...

...

Assumptions

• If using an existing dd-agent version (and just pointing it to KloudFuse instead of DD HQ)

  • dd agent version needs to be 7.41 or higher.

  • validate using following steps:

    • check the chart version with helm list - should be 3.1.10 or higher

      Code Block
      helm list -n <namespace-where-agent-is-installed>

    • check the image version of the agent with describe pod on dd-agent pod.

      Code Block
      k describe pod -n <namespace-where-agent-is-installed> | grep Image Image: gcr.io/datadoghq/agent:7.36.0

Install DataDog Agent

...

Required Datadog configurations

The yaml files described above already contains the required Datadog configurations for Kloudfuse to ingest the data properly. These required changes are listed below:

datadog:
  logsEnabled: true
  logs:
    enabled: true
    containerCollectAll: true
    containerCollectUsingFiles: true
    autoMultiLineDetection: true
  kubeStateMetricsEnabled: false
  kubeStateMetricsCore:
    enabled: true
    ignoreLegacyKSMCheck: true
  orchestratorExplorer:
    enabled: true
  processAgent:
    enabled: true
  prometheusScrape:
    enabled: true
    version: 1
    additionalConfigs:
      - configurations:
        - send_monotonic_counter: false
          send_distribution_counts_as_monotonic: false
          send_distribution_sums_as_monotonic: false
          send_histograms_buckets: true
          max_returned_metrics: 999999
          min_collection_interval: 15          
clusterAgent:
  enabled: true
  datadog_cluster_yaml:
    process_config:
      container_collection:
        enabled: false
    orchestrator_explorer:
      manifest_collection:
        enabled: false
    use_v2_api:
      events: true
      series: true
      service_checks: true
  admissionController:
    enabled: false
agents:
  image:
    tagSuffix: jmx
  useConfigMap: true
  customAgentConfig:
    skip_ssl_validation: false
    enable_stream_payload_serialization: false
    process_config:
      container_collection:
        enabled: false
    orchestrator_explorer:
      manifest_collection:
        enabled: false
    use_v2_api:
      events: true
      series: true
      service_checks: true
    logs_config:
      use_http: true
      logs_no_ssl: true
      auto_multi_line_detection: true
      use_v2_api: false
    apm_config:
      enabled: true
      apm_non_local_traffic: true
    metadata_providers:
      - name: host
        interval: 300          

Collect high cardinality tags

The Datadog Agent is installed with cardinality set to ‘orchestrator’ level - allowing granular (pod and container level) tagging of metrics.. The default setting in the Datadog Agent is set to ‘low’ - allowing tagging only at host level.

Install command

If you haven’t before, add datadog helm repo:

helm repo add datadog https://helm.datadoghq.com
helm repo update

Install the datadog agent with updated values (cmd below assumes the file is called dd-values-kfuse.yaml. Replace that argument with the filename that’s relevant to your scenario).

# Create separate namespace for the agent to be installed (if required)
kubectl create namespace kfuse-agent
helm upgrade --install kfuse-agent -f dd-values-kfuse.yaml datadog/datadog -n kfuse-agent --version 3.6.7

Collect high cardinality tags

The Datadog Agent is installed with cardinality set to ‘orchestrator’ level - allowing granular (pod and container level) tagging of metrics.. The default setting in the Datadog Agent is set to ‘low’ - allowing tagging only at host level.

Install command

If you haven’t before, add datadog helm repo:

helm repo add datadog https://helm.datadoghq.com
helm repo update

Install the datadog agent with updated values (cmd below assumes the file is called dd-values-kfuse.yaml. Replace that argument with the filename that’s relevant to your scenario).

# Create separate namespace for the agent to be installed (if required)
kubectl create namespace kfuse-agent
helm upgrade --install kfuse-agent -f dd-values-kfuse.yaml datadog/datadog -n kfuse-agent --version 3.6.7

Adding custom tags

Custom tags can be added to the agent such that all metrics collected by the agent will have the tag added. To add custom tags, please follow these steps.

1. Update dd-values-kfuse.yaml file to include following for the custom tags (please note that each tag should be added as key:value as a string separated by the ":") :

datadog:
  tags:
    - custom_tag_name:custom_tag_value

2. kfuse helmcustom-values.yaml file needs to be updated to whitelist the new custom tag (note that the following entry needs to be “appended” to the existing list, without which some default values will get overwritten which is not the desired behavior. Please contact the Kloudfuse team for assistance):

ingester:
  config:
    hostTagIncludes:
    - kf
    - kfuse
    - kube_cluster_name
    - kubernetes.io/hostname
    - node.kubernetes.io/instance-type
    - org_id
    - project
    - topology.kubernetes.io/region
    - topology.kubernetes.io/zone
    ...
    - custom_tag_name

Enabling Pods to be detected by Prometheus Autodiscovery

In addition to prometheusScrape to be enabled in the datadog values yaml, the pods needs to have the following annotations. Note that if the application pods are deployed using helm, typically the helm values support a podAnnotations section.

  prometheus.io/path: <specify prometheus endpoint path, e.g., /metrics>
  prometheus.io/port: <SPECIFY promethus endpoint here, e.g., "9090">
  prometheus.io/scrape: "true"

Metadata for metrics collected using the openmetrics check

If using the above configuration, then the openmetrics check is enabled in the agent. See here for more details on what openmetrics check does. Kloudfuse agent (installed using the provided values file) employs a custom check (kf_openmetrics) to collect metadata (the “Description” and “Type” of metrics) for metrics collected using the openmetrics check, which. by default, doesn’t collect any metadata. To enable collection of metadata for these metrics, the sources are required to be annotated which will enable the agent auto-discovery for these pods and execute the custom check.

Kubernetes environment

To enable metrics metadata to be collected from a Kubernetes pod (as shown in an example here) follow these steps (Note that this can be done in helm as well for each of the deployment/sts):

apiVersion: v1
kind: Pod
# (...)
metadata:
  name: '<POD_NAME>'
annotations:
    ad.datadoghq.com/<CONTAINER_IDENTIFIER>.check_names: '["kf_openmetrics"]'
    ad.datadoghq.com/<CONTAINER_IDENTIFIER>.init_configs: '[{}]'
    ad.datadoghq.com/<CONTAINER_IDENTIFIER>.instances: '[ { "openmetrics_endpoint": "<http://%%host%%:%%port%%/metrics>"}
      ]'
    # (...)
spec:
  containers:
    - name: '<CONTAINER_IDENTIFIER>'
# (...)

Advance monitoring using Knight

Enable kubernetes_state_metrics

/wiki/spaces/EX/pages/756056089 (Kfuse 1.3 or higher) currently has dependency on kubernetes_state_metrics (KSM) check which is not enabled in the newer version of the agent (2.0) by default. Please ensure that the agent continues to capture these metrics through KSM. To do that, please add/update the dd-agent values file as follows:

datadog:
  kubeStateMetricsEnabled: true
  kubeStateMetricsCore:
    enabled: true
    ignoreLegacyKSMCheck: false

Enable Knight based monitoring in kfuse

Add knightEnabled in the custom-values.yaml and then upgrade the cluster.

ingester:
  ...
  config:
    knightEnabled: true