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
[ -f environment ] && source environment
echo "DD_API_KEY set: $([ -n "${DD_API_KEY:-}" ] && echo yes || echo no)"
echo "DD_SITE: ${DD_SITE:-not set}"
echo "helm: $(helm version --short 2>/dev/null || echo NOT FOUND)"
If helm is not found — tell the user:
helmis required for this skill. Install it with: ``bash brew install helm # macOS # or see https://helm.sh/docs/intro/install/ for other platforms`` Once installed, let me know and I'll continue.
Do not proceed until helm is available.
If DD_API_KEY is already set — proceed to Prerequisites.
If DD_API_KEY is not set — tell the user:
I need two things to continue: 1. Datadog API Key — used to authenticate the Agent with your Datadog account. You can find or create one at: https://app.datadoghq.com/organization-settings/api-keys 2. Datadog Site — the region your Datadog account is on. Most accounts use
datadoghq.com. Check your Datadog URL to confirm (e.g.app.datadoghq.eu→ site isdatadoghq.eu). Other options:us3.datadoghq.com,us5.datadoghq.com,ap1.datadoghq.com. Please run the following in this chat to set your credentials (the!prefix executes it in this session): ``! export DD_API_KEY=your-api-key-here ! export DD_SITE=datadoghq.com``
Wait for the user to run the commands, then re-run the check above before continuing.
---
Prerequisites
- [ ] Kubernetes v1.20+ —
kubectl version - [ ] helm v3+ —
helm version - [ ] kubectl configured to target cluster —
kubectl config current-context - [ ] pup-cli installed — check with
pup --version; if missing, install it now:
if [[ "$(uname)" == "Darwin" ]]; then
brew tap datadog-labs/pack && brew install pup
else
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/pup
fi
pup --version
Do not skip — proceed only once pup --version succeeds.
---
Context to resolve before acting
| Variable | How to resolve | |
|---|---|---|
CLUSTER_NAME | Check repo IaC, scripts, or kubectl config current-context | |
DD_SITE | Ask 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_NAMESPACE | Use datadog unless the repo already uses datadog-agent consistently | |
CHART_VERSION | Run `helm search repo datadog/datadog-operator --versions \ | head -5` and use the latest stable |
---
Step 1: Check for an Existing Agent Installation
Claude runs
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
helm repo add datadog https://helm.datadoghq.com
helm 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
export DD_API_KEY=<your-api-key>
kubectl create secret generic datadog-secret \
--from-literal api-key=$DD_API_KEY \
--namespace <AGENT_NAMESPACE>
If secret/datadog-secret created — continue to Step 4.
ERROR: AlreadyExists — confirm which key it holds via Step 5 before deciding whether to recreate.
---
Step 4: Deploy the DatadogAgent Resource
[DECISION: cluster type]
- Self-hosted (minikube, kind): include
kubelet.tlsVerify: falseinsidespec.global - Managed (GKE, EKS, AKS): omit
kubelet.tlsVerifyentirely
[DECISION: APM/SSI also being enabled in this session]
- If yes: do not create a separate
DatadogAgentfor APM — extend this same manifest withfeatures.apmperenable-ssi. One manifest, not two. - If no: use the manifest below as-is.
Save the following as datadog-agent.yaml:
apiVersion: datadoghq.com/v2alpha1
kind: DatadogAgent
metadata:
name: datadog
namespace: <AGENT_NAMESPACE>
spec:
global:
clusterName: <CLUSTER_NAME>
site: <DD_SITE>
credentials:
apiSecret:
secretName: datadog-secret
keyName: api-key
# Self-hosted clusters only (minikube, kind):
# kubelet:
# tlsVerify: false
features:
orchestratorExplorer:
enabled: true
clusterChecks:
enabled: true
logCollection:
enabled: true
containerCollectAll: false
Claude runs
kubectl apply -f datadog-agent.yaml
kubectl wait --for=condition=Ready pod \
-l app.kubernetes.io/component=agent \
-n <AGENT_NAMESPACE> \
--timeout=120s 2>/dev/null || true
---
Step 5: Verify the API Key
Claude runs
kubectl logs -l app.kubernetes.io/component=agent \
-n <AGENT_NAMESPACE> \
--tail=50 2>/dev/null \
| grep -iE "invalid.*api\.?key|api\.?key.*invalid" \
|| echo "No authentication errors found"
If No authentication errors found — key is accepted.
ERROR: Authentication errors found — validate credentials directly:
Claude runs
# Prefer pup (OAuth) — fall back to curl with API key
if pup auth status 2>/dev/null | grep -q "Logged in"; then
echo "pup OAuth authenticated"
elif [ -n "${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 $RESPONSE) — check key and site alignment"
fi
else
echo "ERROR: No credentials available — run 'pup auth login' or set DD_API_KEY"
fi
If key is invalid:
What you need to do in a terminal
export DD_API_KEY=<new-api-key>
kubectl delete secret datadog-secret -n <AGENT_NAMESPACE>
kubectl create secret generic datadog-secret \
--from-literal api-key=$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-secretexists inAGENT_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 secretimperatively - Never use
apiKey:directly inDatadogAgentspec — always useapiSecret:with a secret reference - Never use
--set datadog.apiKey=...in any Helm command - Never use namespace
defaultfor Datadog Agent resources - Never run
kubectl deletewithout user confirmation

