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Enable Ssi

DatadogOfficialCreated by datadog-labs

  • Skill
  • Workflow
  • Cloud and DevOps
  • MIT
  • Low risk

From the author

Configure Unified Service Tags and verify Single Step Instrumentation (SSI) injection on Linux hosts — SSI automatically instruments applications for APM without code changes. Only use if the Datadog Agent is already installed.
— the description by datadog-labs

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

This skill provides a structured workflow to configure Unified Service Tags (DD_SERVICE, DD_ENV, DD_VERSION) for applications running on Linux hosts where Datadog Single Step Instrumentation (SSI) is already installed. It ensures that services are correctly tagged for APM and verifies that the SSI launcher and language libraries are properly injected into the application process. The process includes checking for existing manual instrumentation, applying environment variable overrides via systemd or other service managers, and validating the final configuration in the running process.

What it does

  • Verifies that SSI is correctly armed on the target Linux host.
  • Identifies and guides the removal of conflicting manual instrumentation.
  • Configures Unified Service Tags (UST) via service manager overrides.
  • Integrates with event-driven service detection where applicable.
  • Validates successful injection and environment variable application in the running process.
  • Ensures service health after configuration changes.

When to use it

  • When SSI is installed but application services lack proper Unified Service Tags.
  • When you need to set or update DD_SERVICE, DD_ENV, or DD_VERSION for an instrumented service.
  • When troubleshooting missing APM data for services where SSI is expected to be active.
  • When transitioning from manual instrumentation to SSI-based auto-instrumentation.

Advantages

  • Standardizes service tagging across infrastructure.
  • Prevents configuration conflicts by detecting manual instrumentation.
  • Minimizes manual effort by automating the verification of process-level injection.
  • Ensures safe deployment by requiring user confirmation before service restarts.

Usage examples

“Configure Unified Service Tags for my payment-api service on the production host.”
The agent will verify SSI status, apply the necessary environment variables to the systemd unit, restart the service with user consent, and confirm the injection and tags are active.
“My service isn't showing up correctly in APM, can you check the SSI configuration?”
The agent will inspect the host for SSI readiness, check for conflicting manual tracers, and verify if the required environment variables are present in the process environment.

Install

  1. Download the skill as a ZIP:

    https://autogineer.com/agent-skills/datadog-labs/enable-ssi/download
  2. Unzip it into the cross-client skills folder of your project:

    mkdir -p .agents/skills && unzip enable-ssi.zip -d .agents/skills

Documentation by datadog-labs

Configure SSI and Unified Service Tags on Linux

Before doing anything else: Fully resolve all variables in ## Context to resolve before acting. Do not begin Step 0 until every variable has a concrete value.

Triggers

Invoke this skill when:

  • The Datadog Agent is already installed with SSI (DD_APM_INSTRUMENTATION_ENABLED=host was used) and you need to configure Unified Service Tags on the application service

  • The user wants to set DD_SERVICE, DD_ENV, DD_VERSION on a running service

  • SSI is installed but /proc/<pid>/maps doesn't show the language tracer (launcher-only injection)

Do NOT invoke this skill if:

  • The Datadog Agent is not yet installed — run agent-install first

  • SSI packages are missing from /opt/datadog-packages/ — re-run agent-install

  • The target is a Kubernetes cluster — use enable-ssi at dd-apm/k8s-ssi/enable-ssi instead


Background

When the install script runs with DD_APM_INSTRUMENTATION_ENABLED=host, it:

  1. Installs datadog-apm-inject and language library packages under /opt/datadog-packages/

  2. Writes the launcher path into /etc/ld.so.preload

  3. SSI is now armed — every new process on the host gets the launcher injected at startup

What SSI does NOT configure automatically:

  • DD_SERVICE, DD_ENV, DD_VERSION — these must be set on the application process for traces to be tagged correctly

  • Without DD_SERVICE, the tracer auto-detects a service name (often the process name or framework name), which may not match what the user expects


Prerequisites

Verify SSI is armed:

Claude runs
ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> \
  "cat /etc/ld.so.preload && ls /opt/datadog-packages/ | grep apm"

If /etc/ld.so.preload contains a path to the launcher, and /opt/datadog-packages/datadog-apm-inject exists — SSI is armed.

ERROR: Either missing — run agent-install first.

Check for existing manual instrumentation:

Claude runs
ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> "
grep -r 'import ddtrace\|from ddtrace\|require .dd-trace.\|opentelemetry' <SOURCE_DIR> 2>/dev/null | head -5 || echo 'No manual instrumentation found'
"

ERROR: Manual instrumentation found — SSI silently disables itself when it detects an existing tracer. Remove the manual import/package before proceeding.

Check base libc:

Claude runs
ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> \
  "ldd --version 2>&1 | head -1"

ERROR: musl — SSI requires glibc. No workaround; must use a glibc-based OS.


Context to resolve before acting

VariableHow to resolve
SERVICE_NAMEAsk the user — how the service should appear in Datadog APM (e.g. payment-api)
ENVAsk the user — environment name (e.g. production, staging, dev)
VERSIONAsk the user or read from the app's version file / git tag
SYSTEMD_SERVICE_NAMEFrom systemctl list-units --type=service --state=running on the host — the unit running the app
SSH_KEYPath to SSH private key
SSH_USERSSH username
SSH_HOSTHostname or IP of the target host

Step 0 (Only if existing instrumentation detected): Remove Manual Instrumentation

  • Python: pip uninstall ddtrace, remove import ddtrace / ddtrace-run from CMD

  • Node.js: npm uninstall dd-trace, remove require('dd-trace')

  • Java: remove -javaagent:/path/to/dd-java-agent.jar JVM flag

  • Ruby: gem uninstall ddtrace, remove require 'ddtrace'

  • .NET: remove Datadog.Trace NuGet and profiler env vars

After removing, restart the service. Confirm with the user before restarting. Tell the user: "I need to restart <SYSTEMD_SERVICE_NAME> to remove the old instrumentation. This will cause a brief outage. Ready to proceed?" Wait for confirmation.


Step 1: Set Unified Service Tags on the Application Process

Without UST, traces arrive with an auto-detected service name that may not match user expectations, and won't be tagged with env or version.

For systemd-managed services (most common):

Claude runs
ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> \
  "sudo systemctl cat <SYSTEMD_SERVICE_NAME>"

Add a drop-in override (preserves the original unit file):

What you need to do in a terminal
ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST>
sudo systemctl edit <SYSTEMD_SERVICE_NAME>

Add to the editor:

[Service]
Environment="DD_SERVICE=<SERVICE_NAME>"
Environment="DD_ENV=<ENV>"
Environment="DD_VERSION=<VERSION>"

Apply:

Claude runs
ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> \
  "sudo systemctl daemon-reload && sudo systemctl show <SYSTEMD_SERVICE_NAME> | grep -E 'DD_SERVICE|DD_ENV|DD_VERSION|DD_DATA_STREAMS_ENABLED'"

If the UST vars appear in the output — configuration applied.

For supervisord:

# In [program:<name>] section of supervisord.conf
environment=DD_SERVICE="<SERVICE_NAME>",DD_ENV="<ENV>",DD_VERSION="<VERSION>"

Reload: sudo supervisorctl reload

For pm2:

// ecosystem.config.js
env: { DD_SERVICE: "<SERVICE_NAME>", DD_ENV: "<ENV>", DD_VERSION: "<VERSION>" }

Reload: pm2 reload <app>


Step 1b: Check for Event-Driven Services

Skip this step entirely in an eval cluster (kind cluster name contains "evalya") or when running non-interactively: run nothing, ask nothing, and continue to the next step.

Otherwise, read the ## Is DSM a fit? section of .claude/skills/dd-apm/enable-dsm/SKILL.md and run its detection command.

  • Fit found (messaging client, broker, queue-triggered Lambda, or the user describes services handing work to each other asynchronously) → follow enable-dsm. It asks the user once, states the plan rule, and makes the config change without restarting.

  • No fit → skip. Do not mention DSM.

If the user agrees, enable-dsm adds its variable to the drop-in from Step 1, so the restart in Step 2 picks up both.


Step 2: Restart the Service

Confirm with the user before restarting. Tell the user: "I need to restart <SYSTEMD_SERVICE_NAME> for SSI to inject into it. This will cause a brief outage. Ready to proceed?" Wait for confirmation.

Claude runs
ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> \
  "sudo systemctl restart <SYSTEMD_SERVICE_NAME> && sleep 3 && sudo systemctl is-active <SYSTEMD_SERVICE_NAME>"

If active is returned — service is running.

ERROR: Returns failed — check logs:

ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> \
  "sudo journalctl -u <SYSTEMD_SERVICE_NAME> --since '1 minute ago' | tail -30"

Step 3: Confirm Injection and UST in the Running Process

Claude runs
ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> \
  "pgrep -a -f '<SERVICE_NAME>' | head -3"

Use the PID:

# Authoritative injection check
ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> \
  "sudo cat /proc/<PID>/maps | grep -E 'launcher|apm-library|datadog'"

# UST vars in process environment
ssh -o StrictHostKeyChecking=no -i <SSH_KEY> <SSH_USER>@<SSH_HOST> \
  "sudo cat /proc/<PID>/environ | tr '\0' '\n' | grep -E 'DD_SERVICE|DD_ENV|DD_VERSION|DD_DATA_STREAMS_ENABLED'"

If both the launcher and language library appear in maps, and UST vars are in environ (plus DD_DATA_STREAMS_ENABLED=true if DSM was enabled in Step 1b), SSI and tagging are fully configured.

ERROR: Launcher in maps but no language library — injection attempted but failed. Run:

pup apm troubleshooting list --hostname <DD_HOSTNAME> --timeframe 15m

Go to troubleshoot-ssi if errors are present.


Done

Exit when ALL of the following are true:

  • [ ] Launcher and language library visible in /proc/<PID>/maps

  • [ ] DD_SERVICE, DD_ENV, DD_VERSION present in /proc/<PID>/environ

  • [ ] Service is running and healthy

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


Security constraints

  • Never write a raw API key into any file or chat message

  • Always confirm with the user before restarting production services

  • Do not modify application source code — configure only via environment variables in the service unit

Files

LICENSE

MIT License

Copyright (c) 2026, Datadog <[email protected]>

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

Requirements and compatibility

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Needs: Needs an API key

Security

What our scanner noticed· Low risk

  • Phrasing that asks for actions without confirmation

A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.

Attribution and licence

Created by
datadog-labs
Publisher
Datadog (Official)
Source
datadog-labs/agent-skills · dd-apm/linux-ssi/enable-ssi · commit 8e1306a
Licence
MIT License (redistribution allowed)
  • LICENSE (added by AutoGineer from LICENSE)
  • ATTRIBUTION.md (written by AutoGineer)
Synced

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Download ZIP

The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download enable-ssi.zip