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To aggregate and stream your Org's audit log data to DataDog using the web console or the command line (RCTL).

Use the web console to configure your audit logs.


Configure Workload

Note: Only one audit log workload is needed for an organization.

  1. In the web console, select Catalog.
  2. For Filter by Catalog, select default-rafay. Repositories
  3. Select rafay-datadog, then select Create Workload. Create Workload
  4. Enter a name for the workload. Example: rafay-audit-logs.
  5. Select the namespace. New Repository
  6. Click Continue.
  7. On the Repository tab, for Values yaml:
  8. Click Save and Go to Placement.
  9. Update the following for Placements:
    • Select the appropriate Drift Action.
    • Select Specified Clusters for the Placement Policy.
    • Select the cluster from the cluster list.
    • Click Save and go to Publish.
  10. Click Publish.

Use the Command Line Interface (RCTL) to automate reproducible workflows without having to use the web console.


Note: Set the correct project using RCTL.

Create a Repository

Create a repository.yaml file using the following example. Replace demo with the name of the project you are adding this repository to. Optionally, you can change helm-repo to another name; if you change the name, use that name for repository_ref in the workload.yaml file (see Create a Workload).

kind: Repository
  name: helm-repo
  project: demo
  repositoryType: HelmRepository
  credentialType: CredentialTypeNotSet

Run the create repository command and include the repository.yaml file.

./rctl create repository -f repository.yaml

Create a Workload

Create a workload.yaml file using the following example. Replace the names used in clusters, namespace, and project to match your environment where you want to publish the workload.

name: audit-logs
namespace: ns-name
type: Helm
project: demo
clusters: demo-cluster
repository_ref: helm-repo
    chartName: rafay-datadog
values: ./values.yaml

Run the create workload command and include the workload.yaml file.

./rctl create workload workload.yaml

Publish a Workload

Run the publish workload command. Replace workload-name with the name used in the workload.yaml file. Example: audit-logs.

./rctl publish workload workload-name

Values YAML File

Create a values.yaml file that contains your DataDog information. Use the example below and change the following:

  • rafay_api_key - Your organization's API key. In the web console, select My Tools > Manage Keys.
  • rafay_api_secret - Your organization's API Secret key. In the web console, select My Tools > Manage Keys.
  • host - The DataDog endpoint used by the custom forwarder. See Log Collection and Integrations on the DataDog Docs site.
  • datadogkey - Your DataDog API key. (See below for DataDog API Keys)
  • secret_name - (Optional) Specify existing k8s secret name that contains your organization's API key, secret and datadog key. (See below is an example of k8s secret)
# Default values for rafay datadog audit log integration.
# This is a YAML-formatted file.
# Declare variables to be passed into your templates.

  ## Rafay console URL
  ## Rafay API Key
  rafay_api_key: RAFAY_API_KEY
  ## Rafay API Secret
  rafay_api_secret: RAFAY_API_SECRET
  ## Send Initial logs to datadog based on following value. Default to "14d" days
  filter: 14d
  ## Time Interval to send logs to datadog
  interval: 1m
  ## Datadog host
  ## Datadog API KEY
  datadog_api_key: DATADOG_API_KEY
  ## Existning Secret Name or leave it empty
  secret_name: ""
  pullPolicy: Always
  # Overrides the image tag whose default is the chart appVersion.
  tag: 0.2.6

  # Specifies whether a service account should be created
  create: true
  # Annotations to add to the service account
  annotations: {}
  # The name of the service account to use.
  # If not set and create is true, a name is generated using the fullname template
  create: true
replicaCount: 1
imagePullSecrets: []
nameOverride: ""
fullnameOverride: ""
deploymentAnnotations: {}
podAnnotations: {}
resources: {}
  # We usually recommend not to specify default resources and to leave this as a conscious
  # choice for the user. This also increases chances charts run on environments with little
  # resources, such as Minikube. If you do want to specify resources, uncomment the following
  # lines, adjust them as necessary, and remove the curly braces after 'resources:'.
  # limits:
  #   cpu: 100m
  #   memory: 128Mi
  # requests:
  #   cpu: 100m
  #   memory: 128Mi
nodeSelector: {}
tolerations: []
affinity: {}

Creating a DataDog API Key

  1. In the DataDog console, select Settings > Organization Settings, then click API Keys under Access. Or select Integrations > APIs, then click API Keys have moved to the Organization Settings page.
  2. Click New Key. If an API key already exists, click the API key name, then Copy the key.
  3. Enter a name for the API key (example: Rafay-Logs), then click Create Key.
  4. Copy the API key and paste it for the datadogkey in the values.yaml file.

Example of k8s secret with API Key, Secret and Datadog API key.

apiVersion: v1
kind: Secret
  rafaykey: cmFmYXlrZXkK
  rafaysecret: cmFmYXlzZWNyZXQK
  token: dG9rZW4K