Agent Install

by datadog-labs5b40c73824ecNo license177 starsListed Oct 8, 2026Updated Oct 8, 2026Repository updated today

Install the Datadog Agent on Kubernetes using the Datadog Operator — required before enabling Single Step Instrumentation (SSI), which automatically instruments applications for APM without code changes. Only use if no Datadog Agent is deployed on the cluster yet.

Instructions onlyDevOps & Cloud
AI-generated overview

Installs the Datadog Agent on Kubernetes via the Datadog Operator, including credentials, secret, and verification steps.

What it does
This skill walks an agent through installing the Datadog Agent on a Kubernetes cluster using the Datadog Operator Helm chart. It checks for an existing installation, installs the Operator, creates the API key secret, applies a DatadogAgent custom resource, and verifies the API key through agent logs or a validation call. It produces a running Operator, a datadog-secret, and agent DaemonSet pods, and ends by handing off to an SSI enablement skill.
When to use it
Use it when a Kubernetes cluster has no Datadog Agent deployed yet and the Agent must be installed before enabling Single Step Instrumentation. It fits clusters where Helm and kubectl are available and Datadog credentials can be supplied.
Requirements
Requires Kubernetes v1.20+ with kubectl configured for the target cluster, Helm v3+, and the pup CLI (installed during the skill if missing). Needs a Datadog API key and Datadog site, network access to the Datadog Helm repository and APIs, and cluster permissions to create namespaces, secrets, and workloads. Ships no scripts; all steps are instructions and commands.

Install the Datadog Agent on Kubernetes

Before doing anything else: Fully resolve all variables in ## Context to resolve before acting. Do not begin Step 1 until every variable has a concrete value.

Phase 0: Load Credentials

bash
[ -f environment ] && source environmentecho "DD_API_KEY set: $([ -n "${DD_API_KEY:-}" ] && echo yes || echo no)"echo "DD_SITE: ${DD_SITE:-not set}"echo "helm: $(helm version --short 2>/dev/null || echo NOT FOUND)"

If helm is not found — tell the user:

helm is required for this skill. Install it with:

bash
brew install helm        # macOS# or see https://helm.sh/docs/intro/install/ for other platforms

Once installed, let me know and I'll continue.

Do not proceed until helm is available.

If DD_API_KEY is already set — proceed to Prerequisites.

If DD_API_KEY is not set — tell the user:

I need two things to continue:

1. Datadog API Key — used to authenticate the Agent with your Datadog account. You can find or create one at: https://app.datadoghq.com/organization-settings/api-keys

2. Datadog Site — the region your Datadog account is on. Most accounts use datadoghq.com. Check your Datadog URL to confirm (e.g. app.datadoghq.eu → site is datadoghq.eu). Other options: us3.datadoghq.com, us5.datadoghq.com, ap1.datadoghq.com.

Please run the following in this chat to set your credentials (the ! prefix executes it in this session):

! export DD_API_KEY=your-api-key-here! export DD_SITE=datadoghq.com

Wait for the user to run the commands, then re-run the check above before continuing.


Prerequisites

  • Kubernetes v1.20+ — kubectl version
  • helm v3+ — helm version
  • kubectl configured to target cluster — kubectl config current-context
  • pup-cli installed — check with pup --version; if missing, install it now:
    bash
    if [[ "$(uname)" == "Darwin" ]]; then  brew tap datadog-labs/pack && brew install pupelse  PUP_VERSION=$(curl -s https://api.github.com/repos/datadog-labs/pup/releases/latest | grep '"tag_name"' | cut -d'"' -f4)  curl -L "https://github.com/datadog-labs/pup/releases/download/${PUP_VERSION}/pup_linux_amd64.tar.gz" | tar xz -C /usr/local/bin pup  chmod +x /usr/local/bin/pupfipup --version
    Do not skip — proceed only once pup --version succeeds.

Context to resolve before acting

VariableHow to resolve
CLUSTER_NAMECheck repo IaC, scripts, or kubectl config current-context
DD_SITEAsk the user. Default: datadoghq.com. Common options: datadoghq.eu, us3.datadoghq.com, us5.datadoghq.com, ap1.datadoghq.com. Full list: https://docs.datadoghq.com/getting_started/site/
AGENT_NAMESPACEUse datadog unless the repo already uses datadog-agent consistently
CHART_VERSIONRun helm search repo datadog/datadog-operator --versions | head -5 and use the latest stable

Step 1: Check for an Existing Agent Installation

Claude runs

bash
helm list -A | grep -i datadog

If a release shows deployed — Agent already installed. Skip to Step 5 to confirm health, then exit.

If there is no output — no existing install. Continue to Step 2.


Step 2: Install the Datadog Operator

Claude runs

bash
helm repo add datadog https://helm.datadoghq.comhelm repo update
helm upgrade --install datadog-operator datadog/datadog-operator \  --namespace <AGENT_NAMESPACE> \  --create-namespace \  --version <CHART_VERSION>
kubectl wait --for=condition=Ready pod \  -l app.kubernetes.io/name=datadog-operator \  -n <AGENT_NAMESPACE> \  --timeout=120s

If the Operator pod is Running — continue to Step 3.

ERROR: Pod not ready after 120s — check image pull: kubectl describe pod -l app.kubernetes.io/name=datadog-operator -n <AGENT_NAMESPACE>.


Step 3: Create the API Key Secret

What you need to do in a terminal

bash
export DD_API_KEY=<your-api-key>
kubectl create secret generic datadog-secret \  --from-literal api-key=$DD_API_KEY \  --namespace <AGENT_NAMESPACE>

If secret/datadog-secret created — continue to Step 4.

ERROR: AlreadyExists — confirm which key it holds via Step 5 before deciding whether to recreate.


Step 4: Deploy the DatadogAgent Resource

[DECISION: cluster type]

  • Self-hosted (minikube, kind): include kubelet.tlsVerify: false inside spec.global
  • Managed (GKE, EKS, AKS): omit kubelet.tlsVerify entirely

[DECISION: APM/SSI also being enabled in this session]

  • If yes: do not create a separate DatadogAgent for APM — extend this same manifest with features.apm per enable-ssi. One manifest, not two.
  • If no: use the manifest below as-is.

Save the following as datadog-agent.yaml:

yaml
apiVersion: datadoghq.com/v2alpha1kind: DatadogAgentmetadata:  name: datadog  namespace: <AGENT_NAMESPACE>spec:  global:    clusterName: <CLUSTER_NAME>    site: <DD_SITE>    credentials:      apiSecret:        secretName: datadog-secret        keyName: api-key    # Self-hosted clusters only (minikube, kind):    # kubelet:    #   tlsVerify: false  features:    orchestratorExplorer:      enabled: true    clusterChecks:      enabled: true    logCollection:      enabled: true      containerCollectAll: false

Claude runs

bash
kubectl apply -f datadog-agent.yaml
kubectl wait --for=condition=Ready pod \  -l app.kubernetes.io/component=agent \  -n <AGENT_NAMESPACE> \  --timeout=120s 2>/dev/null || true

Step 5: Verify the API Key

Claude runs

bash
kubectl logs -l app.kubernetes.io/component=agent \  -n <AGENT_NAMESPACE> \  --tail=50 2>/dev/null \  | grep -iE "invalid.*api\.?key|api\.?key.*invalid" \  || echo "No authentication errors found"

If No authentication errors found — key is accepted.

ERROR: Authentication errors found — validate credentials directly:

Claude runs

bash
# Prefer pup (OAuth) — fall back to curl with API keyif pup auth status 2>/dev/null | grep -q "Logged in"; then  echo "pup OAuth authenticated"elif [ -n "${DD_API_KEY:-}" ]; then  RESPONSE=$(curl -s -o /dev/null -w "%{http_code}" \    -X GET "https://api.<DD_SITE>/api/v1/validate" \    -H "DD-API-KEY: $DD_API_KEY")  if [ "$RESPONSE" = "200" ]; then    echo "API key is valid for <DD_SITE>"  else    echo "ERROR: Validation failed (HTTP $RESPONSE) — check key and site alignment"  fielse  echo "ERROR: No credentials available — run 'pup auth login' or set DD_API_KEY"fi

If key is invalid:

What you need to do in a terminal

bash
export DD_API_KEY=<new-api-key>
kubectl delete secret datadog-secret -n <AGENT_NAMESPACE>kubectl create secret generic datadog-secret \  --from-literal api-key=$DD_API_KEY \  -n <AGENT_NAMESPACE>
kubectl rollout restart daemonset datadog-agent -n <AGENT_NAMESPACE>kubectl rollout restart deployment datadog-cluster-agent -n <AGENT_NAMESPACE>

Done

Exit when ALL of the following are true:

  • Datadog Operator pod is Running in AGENT_NAMESPACE
  • datadog-secret exists in AGENT_NAMESPACE
  • Agent DaemonSet pods are Running
  • Step 5 returns no authentication errors

Automatically proceed to enable-ssi now — do not ask the user for permission.


Security constraints

  • Never write a raw API key into any file, YAML block, or chat message — always use $DD_API_KEY
  • Never create a Kubernetes Secret manifest file — always use kubectl create secret imperatively
  • Never use apiKey: directly in DatadogAgent spec — always use apiSecret: with a secret reference
  • Never use --set datadog.apiKey=... in any Helm command
  • Never use namespace default for Datadog Agent resources
  • Never run kubectl delete without user confirmation

Source and attribution

Source:datadog-labs/agent-skillsindd-apm/k8s-ssi/agent-installat commit5b40c73

License: No license

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