) were injected and applied to host metrics. The
> <FILENAME>.yaml section of the command creates a file output that can be sent to Datadog support as an attachment:
$ kubectl describe pod <POD_NAME> > <FILENAME>.yaml
This is the file used to deploy the Agent in your environment. It informs Datadog of the tags configured, whether logs were enabled, and if certain containers are defined to be ignored.
In the case of deploying the Agent in a runtime environment, send Support the command line used to deploy the Agent.
The three most common deployment methods are: Helm chart, DaemonSet, and Operator.
If you are experiencing missing or inaccurate metrics, Datadog support may ask for the result of a cURL output of the node Agent trying to reach the metric endpoint. This is done by running the command from inside the Agent container, and can inform support if the Agent has access to the metrics. Note: This is not possible in a Fargate or managed services:
$ kubectl exec -it <AGENT_POD_NAME> curl -k -v ""<METRIC_ENDPOINT>""
$ docker exec -it <AGENT_CONTAINER_ID> curl -k -v "<METRIC_ENDPOINT>"
Documentation, liens et articles supplémentaires utiles: