A masterless Puppet setup runs puppet apply locally on every Ubuntu node. Each node compiles and applies its own catalog from a local manifest, writes a report, and exits. There is no Puppet server to contact, so you must provide the code, modules, scheduling, reporting, and secrets distribution yourself.
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What “masterless Puppet” means
Masterless Puppet is not a smaller Puppet server. It is the direct use of Puppet’s standalone execution tool, puppet apply, against a manifest stored on the node. A run is foreground and one-shot: Puppet compiles a catalog, enforces the resources it contains, writes a report, and exits.
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By default, puppet apply does not initiate outbound network connections or accept inbound connections. That makes it useful for isolated hosts, appliances, development machines, and environments where each node must remain independently manageable. It also means that a successful design must solve several responsibilities normally handled by a primary Puppet server:
- Getting manifests and modules onto each node.
- Choosing when a run starts.
- Collecting reports and alerting on failures.
- Providing data and secrets required by the manifest.
- Keeping versions consistent across the fleet.
Check Ubuntu and architecture support first
Puppet’s current supported-agent table lists Ubuntu 22.04, 24.04, and 26.04 package targets. The table includes both x86_64 and ARM architectures for the listed releases. Match the Puppet package to both the Ubuntu release and the machine architecture; do not assume that a package built for one release is appropriate for another.
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Record the platform before installing:
. /etc/os-release
printf 'Ubuntu %sn' "$VERSION_ID"
uname -mUse Puppet’s current installation guidance to select the package repository or package file for that combination. In a controlled environment, pin the Puppet package version rather than allowing an unattended update to change the execution engine. Verify package signatures when that is required by your security or change-management policy.
Masterless versus a primary-server design
The following is an operational comparison of the two designs. It describes the consequences of local puppet apply runs rather than claiming that one model is universally better.
| Concern | Masterless execution | Primary-server design |
|---|---|---|
| Catalog compilation | Each node compiles its own catalog from local code and data. | A primary server normally compiles catalogs centrally for nodes. |
| Scheduling | You add cron, a systemd timer, CI, or another scheduler. | Scheduling and check-in behavior are normally coordinated by the Puppet service and its surrounding infrastructure. |
| Network exposure | A run does not require an inbound Puppet service and normally makes no outbound connection. | Nodes and the primary server need the network connectivity required for catalogs, reports, files, and other services. |
| Code distribution | Your Git, package, image, configuration-management, or removable-media process copies code to every node. | The primary server distributes or serves the environment to nodes. |
| Reporting | Reports remain local unless you forward logs or results yourself. | Central services can aggregate reports and node status. |
| Secrets | Every node needs access to the secret data required by its local run. | Secret retrieval and access can be centralized, subject to the design and security controls you choose. |
| Fleet scale | Simple for a small or disconnected fleet, but coordination work grows with every node. | More infrastructure, but shared orchestration and visibility are easier to standardize at larger scale. |
Install Puppet on each Ubuntu node
- Confirm the Ubuntu release and architecture using the commands above.
- Follow Puppet’s current installation instructions for that release and architecture.
- Install the package and any required dependencies.
- Verify that the executable is available:
puppet --versionIf the shell reports that puppet cannot be found, locate the installed binary with command -v puppet and use that absolute path in automation. Package layouts can differ, so do not hard-code a path until you have checked the node.
Pin the package version in the mechanism you use for updates. Keep the selected version recorded with the rest of the environment so that a node can be rebuilt reproducibly.
Create a local code environment
A conventional local tree keeps the environment recognizable to Puppet while making the manifest and modules easy to version together:
/etc/puppetlabs/code/
└── environments/
└── production/
├── manifests/
│ └── site.pp
└── modules/Create the directories with root ownership and restrictive permissions appropriate to the data stored there. Keep this tree in source control, then distribute a known revision to each node through your chosen Git, package, image, or file-transfer process. The same revision should be used wherever you expect identical behavior; deliberate exceptions should be visible in version control rather than edited only on a live host.
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puppet apply uses settings such as basemodulepath and the selected environment when locating code and data, but the main manifest is supplied on the command line or with -e. Supplying the manifest path explicitly is useful in a masterless setup because it makes the entry point obvious to both operators and schedulers.
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Install modules and understand modulepath order
Online nodes
For a node that can reach the Puppet Forge, the standard module command is:
puppet module install <author>-<module>The command installs the module and its dependencies into the first modulepath directory by default. Confirm where that directory is before assuming the module landed in your environment’s modules/ directory.
Offline nodes
An offline node cannot resolve dependencies from the Forge. Download the module release and every dependency on a connected build or staging system, transfer the tarballs to the node, and install them there. Test the complete dependency closure before moving the bundle to an isolated machine; copying only the top-level module commonly produces “module not found” errors during compilation.
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The --modulepath option overrides the environment modulepath for one command. On Unix, modulepath entries are colon-separated and ordered. If two directories contain a module with the same name, the earlier directory wins.
puppet apply
--modulepath=/etc/puppetlabs/code/environments/production/modules
/etc/puppetlabs/code/environments/production/manifests/site.ppAn explicit path prevents an older module in another environment or system-wide directory from silently taking precedence. Once the layout is stable, you can either retain the explicit option in automation or document the equivalent environment setting.
Write the main manifest
Save the following as /etc/puppetlabs/code/environments/production/manifests/site.pp:
package { 'nginx':
ensure => installed,
}
file { '/etc/motd':
ensure => file,
content => "Managed by masterless Puppetn",
}This example declares two resources. Puppet installs the nginx package if it is absent and ensures that /etc/motd is a file containing the specified text. Extend the manifest with classes, defined types, and module data as your environment grows, but keep the entry-point manifest easy to find and review.
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For a quick syntax or behavior experiment, you can provide an inline manifest with -e. For a maintainable node configuration, use a version-controlled file and pass its path to puppet apply.
Preview changes before enforcing them
Run a no-op first. It compiles the catalog and reports intended changes without enforcing them:
sudo puppet apply
--noop
--modulepath=/etc/puppetlabs/code/environments/production/modules
/etc/puppetlabs/code/environments/production/manifests/site.ppReview every proposed package, file, service, and command change. A no-op is especially important on a rebuilt node, after changing modulepath order, or when introducing a new module whose defaults may affect resources outside the immediate task.
When the preview is correct, run the same command without --noop:
sudo puppet apply
--modulepath=/etc/puppetlabs/code/environments/production/modules
/etc/puppetlabs/code/environments/production/manifests/site.ppUse detailed exit codes in automation
Add --detailed-exitcodes when a scheduler or CI job must distinguish “nothing changed” from “Puppet changed the node” and from an error:
sudo puppet apply
--detailed-exitcodes
--modulepath=/etc/puppetlabs/code/environments/production/modules
/etc/puppetlabs/code/environments/production/manifests/site.pp| Code | Meaning for automation | Typical handling |
|---|---|---|
| 0 | The run completed successfully and made no changes. | Healthy; record the run. |
| 2 | The run completed successfully and made changes. | Healthy; record what changed. |
| 1, 4, or 6 | An error condition occurred. The documented detailed-exitcode matrix uses these values for failure states; code 6 represents a run that both changed resources and encountered failures. | Alert, retain the output, and investigate before treating the node as compliant. |
Do not configure a scheduler that treats every nonzero result as identical. Code 2 is a successful convergence with changes, while the failure values require attention.
Schedule one-shot runs
Because puppet apply never runs as a daemon or service, an external scheduler must start it. Cron, a systemd timer, CI, an image-build pipeline, or an orchestration platform can all work. The scheduler should invoke the same manifest and modulepath you tested manually.
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A small wrapper avoids assumptions about where the package installed the executable:
#!/bin/sh
set -eu
PUPPET_BIN="$(command -v puppet)"
exec "$PUPPET_BIN" apply
--detailed-exitcodes
--modulepath=/etc/puppetlabs/code/environments/production/modules
/etc/puppetlabs/code/environments/production/manifests/site.ppInstall the wrapper with root ownership, restrict who can modify it, and have your scheduler call it at the interval appropriate for the node. Capture standard output and error in the host’s logging system. If the scheduler considers only exit code 0 successful, explicitly teach it that code 2 is also a healthy result.
Scheduling is only half of automation. A run can enforce stale code perfectly, so update the manifest and module tree before the scheduled invocation, and make the update atomic where possible. A failed or partial code transfer should not leave the node with a mixture of revisions.
Distribute manifests, modules, and data
Masterless execution does not distribute anything by itself. Common approaches include:
- Checking out a pinned Git revision on the node before each run.
- Installing a versioned package containing the environment tree.
- Baking the tree into an image and replacing nodes when the revision changes.
- Copying a tested release bundle through an existing deployment pipeline.
- Moving module tarballs and dependency bundles through approved removable-media procedures for isolated networks.
Whichever mechanism you choose, record the environment revision and module versions with the run output. For offline nodes, validate dependency closure and Puppet syntax in a connected staging environment before transfer. Keep the production tree separate from temporary downloads so that an incomplete bundle cannot accidentally become the active modulepath.
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Local execution changes where secret access occurs: each node must be able to read every secret or data source required by its manifest. That may mean a local protected file, a pre-provisioned credential, or access to an approved secret system when the node is online. Puppet’s masterless mode does not provide a central secret-distribution policy for you.
- Keep secret-bearing files outside world-readable directories and set ownership and permissions explicitly.
- Do not commit plaintext credentials to the manifest repository.
- Ensure the account running Puppet can read required data while unrelated users cannot.
- Prevent logs and reports from exposing secret values.
- Rotate credentials through the same controlled distribution process used for code.
Test a node with the same privileges and network restrictions it will have in production. A manifest that succeeds interactively as an administrator may fail under the scheduler because the environment, permissions, or available credentials differ.
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Troubleshoot the first run
puppet: command not found
Confirm that the Puppet package matches the Ubuntu release and architecture, then run command -v puppet. Use the returned absolute path in the wrapper or scheduler and verify that the scheduler’s PATH is not narrower than your interactive shell’s.
A module cannot be found
Run the command with an explicit --modulepath. Check the directory name, module name, and modulepath order. If the node is offline, confirm that the module tarball and every dependency were installed on that node; installing only the top-level module is insufficient when dependencies are absent.
The no-op proposes an unexpected replacement
Inspect the complete modulepath. An earlier directory wins when duplicate module names exist, so an older implementation may be loaded instead of the version you intended. Also verify that the manifest path points to the expected environment and that the code revision was updated before the run.
The run works manually but fails on a schedule
Compare the scheduler’s user, working directory, PATH, environment variables, mounted filesystems, and secret access with the interactive session. Use an absolute manifest path, an explicit modulepath, and captured logs. Preserve the detailed exit code so the scheduler can distinguish a successful change from a failure.
An offline deployment fails during compilation
Return to the connected staging system, build a complete module bundle, and test it against the same Ubuntu release and Puppet package version. Transfer the dependency closure together, then rerun the no-op on the isolated node before enforcement.
Operational checklist
- Confirm Ubuntu 22.04, 24.04, or 26.04 and the supported x86_64 or ARM architecture.
- Install a package intended for that release and architecture.
- Pin the Puppet package version and verify signatures according to policy.
- Keep the environment tree and module versions in source control.
- Run
--noopand inspect all proposed resources before the first enforcement. - Use an explicit modulepath when more than one module tree or environment exists.
- Test dependency closure before moving modules to offline nodes.
- Schedule the one-shot command with cron, a systemd timer, CI, or another controlled mechanism.
- Capture output and interpret detailed exit codes 0 and 2 as successful outcomes.
- Alert on failure codes and retain enough log context to reproduce the run.
- Ensure every node can securely access the data and secrets its manifest requires.
When masterless Puppet is the right fit
Choose this model when local autonomy, low network dependence, or isolation matters more than centralized orchestration. It is straightforward for a small fleet and for nodes that cannot maintain a connection to a primary server. The trade-off is operational ownership: you must build the release pipeline, scheduler, reporting path, dependency management, and secret handling that a centralized design would otherwise organize for you.
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If you need one place to approve changes, see fleet-wide reports, coordinate complex multi-node ordering, or manage a large and frequently changing estate, evaluate whether a primary-server architecture better matches those requirements. If each host should be independently recoverable and the configuration is already delivered as part of a controlled image or package, masterless execution can be the simpler choice.
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