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Datadog Agent CLI — datadog-agent and Windows agent.exe with examples

This guide covers the Datadog Agent command-line interface for:

Linux/macOS: datadog-agent
Windows:     agent.exeCode language: HTTP (http)

The Datadog Agent CLI is subcommand-based. Datadog’s current Agent command documentation says the general syntax is:

<AGENT_BINARY> <SUB_COMMAND> <OPTIONS>Code language: HTML, XML (xml)

and recommends using:

<AGENT_BINARY> --help
<AGENT_BINARY> <SUB_COMMAND> --helpCode language: HTML, XML (xml)

to see the exact options supported by your installed Agent version. This matters because a few flags can differ between Agent versions and platforms.


1. Quick answer: executable names

PlatformCLI executableTypical command
Linuxdatadog-agentsudo datadog-agent status
macOSdatadog-agentdatadog-agent status
Windowsagent.exeagent.exe status

On Windows, Datadog documents that the main executable name is agent.exe, and commands should be run from an elevated PowerShell or Command Prompt using <PATH_TO_AGENT.EXE> <COMMAND>.


2. Common executable locations

Linux

Common command:

sudo datadog-agent status

Common binary/symlink locations:

/usr/bin/datadog-agent
/opt/datadog-agent/bin/agent/agent

Useful check:

which datadog-agent

Linux Agent service commands are usually managed through systemctl. Datadog’s Linux documentation lists sudo systemctl start|stop|restart|status datadog-agent, plus sudo datadog-agent status, sudo datadog-agent flare, and sudo datadog-agent --help.


macOS

Common command:

datadog-agent status

Common paths:

/usr/local/bin/datadog-agent
/opt/datadog-agent/bin/agent/agent

Datadog’s macOS documentation says the Agent is installed under /opt/datadog-agent by default, and lists commands such as datadog-agent status, datadog-agent flare, datadog-agent --help, and datadog-agent check <CHECK_NAME>.


Windows

PowerShell:

& "$env:ProgramFiles\Datadog\Datadog Agent\bin\agent.exe" statusCode language: JavaScript (javascript)

Command Prompt:

"%ProgramFiles%\Datadog\Datadog Agent\bin\agent.exe" statusCode language: JavaScript (javascript)

Common path:

C:\Program Files\Datadog\Datadog Agent\bin\agent.exeCode language: CSS (css)

Datadog’s Windows docs show the same path and examples for status, launch-gui, and flare.


3. Configuration file locations

Before learning CLI commands, students should know where the Agent reads configuration from.

PlatformMain config file
Linux/etc/datadog-agent/datadog.yaml
macOS~/.datadog-agent/datadog.yaml in the generic config docs; macOS platform docs also describe /opt/datadog-agent as the default install location
Windows%ProgramData%\Datadog\datadog.yaml

Integration configs live under conf.d. For Linux this is /etc/datadog-agent/conf.d/, and for Windows it is %ProgramData%\Datadog\conf.d. Datadog also notes that each integration usually has a <CHECK_NAME>.d/conf.yaml file, and conf.yaml.example can be renamed to conf.yaml to enable that check.


4. Agent service control vs Agent CLI

Do not confuse these two:

Service management

Used to start/stop/restart the Agent process.

Examples:

sudo systemctl restart datadog-agent
Restart-Service DatadogAgent

Agent CLI

Used to inspect, test, troubleshoot, diagnose, or collect support data.

Examples:

sudo datadog-agent status
sudo datadog-agent configcheck
sudo datadog-agent check apache
sudo datadog-agent flare

Mental model:

systemctl / launchctl / Windows Service Manager
    = control the Agent service

datadog-agent / agent.exe
    = ask the Agent questions or run diagnostics

5. Linux service commands

Start Agent

sudo systemctl start datadog-agent

Use when:

Agent is installed but not running.

Stop Agent

sudo systemctl stop datadog-agent

Use when:

You need to temporarily stop metric/log/trace collection.

Restart Agent

sudo systemctl restart datadog-agent

Use after editing:

/etc/datadog-agent/datadog.yaml
/etc/datadog-agent/conf.d/<integration>.d/conf.yamlCode language: HTML, XML (xml)

Check service status

sudo systemctl status datadog-agent

Use when:

You want to confirm the Linux service is running.

Datadog’s Linux docs also note that older upstart-based systems such as CentOS/RHEL 6 or SUSE 11 use older service-style commands instead of systemctl.


6. macOS service commands

Start Agent

launchctl start com.datadoghq.agentCode language: CSS (css)

Stop Agent

launchctl stop com.datadoghq.agentCode language: CSS (css)

Restart Agent

launchctl stop com.datadoghq.agent
launchctl start com.datadoghq.agentCode language: CSS (css)

Check service status

launchctl list com.datadoghq.agentCode language: CSS (css)

Datadog’s macOS docs list these launchctl commands and also mention that the systray app can be used.


7. Windows service commands

Datadog’s Windows docs say the Agent execution is controlled by the Windows Service Control Manager, and the service is named DatadogAgent.

PowerShell

Get-Service DatadogAgent
Start-Service DatadogAgent
Stop-Service DatadogAgent
Restart-Service DatadogAgent

Command Prompt

sc query DatadogAgent
net start DatadogAgent
net stop DatadogAgent

Datadog Agent CLI service commands

Datadog also documents Windows-only Agent CLI service commands:

& "$env:ProgramFiles\Datadog\Datadog Agent\bin\agent.exe" start-service
& "$env:ProgramFiles\Datadog\Datadog Agent\bin\agent.exe" restart-service
& "$env:ProgramFiles\Datadog\Datadog Agent\bin\agent.exe" stopserviceCode language: JavaScript (javascript)

Note the spelling:

stopservice

not:

stop-service

Datadog’s Windows command list includes restart-service, start-service, and stopservice.


8. Officially documented Agent CLI subcommands

Datadog’s Agent Commands page lists these subcommands:

check
config
configcheck
diagnose
flare
health
help
hostname
import
jmx
launch-gui
restart-service
start-service
stream-logs
stopservice
versionCode language: JavaScript (javascript)

Windows docs additionally list:

run
start
status

with start marked as being deprecated but still accepted, and run preferred.


9. CLI syntax by platform

Linux

sudo datadog-agent <subcommand> [options]Code language: HTML, XML (xml)

Example:

sudo datadog-agent status

For checks, Datadog recommends running as the dd-agent user:

sudo -u dd-agent -- datadog-agent check <CHECK_NAME>Code language: HTML, XML (xml)

Datadog’s Agent check troubleshooting docs show sudo -u dd-agent datadog-agent check <CHECK_NAME> and mention --check-rate when rate metrics should be included.


macOS

datadog-agent <subcommand> [options]Code language: HTML, XML (xml)

Example:

datadog-agent status

Windows PowerShell

& "$env:ProgramFiles\Datadog\Datadog Agent\bin\agent.exe" <command> [options]Code language: HTML, XML (xml)

Example:

& "$env:ProgramFiles\Datadog\Datadog Agent\bin\agent.exe" statusCode language: JavaScript (javascript)

Windows Command Prompt

"%ProgramFiles%\Datadog\Datadog Agent\bin\agent.exe" <command> [options]Code language: CSS (css)

Example:

"%ProgramFiles%\Datadog\Datadog Agent\bin\agent.exe" statusCode language: JavaScript (javascript)

10. status

Purpose

Shows the current status of the running Agent and enabled integrations.

Use this when:

You want to confirm the Agent is healthy.
You want to see which checks are running.
You want to see integration errors.
You want to verify logs/APM/process/network components.

Datadog’s Agent Commands page says status displays the status of the Datadog Agent and enabled integrations, and a properly configured integration appears under Running Checks with no warnings or errors.


Linux

sudo datadog-agent status

macOS

datadog-agent status

Windows PowerShell

& "$env:ProgramFiles\Datadog\Datadog Agent\bin\agent.exe" statusCode language: JavaScript (javascript)

Windows Command Prompt

"%ProgramFiles%\Datadog\Datadog Agent\bin\agent.exe" statusCode language: JavaScript (javascript)

Useful options

The current Agent source for status documents these options:

OptionMeaning
status [section]Show only a specific status section
--list, -lList available status sections
--json, -jPrint raw JSON
--pretty-json, -pPretty-print JSON
--file, -oWrite status output to file
--verbose, -vPrint verbose status

The source package implements status [section], says --list lists available status sections, and defines flags such as --json, --pretty-json, --file, --verbose, and --list.


Examples

Show full Agent status

sudo datadog-agent status

List status sections

sudo datadog-agent status --listCode language: PHP (php)

Show collector section only

sudo datadog-agent status collector

Save status to a file

sudo datadog-agent status --file /tmp/datadog-agent-status.txt

Output JSON

sudo datadog-agent status --json

Pretty JSON

sudo datadog-agent status --pretty-json

Practical use case

After enabling Apache integration:

sudo systemctl restart datadog-agent
sudo datadog-agent status

Look for:

Running Checks
==============
apache

If the check appears under errors/warnings, use:

sudo datadog-agent check apache
sudo datadog-agent configcheck

11. check

Purpose

Runs one Agent integration check manually.

Use this when:

You configured an integration and want to test it immediately.
You want to troubleshoot why a check is not collecting metrics.
You want to validate config before waiting for Agent collection interval.

Datadog’s troubleshooting guide says to use datadog-agent check <CHECK_NAME> to get more troubleshooting information for an Agent check. It also says to replace <CHECK_NAME> with the check name, for example activemq, ceph, or elastic.


Syntax

Linux:

sudo -u dd-agent -- datadog-agent check <CHECK_NAME>Code language: HTML, XML (xml)

macOS:

datadog-agent check <CHECK_NAME>Code language: HTML, XML (xml)

Windows PowerShell:

& "$env:ProgramFiles\Datadog\Datadog Agent\bin\agent.exe" check <CHECK_NAME>Code language: HTML, XML (xml)

Windows Command Prompt:

"%ProgramFiles%\Datadog\Datadog Agent\bin\agent.exe" check <CHECK_NAME>Code language: HTML, XML (xml)

Common option

OptionPurpose
--check-rateInclude rate metrics in the check output

Datadog documents --check-rate as an option when rate metrics should be included.


Examples

Test Apache integration

sudo -u dd-agent -- datadog-agent check apache

Test systemd integration

sudo -u dd-agent -- datadog-agent check systemd

Test process integration

sudo -u dd-agent -- datadog-agent check process

Include rate metrics

sudo -u dd-agent -- datadog-agent check apache --check-rate

How to know the check name

The check name usually matches the integration folder:

/etc/datadog-agent/conf.d/apache.d/

So the check name is:

apache

Example:

sudo -u dd-agent -- datadog-agent check apache

Practical use case

You edited:

/etc/datadog-agent/conf.d/apache.d/conf.yaml

Then run:

sudo -u dd-agent -- datadog-agent check apache

If successful, restart Agent:

sudo systemctl restart datadog-agent

Then verify:

sudo datadog-agent status

12. configcheck

Purpose

Prints the configurations loaded and resolved by the running Agent.

Use this when:

You want to confirm which integration config the Agent actually loaded.
You want to verify Autodiscovery config.
You want to troubleshoot wrong YAML, duplicate config, or wrong file path.
You want to see final resolved config after templates/secrets/env vars.Code language: PHP (php)

Datadog’s Agent Commands page describes configcheck as printing all loaded and resolved configurations of a running Agent.


Syntax

Linux:

sudo datadog-agent configcheck

macOS:

datadog-agent configcheck

Windows PowerShell:

& "$env:ProgramFiles\Datadog\Datadog Agent\bin\agent.exe" configcheckCode language: JavaScript (javascript)

Examples

Print all loaded configs

sudo datadog-agent configcheck

Search for Apache config

sudo datadog-agent configcheck | grep -A 30 apache

Save configcheck output

sudo datadog-agent configcheck > /tmp/datadog-configcheck.txtCode language: JavaScript (javascript)

Practical use case

You added:

/etc/datadog-agent/conf.d/apache.d/conf.yaml

but Apache metrics do not appear. Run:

sudo datadog-agent configcheck

If Apache is missing, the Agent did not load the config. Check:

File name
YAML indentation
conf.d path
File permissionsCode language: CSS (css)

13. diagnose

Purpose

Runs connectivity and system diagnostics.

Use this when:

The Agent is installed but data is not reaching Datadog.
You suspect proxy, DNS, firewall, TLS, or endpoint connectivity issue.
You want a fast local diagnostic before opening a support case.Code language: JavaScript (javascript)

Datadog lists diagnose as the command that executes connectivity diagnosis on the system.


Syntax

Linux:

sudo datadog-agent diagnose

macOS:

datadog-agent diagnose

Windows PowerShell:

& "$env:ProgramFiles\Datadog\Datadog Agent\bin\agent.exe" diagnoseCode language: JavaScript (javascript)

Examples

Run full diagnosis

sudo datadog-agent diagnose

Save output

sudo datadog-agent diagnose > /tmp/datadog-diagnose.txtCode language: JavaScript (javascript)

Practical use case

If Agent status shows API connectivity errors:

sudo datadog-agent status
sudo datadog-agent diagnose

Check:

DNS resolution
Proxy settings
TLS errors
Datadog intake reachability
Site settingCode language: JavaScript (javascript)

14. flare

Purpose

Collects logs, configuration, status, and diagnostic data into a support bundle and can send it to Datadog Support.

Use this when:

Datadog Support asks for a flare.
You need to collect local Agent troubleshooting data.
You have persistent Agent issues.

Datadog’s flare docs say the flare command collects data, can use a support case ID, and asks for the email address associated with the case.


Syntax

Linux:

sudo datadog-agent flare

With support case ID:

sudo datadog-agent flare <CASE_ID>Code language: HTML, XML (xml)

macOS:

datadog-agent flare
datadog-agent flare <CASE_ID>Code language: HTML, XML (xml)

Windows PowerShell:

& "$env:ProgramFiles\Datadog\Datadog Agent\bin\agent.exe" flare
& "$env:ProgramFiles\Datadog\Datadog Agent\bin\agent.exe" flare <CASE_ID>Code language: JavaScript (javascript)

Kubernetes examples

Basic Agent pod:

kubectl exec -it <AGENT_POD_NAME> -- agent flare <CASE_ID>Code language: HTML, XML (xml)

Agent container in multi-container pod:

kubectl exec -it <AGENT_POD_NAME> -c agent -- agent flare <CASE_ID>Code language: HTML, XML (xml)

Process Agent container:

kubectl exec -it <AGENT_POD_NAME> -c process-agent -- agent flare <CASE_ID> --localCode language: HTML, XML (xml)

Trace Agent container:

kubectl exec -it <AGENT_POD_NAME> -c trace-agent -- agent flare <CASE_ID> --localCode language: HTML, XML (xml)

Datadog documents these dedicated-container flare commands and notes that system-probe cannot send a flare, so container logs should be collected instead.


Practical use case

Support asks:

Please send an Agent flare for case 123456.Code language: JavaScript (javascript)

Run:

sudo datadog-agent flare 123456

15. health

Purpose

Prints the current Agent health.

Use this when:

You want a quick health check.
You want automation to check whether the Agent internals are healthy.
You do not need the full status output.Code language: JavaScript (javascript)

Datadog’s Agent command list describes health as printing the current Agent health.


Syntax

Linux:

sudo datadog-agent health

macOS:

datadog-agent health

Windows:

& "$env:ProgramFiles\Datadog\Datadog Agent\bin\agent.exe" healthCode language: JavaScript (javascript)

Practical use case

Use this in a troubleshooting script:

sudo datadog-agent health || echo "Agent health check failed"Code language: PHP (php)

16. hostname

Purpose

Prints the hostname used by the Agent.

Use this when:

Host is missing in Datadog.
Duplicate hosts appear.
Wrong hostname appears in dashboards.
You want to confirm what hostname the Agent reports.

Datadog’s Agent Commands page describes hostname as printing the hostname used by the Agent.


Syntax

Linux:

sudo datadog-agent hostname

macOS:

datadog-agent hostname

Windows:

& "$env:ProgramFiles\Datadog\Datadog Agent\bin\agent.exe" hostnameCode language: JavaScript (javascript)

Practical use case

Your Datadog UI shows host:

ip-10-0-1-25

but you expected:

web-prod-01

Check locally:

sudo datadog-agent hostname

Then review:

hostname:

inside:

/etc/datadog-agent/datadog.yaml

17. version

Purpose

Prints Datadog Agent version information.

Use this when:

You need to confirm Agent version.
You are checking compatibility.
You are troubleshooting support issues.
You want to verify upgrade success.

Datadog’s Agent Commands page lists version as printing version information.


Syntax

Linux:

datadog-agent version

macOS:

datadog-agent version

Windows:

& "$env:ProgramFiles\Datadog\Datadog Agent\bin\agent.exe" versionCode language: JavaScript (javascript)

Practical use case

Before and after upgrade:

datadog-agent version
sudo apt-get install datadog-agent
datadog-agent versionCode language: JavaScript (javascript)

18. config

Purpose

Runtime configuration management.

Use this when:

You want to inspect runtime-configurable Agent settings.
You want to temporarily change a runtime setting.
You want to adjust log level without permanently editing datadog.yaml.Code language: CSS (css)

Datadog’s Agent command list describes config as runtime configuration management.


Common examples

List runtime-configurable settings

sudo datadog-agent config list-runtimeCode language: PHP (php)

Get current log level

sudo datadog-agent config get log_levelCode language: JavaScript (javascript)

Temporarily set debug logging

sudo datadog-agent config set log_level debugCode language: JavaScript (javascript)

Restore normal logging

sudo datadog-agent config set log_level infoCode language: JavaScript (javascript)

Important warning

Runtime config changes are generally for troubleshooting and may not persist forever like editing datadog.yaml.

For permanent config, edit:

/etc/datadog-agent/datadog.yaml

then restart:

sudo systemctl restart datadog-agent

19. stream-logs

Purpose

Streams logs being processed by a running Agent.

Use this when:

You enabled log collection but logs are not visible in Datadog.
You want to verify the Agent is tailing a file.
You want to inspect logs before they are sent upstream.

Datadog’s Agent command list describes stream-logs as streaming logs being processed by a running Agent.


Syntax

Linux:

sudo datadog-agent stream-logs

macOS:

datadog-agent stream-logs

Windows:

& "$env:ProgramFiles\Datadog\Datadog Agent\bin\agent.exe" stream-logsCode language: JavaScript (javascript)

Practical use case

You configured Apache log collection:

logs:
  - type: file
    path: /var/log/apache2/access.log
    service: apache
    source: apacheCode language: JavaScript (javascript)

Then run:

sudo systemctl restart datadog-agent
sudo datadog-agent stream-logs

Generate test traffic:

curl http://localhost/Code language: JavaScript (javascript)

If logs stream locally but do not appear in Datadog, suspect:

Datadog intake connectivity
wrong site
index/exclusion filter
logs pipeline issue

If logs do not stream locally, suspect:

wrong file path
file permissions
logs_enabled not true
bad conf.yaml
Agent not restartedCode language: JavaScript (javascript)

20. launch-gui

Purpose

Starts the Datadog Agent GUI / Agent Manager.

Use this when:

You are on Windows or macOS and want GUI-based Agent inspection.
You want to view status, configure checks, or inspect Agent state.

Datadog’s Windows docs describe the configuration GUI as a browser-based configuration application and show launch-gui examples.


Windows PowerShell

& "$env:ProgramFiles\Datadog\Datadog Agent\bin\agent.exe" launch-guiCode language: JavaScript (javascript)

Windows Command Prompt

"%ProgramFiles%\Datadog\Datadog Agent\bin\agent.exe" launch-guiCode language: JavaScript (javascript)

macOS

datadog-agent launch-gui

21. jmx

Purpose

JMX troubleshooting.

Use this when:

You monitor Java applications.
You configured JMX-based integrations.
You need to troubleshoot JMX bean/metric collection.

Datadog’s command list describes jmx as JMX troubleshooting.


Syntax

sudo datadog-agent jmx --help

Then run the specific subcommand shown by your Agent version.


Practical use case

For Kafka, Cassandra, Tomcat, ActiveMQ, or JVM-based apps:

sudo datadog-agent jmx --help
sudo datadog-agent check kafka

Use JMX troubleshooting when:

JMX port is wrong.
Authentication is wrong.
Bean patterns are wrong.
Metrics are missing.

22. import

Purpose

Imports and converts configuration files from previous Agent versions.

Use this when:

You are migrating older Datadog Agent configuration.
You need to convert legacy Agent config into newer format.

Datadog’s command list describes import as importing and converting configuration files from previous versions of the Agent.


Syntax

datadog-agent import --helpCode language: JavaScript (javascript)

Use this only during migration scenarios. For normal Agent usage, students usually do not need it.


23. help

Purpose

Shows help.

Use this when:

You want to see supported commands.
You want exact flags for your installed Agent version.

Examples

Show global help

datadog-agent --help

Show check help

datadog-agent check --help

Show status help

datadog-agent status --help

Windows

& "$env:ProgramFiles\Datadog\Datadog Agent\bin\agent.exe" --help
& "$env:ProgramFiles\Datadog\Datadog Agent\bin\agent.exe" check --helpCode language: JavaScript (javascript)

Datadog explicitly recommends <AGENT_BINARY> --help to see available subcommands and <AGENT_BINARY> check --help to inspect the options for a specific subcommand.


24. Windows-only commands

Datadog’s Windows command table lists these Windows service-related commands.

start-service

Starts the Agent service through Windows Service Control Manager.

& "$env:ProgramFiles\Datadog\Datadog Agent\bin\agent.exe" start-serviceCode language: JavaScript (javascript)

Use when:

DatadogAgent service is stopped.

restart-service

Restarts the Agent service through Windows Service Control Manager.

& "$env:ProgramFiles\Datadog\Datadog Agent\bin\agent.exe" restart-serviceCode language: JavaScript (javascript)

Use after editing:

C:\ProgramData\Datadog\datadog.yaml
C:\ProgramData\Datadog\conf.d\<integration>.d\conf.yamlCode language: CSS (css)

stopservice

Stops the Agent service through Windows Service Control Manager.

& "$env:ProgramFiles\Datadog\Datadog Agent\bin\agent.exe" stopserviceCode language: JavaScript (javascript)

Use when:

You need to stop the Agent temporarily.

run

Starts the Agent.

& "$env:ProgramFiles\Datadog\Datadog Agent\bin\agent.exe" runCode language: JavaScript (javascript)

Use mostly for manual foreground execution or troubleshooting, not typical production service control.


start

Being deprecated, but accepted. Use run instead.

& "$env:ProgramFiles\Datadog\Datadog Agent\bin\agent.exe" startCode language: JavaScript (javascript)

Datadog’s Windows docs say start is being deprecated but accepted, and run should be used as an alternative.


25. Debug mode workflow

For troubleshooting, a common workflow is:

sudo datadog-agent config set log_level debug
sudo systemctl restart datadog-agent
sudo datadog-agent status
sudo datadog-agent flare
sudo datadog-agent config set log_level info
sudo systemctl restart datadog-agentCode language: JavaScript (javascript)

But be careful: debug logs can be noisy.

Use debug mode when:

Agent is not collecting expected data.
Datadog Support asks for debug-level logs.
You need deeper troubleshooting temporarily.

Do not leave debug mode enabled in production longer than needed.


26. Logs location

Linux

Common Agent log directory:

/var/log/datadog/Code language: JavaScript (javascript)

Common log file:

/var/log/datadog/agent.logCode language: JavaScript (javascript)

Windows

Datadog’s Windows docs state Agent logs are located at:

C:\ProgramData\Datadog\logs\agent.logCode language: CSS (css)

and note that ProgramData is hidden.

macOS

Common log directory:

/var/log/datadog/Code language: JavaScript (javascript)

27. Practical lab: troubleshoot an Apache integration

Scenario

Apache metrics/logs are not visible in Datadog.

Step 1: Check Agent service

Linux:

sudo systemctl status datadog-agent

Step 2: Check Agent status

sudo datadog-agent status

Look for:

Running Checks
apache

Step 3: Check loaded configuration

sudo datadog-agent configcheck

Search for Apache:

sudo datadog-agent configcheck | grep -A 40 apache

Step 4: Run Apache check manually

sudo -u dd-agent -- datadog-agent check apache

Step 5: Stream logs locally

sudo datadog-agent stream-logs

Generate traffic:

curl http://localhost/Code language: JavaScript (javascript)

Step 6: Run diagnosis

sudo datadog-agent diagnose

Step 7: Send flare if needed

sudo datadog-agent flare <CASE_ID>Code language: HTML, XML (xml)

28. Practical lab: troubleshoot wrong hostname

Scenario

Datadog UI shows duplicate or unexpected hostnames.

Commands

sudo datadog-agent hostname
sudo datadog-agent status
sudo datadog-agent configcheck

Check config:

sudo grep -n "hostname" /etc/datadog-agent/datadog.yamlCode language: JavaScript (javascript)

Fix if needed:

hostname: web-prod-01Code language: HTTP (http)

Restart:

sudo systemctl restart datadog-agent

Validate:

sudo datadog-agent hostname

29. Practical lab: troubleshoot logs not appearing

Scenario

Linux/Apache logs are configured but not visible in Datadog.

Step 1: Confirm log collection enabled

sudo grep -n "logs_enabled" /etc/datadog-agent/datadog.yamlCode language: JavaScript (javascript)

Expected:

logs_enabled: trueCode language: JavaScript (javascript)

Step 2: Check integration log config

sudo cat /etc/datadog-agent/conf.d/apache.d/conf.yaml

Example:

logs:
  - type: file
    path: /var/log/apache2/access.log
    source: apache
    service: apacheCode language: JavaScript (javascript)

Step 3: Restart Agent

sudo systemctl restart datadog-agent

Step 4: Stream logs

sudo datadog-agent stream-logs

Step 5: Check Agent status

sudo datadog-agent status

Look for log collection sections.


30. Practical lab: collect support data

Scenario

You cannot solve the issue and need Datadog Support.

Commands

sudo datadog-agent status > /tmp/dd-status.txt
sudo datadog-agent configcheck > /tmp/dd-configcheck.txt
sudo datadog-agent diagnose > /tmp/dd-diagnose.txt
sudo datadog-agent flare <CASE_ID>Code language: JavaScript (javascript)

If Kubernetes:

kubectl exec -it <AGENT_POD_NAME> -c agent -- agent status
kubectl exec -it <AGENT_POD_NAME> -c agent -- agent configcheck
kubectl exec -it <AGENT_POD_NAME> -c agent -- agent flare <CASE_ID>Code language: HTML, XML (xml)

31. Complete CLI command reference table

CommandLinux/macOS exampleWindows exampleUse case
statussudo datadog-agent statusagent.exe statusShow Agent/integration status
status --listsudo datadog-agent status --listagent.exe status --listList status sections
status collectorsudo datadog-agent status collectoragent.exe status collectorShow one status section
checksudo -u dd-agent -- datadog-agent check apacheagent.exe check apacheRun one integration check
check --check-ratedatadog-agent check apache --check-rateagent.exe check apache --check-rateInclude rate metrics
configchecksudo datadog-agent configcheckagent.exe configcheckShow resolved configs
diagnosesudo datadog-agent diagnoseagent.exe diagnoseConnectivity/system diagnostics
flaresudo datadog-agent flareagent.exe flareSupport bundle
healthsudo datadog-agent healthagent.exe healthQuick Agent health
hostnamesudo datadog-agent hostnameagent.exe hostnameShow reported hostname
versiondatadog-agent versionagent.exe versionShow Agent version
configdatadog-agent config list-runtimeagent.exe config list-runtimeRuntime config management
stream-logssudo datadog-agent stream-logsagent.exe stream-logsView logs processed by Agent
launch-guidatadog-agent launch-guiagent.exe launch-guiOpen GUI/Agent Manager
jmxdatadog-agent jmx --helpagent.exe jmx --helpJMX troubleshooting
importdatadog-agent import --helpagent.exe import --helpLegacy config migration
helpdatadog-agent --helpagent.exe --helpCLI help
start-serviceWindows onlyagent.exe start-serviceStart Windows service
restart-serviceWindows onlyagent.exe restart-serviceRestart Windows service
stopserviceWindows onlyagent.exe stopserviceStop Windows service
runMainly Windows documentedagent.exe runRun/start Agent
startDeprecated Windows aliasagent.exe startDeprecated; use run

32. Student cheat sheet

Linux

sudo systemctl status datadog-agent
sudo systemctl restart datadog-agent

sudo datadog-agent status
sudo datadog-agent configcheck
sudo -u dd-agent -- datadog-agent check <CHECK_NAME>
sudo datadog-agent diagnose
sudo datadog-agent flare
sudo datadog-agent health
sudo datadog-agent hostname
datadog-agent versionCode language: HTML, XML (xml)

macOS

launchctl list com.datadoghq.agent
launchctl stop com.datadoghq.agent
launchctl start com.datadoghq.agent

datadog-agent status
datadog-agent configcheck
datadog-agent check <CHECK_NAME>
datadog-agent diagnose
datadog-agent flare
datadog-agent health
datadog-agent hostname
datadog-agent versionCode language: CSS (css)

Windows PowerShell

$Agent = "$env:ProgramFiles\Datadog\Datadog Agent\bin\agent.exe"

& $Agent status
& $Agent configcheck
& $Agent check <CHECK_NAME>
& $Agent diagnose
& $Agent flare
& $Agent health
& $Agent hostname
& $Agent version
& $Agent launch-gui
& $Agent restart-serviceCode language: PHP (php)

33. Best command order for troubleshooting

Use this order. It saves a lot of time.

1. Is the service running?
2. What does Agent status show?
3. Is my config loaded?
4. Does the check work manually?
5. Are logs being processed?
6. Can the Agent reach Datadog?
7. What hostname is being reported?
8. Collect flare if still unresolved.

Linux command flow:

sudo systemctl status datadog-agent
sudo datadog-agent status
sudo datadog-agent configcheck
sudo -u dd-agent -- datadog-agent check <CHECK_NAME>
sudo datadog-agent stream-logs
sudo datadog-agent diagnose
sudo datadog-agent hostname
sudo datadog-agent flareCode language: HTML, XML (xml)

34. Important note about “all options”

Datadog’s official docs intentionally point users to:

datadog-agent --help
datadog-agent <subcommand> --helpCode language: HTML, XML (xml)

because the exact flags can vary by:

Agent version
Operating system
Agent 6 vs Agent 7
package type
container vs host install
enabled components
experimental features

So the safest teaching rule for students is:

datadog-agent --help
datadog-agent status --help
datadog-agent check --help
datadog-agent flare --help
datadog-agent config --help

Windows:

& "$env:ProgramFiles\Datadog\Datadog Agent\bin\agent.exe" --help
& "$env:ProgramFiles\Datadog\Datadog Agent\bin\agent.exe" status --help
& "$env:ProgramFiles\Datadog\Datadog Agent\bin\agent.exe" check --helpCode language: JavaScript (javascript)

That is not a workaround; it is the officially recommended way to inspect version-specific CLI options.


35. Final mental model

Remember this:

status       = What is the Agent doing?
configcheck  = What config did the Agent load?
check        = Can this integration run successfully?
diagnose     = Can the Agent connect properly?
flare        = Collect support bundle.
health       = Is the Agent internally healthy?
hostname     = What host identity is Datadog using?
stream-logs  = Are logs being processed locally?
version      = What Agent version is installed?
config       = Runtime config management.Code language: JavaScript (javascript)

For day-to-day DevOps work, the most important commands are:

sudo datadog-agent status
sudo datadog-agent configcheck
sudo -u dd-agent -- datadog-agent check <CHECK_NAME>
sudo datadog-agent diagnose
sudo datadog-agent flareCode language: HTML, XML (xml)

For Windows:

& "$env:ProgramFiles\Datadog\Datadog Agent\bin\agent.exe" status
& "$env:ProgramFiles\Datadog\Datadog Agent\bin\agent.exe" configcheck
& "$env:ProgramFiles\Datadog\Datadog Agent\bin\agent.exe" check <CHECK_NAME>
& "$env:ProgramFiles\Datadog\Datadog Agent\bin\agent.exe" diagnose
& "$env:ProgramFiles\Datadog\Datadog Agent\bin\agent.exe" flareCode language: JavaScript (javascript)

This is the practical CLI toolkit every Datadog student/admin should know.


old content

CommandsDescriptions
datadog-agent check           Run the specified check
datadog-agent completion    Generate the autocompletion script for the specified shell
datadog-agent config    Print the runtime configuration of a running agent
datadog-agent configcheck  Print all configurations loaded & resolved of a running agent
datadog-agent diagnose     Check availability of cloud provider and container metadata endpoints
datadog-agent dogstatsd-captureStart a dogstatsd UDS traffic capture
datadog-agent dogstatsd-replayReplay dogstatsd traffic
datadog-agent dogstatsd-statsPrint basic statistics on the metrics processed by dogstatsd
datadog-agent flare         Collect a flare and send it to Datadog
datadog-agent health           Print the current agent health
datadog-agent help           Help about any command
datadog-agent hostname        Print the hostname used by the Agent
datadog-agent import           Import and convert configuration files from previous versions of the Agent
datadog-agent integration    Datadog integration manager
datadog-agent jmx            Run troubleshooting commands on JMXFetch integrations
datadog-agent launch-gui     starts the Datadog Agent GUI
datadog-agent run          Run the Agent
datadog-agent secret       Print information about decrypted secrets in configuration.
datadog-agent secret-helper   Secret management provider helper
datadog-agent snmp        Snmp tools
datadog-agent status      Print the current status
datadog-agent stop             Stops a running Agent
datadog-agent stream-logs     Stream the logs being processed by a running agent
datadog-agent tagger-list      Print the tagger content of a running agent
datadog-agent version  Print the version info
  workload-list Print the workload content of a running agent

datadog-agent check     


A Datadog Agent check is a plugin that collects data from a specific source and sends it to the Datadog Agent. These checks can be customized and configured to monitor various metrics and events related to your infrastructure and applications.


datadog-agent completion  

The datadog-agent completion command is used to generate shell completion scripts for the Datadog Agent command-line interface (CLI).

Shell completion allows you to save time and avoid typing errors by automatically completing command options, flags, and arguments as you type. When you run the datadog-agent completion command, it will output the completion script in the shell format that you specify as an argument, such as Bash, Zsh, or Fish.

Here are some use cases for the datadog-agent completion command:

  1. Completing commands and options: When you are working with the Datadog Agent CLI, you may find it time-consuming to type out all of the command options and flags. By using shell completion, you can quickly complete the options and flags as you type, saving time and reducing errors.
  2. Improving productivity: Shell completion can help you be more productive by completing commands and options quickly and accurately. You don’t have to remember all of the available options and flags, which can be especially helpful when you are using the CLI infrequently.
  3. Learning the Datadog Agent CLI: If you are new to the Datadog Agent CLI, using shell completion can help you learn the available options and flags more quickly. As you type, you can see the available options and flags, which can help you understand the capabilities of the CLI.

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Jason Mitchell
Jason Mitchell
9 days ago

The article serves as a useful command reference, but an important aspect that could be explored further is how these commands are leveraged in large-scale operational environments. In practice, teams often automate commands such as status, health, configcheck, and flare within runbooks, self-healing workflows, and CI/CD validation stages to identify observability issues before they affect production. It would also be beneficial to discuss strategies for handling Agent upgrades, monitoring configuration drift, and standardizing troubleshooting procedures across distributed teams to maintain consistent visibility as infrastructure grows in complexity. 

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