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This page lists configuration options for the Containers page in Datadog. To learn more about the Containers page and its capabilities, see Containers View documentation.
Include and exclude containers from real-time collection:
DD_CONTAINER_EXCLUDE
or by adding container_exclude:
in your datadog.yaml
main configuration file.DD_CONTAINER_INCLUDE
or by adding container_include:
in your datadog.yaml
main configuration file.Both arguments take an image name as value. Regular expressions are also supported.
For example, to exclude all Debian images except containers with a name starting with frontend, add these two configuration lines in your datadog.yaml
file:
container_exclude: ["image:debian"]
container_include: ["name:frontend.*"]
Note: For Agent 5, instead of including the above in the datadog.conf
main configuration file, explicitly add a datadog.yaml
file to /etc/datadog-agent/
, as the Process Agent requires all configuration options here. This configuration only excludes containers from real-time collection, not from Autodiscovery.
To prevent the leaking of sensitive data, you can scrub sensitive words in container YAML files. Container scrubbing is enabled by default for Helm charts, and some default sensitive words are provided:
password
passwd
mysql_pwd
access_token
auth_token
api_key
apikey
pwd
secret
credentials
stripetoken
You can set additional sensitive words by providing a list of words to the environment variable DD_ORCHESTRATOR_EXPLORER_CUSTOM_SENSITIVE_WORDS
. This adds to, and does not overwrite, the default words.
Note: The additional sensitive words must be in lowercase, as the Agent compares the text with the pattern in lowercase. This means password
scrubs MY_PASSWORD
to MY_*******
, while PASSWORD
does not.
You need to setup this environment variable for the following agents:
env:
- name: DD_ORCHESTRATOR_EXPLORER_CUSTOM_SENSITIVE_WORDS
value: "customword1 customword2 customword3"
For example, because password
is a sensitive word, the scrubber changes <MY_PASSWORD>
in any of the following to a string of asterisks, ***********
:
password <MY_PASSWORD>
password=<MY_PASSWORD>
password: <MY_PASSWORD>
password::::== <MY_PASSWORD>
However, the scrubber does not scrub paths that contain sensitive words. For example, it does not overwrite /etc/vaultd/secret/haproxy-crt.pem
with /etc/vaultd/******/haproxy-crt.pem
even though secret
is a sensitive word.
The following table presents the list of collected resources and the minimal Agent, Cluster Agent, and Helm chart versions for each.
Resource | Minimal Agent version | Minimal Cluster Agent version* | Minimal Helm chart version | Minimal Kubernetes version |
---|---|---|---|---|
ClusterRoleBindings | 7.33.0 | 1.19.0 | 2.30.9 | 1.14.0 |
ClusterRoles | 7.33.0 | 1.19.0 | 2.30.9 | 1.14.0 |
Clusters | 7.33.0 | 1.18.0 | 2.10.0 | 1.17.0 |
CronJobs | 7.33.0 | 7.40.0 | 2.15.5 | 1.16.0 |
DaemonSets | 7.33.0 | 1.18.0 | 2.16.3 | 1.16.0 |
Deployments | 7.33.0 | 1.18.0 | 2.10.0 | 1.16.0 |
HorizontalPodAutoscalers | 7.33.0 | 7.51.0 | 2.10.0 | 1.1.1 |
Ingresses | 7.33.0 | 1.22.0 | 2.30.7 | 1.21.0 |
Jobs | 7.33.0 | 1.18.0 | 2.15.5 | 1.16.0 |
Namespaces | 7.33.0 | 7.41.0 | 2.30.9 | 1.17.0 |
Network Policies | 7.33.0 | 7.56.0 | 3.57.2 | 1.14.0 |
Nodes | 7.33.0 | 1.18.0 | 2.10.0 | 1.17.0 |
PersistentVolumes | 7.33.0 | 1.18.0 | 2.30.4 | 1.17.0 |
PersistentVolumeClaims | 7.33.0 | 1.18.0 | 2.30.4 | 1.17.0 |
Pods | 7.33.0 | 1.18.0 | 3.9.0 | 1.17.0 |
ReplicaSets | 7.33.0 | 1.18.0 | 2.10.0 | 1.16.0 |
RoleBindings | 7.33.0 | 1.19.0 | 2.30.9 | 1.14.0 |
Roles | 7.33.0 | 1.19.0 | 2.30.9 | 1.14.0 |
ServiceAccounts | 7.33.0 | 1.19.0 | 2.30.9 | 1.17.0 |
Services | 7.33.0 | 1.18.0 | 2.10.0 | 1.17.0 |
Statefulsets | 7.33.0 | 1.15.0 | 2.20.1 | 1.16.0 |
VerticalPodAutoscalers | 7.33.0 | 7.46.0 | 3.6.8 | 1.16.0 |
Note: After version 1.22, Cluster Agent version numbering follows Agent release numbering, starting with version 7.39.0.
You can add custom tags to Kubernetes resources to ease filtering inside the Kubernetes resources view.
Additional tags are added through the DD_ORCHESTRATOR_EXPLORER_EXTRA_TAGS
environment variable.
Note: These tags only show up in the Kubernetes resources view.
Add the environment variable on both the Process Agent and the Cluster Agent by setting agents.containers.processAgent.env
and clusterAgent.env
in datadog-agent.yaml
.
apiVersion: datadoghq.com/v2alpha1
kind: DatadogAgent
metadata:
name: datadog
spec:
global:
credentials:
apiKey: <DATADOG_API_KEY>
appKey: <DATADOG_APP_KEY>
features:
liveContainerCollection:
enabled: true
orchestratorExplorer:
enabled: true
override:
agents:
containers:
processAgent:
env:
- name: "DD_ORCHESTRATOR_EXPLORER_EXTRA_TAGS"
value: "tag1:value1 tag2:value2"
clusterAgent:
env:
- name: "DD_ORCHESTRATOR_EXPLORER_EXTRA_TAGS"
value: "tag1:value1 tag2:value2"
Then, apply the new configuration:
kubectl apply -n $DD_NAMESPACE -f datadog-agent.yaml
If you are using the official Helm chart, add the environment variable on both the Process Agent and the Cluster Agent by setting agents.containers.processAgent.env
and clusterAgent.env
in values.yaml.
agents:
containers:
processAgent:
env:
- name: "DD_ORCHESTRATOR_EXPLORER_EXTRA_TAGS"
value: "tag1:value1 tag2:value2"
clusterAgent:
env:
- name: "DD_ORCHESTRATOR_EXPLORER_EXTRA_TAGS"
value: "tag1:value1 tag2:value2"
Then, upgrade your Helm chart.
Set the environment variable on both the Process Agent and Cluster Agent containers:
- name: DD_ORCHESTRATOR_EXPLORER_EXTRA_TAGS
value: "tag1:value1 tag2:value2"
The Orchestrator Explorer collects CustomResourceDefinitions by default. These definitions appear in Datadog without any user configuration required.
To collect custom resources, you need to configure both the Datadog Agent and set up indexing.
Configure the Datadog Agent:
Add the following configuration to datadog-values.yaml
:
orchestratorExplorer:
customResources:
- <CUSTOM_RESOURCE_NAME>
Each <CUSTOM_RESOURCE_NAME>
must use the format group/version/kind
.
The Datadog Operator needs permission to allow the Agent to collect custom resources. Install the Operator with an option that grants this permission:
helm install datadog-operator datadog/datadog-operator --set clusterRole.allowReadAllResources=true
Then, add the following configuration to your DatadogAgent
manifest, datadogagent.yaml
:
features:
orchestratorExplorer:
customResources:
- <CUSTOM_RESOURCE_NAME>
Each <CUSTOM_RESOURCE_NAME>
must use the format group/version/kind
.
In Datadog, open Orchestrator Explorer.
On the left panel, under Select Resources, select Kubernetes > Custom Resources > Resource Definitions.
Locate the custom resource definition that corresponds to the resource you want to visualize in the explorer. Click on the version under the Versions column.
Click to select the fields you would like to index from the Custom Resource (maximum of 50 fields per resource), then click Enable Indexing to save
Once fields are indexed, they will be available to add as columns in the explorer or as part of Saved Views.