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The Clarive Worker is one of the available communication methods used for sending/retrieving files and running commands on remote servers.

The Worker is an executable file that needs to be installed in each server in your network where you may want to run certain DevOps operations, which typically are executing local shell commands, sending files (ship) and retrieving files (fetch).

The Worker is a pull agent, meaning it initiates the connection to the Clarive pubsub server and awaits for instructions. It is ideal for cases where the server hosting the worker runs behind a firewall and is not directly reacheable by the Clarive server through SSH or a push agent such as ClaX.

Supported OS/Platforms

The Worker supports 3 main platforms:

  • Linux releases 2.6 or greater, including CentOS 5.x or greater
  • Windows 7.x, 8.x, 10.x and Windows Server 2003 or greater
  • MacOS 10.12 or greater

Installing the Worker

The Clarive Worker is a single binary and has no specific prerequisites. The only requisite is that the server where the worker is being installed can reach the Clarive server directly.

Typically the process to connecting your Clarive Server to the rest of your infrastructure for building, deploying and other DevOps-related activities is this:

  • Download the Clarive Worker binary cla-worker to the server
  • Register the worker with the server by using a project passkey
  • Start the worker online or as a daemon
  • Run your Clarive rules and pipeline against the worker

Clarive server requisites

For the worker to be able to connect, the Clarive web server must be running with the pubsub module active.

By default the pubsub module is active and starts with the rest of cla web-start web services.

Worker Capabilities

A worker instance can execute the following actions on its host server:

  • receive a remote file from the Clarive server and write it locally
  • send a local file to the Clarive server
  • run any arbitary command locally on the server as requested by the Clarive server
  • eval arbitary Javascript instructions on the server, using exposed or imported NodeJS libraries

Worker Security

The Worker only runs as the current OS user it has been launched with. But commands send by the server could escalate permissions if the user or executable have some type sudo permissions, sticky bit or similar mechanism.

Download the Worker

The Clarive Worker is open source and can be downloaded from the Clarive Github account:

The worker is a self-contained binary available for Linux, MacOS and Windows and has no prerrequisites.

The worker binary comes packaged in a self-executing binary. No special installation is needed. Once the .zip or .tgz file is decompressed, use the executable that matches your platform:

  • cla-worker/cla-worker-win.exe (Windows)
  • cla-worker/cla-worker-macos (MacOS)
  • cla-worker/cla-worker-linux (Linux)

Once decompressed, rename the correct file:


cd cla-worker
mv cla-worker-macos cla-worker
rm cla-worker-*


cd cla-worker
mv cla-worker-linux cla-worker
rm cla-worker-*


cd cla-worker
ren cla-worker-win.exe cla-worker.exe
del cla-worker-*

Registering the Worker

For a worker to connect to a Clarive server it needs a passkey. Passkeys are available on a project-by-project basis. Each Clarive project may or may not have a passkey, if the project owner or administrator generates one.

To get the passkey, go to a given project (project dropdown menu), select the Deploy > Worker menu option from the left meny and hit the Register Worker button on top. A new registration command will be generated as such:

cla-worker register --passkey (your project passkey) --url (url to your server) --save

Copy the registration command and paste it to a terminal where you decompressed the cla-worker binary to register your worker.


Once generated, the passkey should be kept secret, as it could allow a intruder to register a worker as, ie, a PRODUCTION worker and hijack a given project's production deployment tasks. You can invalidate a registration passkey by opening the Register Worker section and hitting the Invalidate button if you suspect that the passkey is or could be compromised.

The registration process will return a ID-token pair that is unique to this worker instance.

 Registration token:  97d317df5ad3fbb68334657ec94aefe6
 Projects registered:  ["CLARIVE"]
 Start the worker with the following command:

            cla-worker run --id RKmp3hSwb --token 97d317df5ad3fbb68334657ec94aefe6

The registration token returned is the worker "password" to access the server under a given ID.

If you used the option --save during the registration, the registration data will also be saved in a cla-worker.yml file in the same directory as the cla-worker binary.

When a correctly registered cla-worker.yml file exists, you can simply start it with:

 cla-worker run

If your config file is in another path, you should put the path to the cla-worker.yml file with the option --config or -c:

 cla-worker run -c /path/to/cla-worker.yml

The server URL is also in the config file, in case you need to modify it. Keep the cla-worker.yml file permissions secure from prying eyes, as it contains your registration token.


The ID-worker pair is analogous to a username/password for your worker instance. Keep it in a safe place. If it's compromised an attacker could impersonate the worker by making the Clarive Server believe it's connected to the correct server when in fact it's connected to the attacker's infrasctructure. That could end up with sensitive information or files being sent by the Clarive Server to the compromised worker.


To keep your registrations safe, use the cla-worker.yml file.

By default the cla-worker.yml file is loaded from one of the following 4 possibilities, in order of precedence:

  1. from the parameter --config filepath or -c /path/to/cla-worker.yml is present
  2. from the environment variable CLA_WORKER_CONFIG=/path/to/cla-worker.yml
  3. from the current working directory, from where the binary is started
  4. from the user's home directory (environment variable HOME)
  5. from /etc/cla-worker.yml

To save your registration directly to the cla-worker.yml file, use the --save or --save /path/to/cla-worker.yml:

 cla-worker register --save --passkey 123428198291ad98d98c89b8

Structure of the cla-worker.yml file

These are the configuration parameters allowed in the config file:

id - the unique identifier of the worker token - the token returned by the registration process passkey - the project access key for registering workers verbose - to run the worker in verbose mode, set it to verbose: true tags - a comma separated list of tags envs - a comma separated list of environments

Assigning an ID to the Worker

Every worker, once registered, will have a corresponding random unique ID assigned to it.

To make it easier to identify your worker, you can optionally assign it a unique ID.

cla-worker register --id myworker --passkey 2323928198291ad98d98c89b8

You can register a worker with the same ID against many projects, but never the same worker ID twice for a given project.

Unregistering the worker

To unregister a given Worker from the server, making it available to re-register with the same ID or simply to decatalog it from the available worker list, run the following command:

cla-worker unregister --id myworker --token [token]

You must know the token corresponding to the id to be able to unregister a worker.

Running the worker

Once registered, fire-up the worker with the following command using the ID and token used in the registration:

cla-worker run --id myworker --token 97d317df5ad3fbb68334657ec94aefe6

Or simply, if you have a cla-worker.yml file in your PATH with only one registration (ID-token pair):

cla-worker run

Optionally, if you have multiple ID registrations in your cla-worker.yml file:

cla-worker run --id myworker

Worker management UI

Available under the project area, Deploy -> Workers.

From there you can:

  • Obtain the passkey for registering workers for a given project.

  • Monitor worker usage.

  • Unregister workers, which removes the worker from this project.

  • Shutdown workers, which kills the process on the servers.

  • Disable workers, which does not kill the process on the server but prevents new jobs from using it.


Shutting down workers will kill the server process. After a shut down, restarting the worker requires manually logging into the server and starting the process.

Limiting Workers by environment

To limit what environments are available for a given worker, limiting it's usage to say QA or PROD, use the following flags in the cla-worker command line:

$ cla-worker run --id myworkerid --envs QA,PROD

# Or by separating each entry:

$ cla-worker run --id myworkerid --env QA --env PROD


The environments need to exist in Clarive for the worker to start successfully. The environment names are case-sensitive.

Setting worker tags

Worker tags are useful to identify a worker capabilities. Then, when writing rulebooks that make use of a worker, you can ask for any available worker with a given capability.

Examples of useful tags could be java (can build java projects), gcc (C compiler), nodejs, etc.

$ cla-worker run --id myworkerid --tags java,nodejs

# Or by separating each entry:

$ cla-worker run --id myworkerid --tag java --tag nodejs

Then invoke your worker within a rulebook with the following options:

       worker: { tags: ['java'] }
       cmd: javac

This will run your command on the first worker that supports the tag java (meaning it has a Java compiler available):

One could have several workers within a given server, with different ids and tag sets for different capabilities.

Registering worker to more than one project

This is not recommended due to the fact that it creates possible breach of project information among projects.

If you want to have 2 or more projects running at the same [email protected] pair, we recommend having one workerid in a per project basis, instead of sharing the same worker for more than one project.

Still, if instead you prefer to share the same workerid with different projects, you can register your worker to more than one project by re-registering an already register worker with the new project's passkey.

Bear in mind that workers registered to more than one project carry the following caveats:

  • users can see which projects share a worker through the Worker management UI.

  • if a user in one project shuts down or disables a shared worker, the worker will become unavailable to all registered projects.

  • unregistering a worker, however, from one project will NOT unregister it from all projects.

Starting as a daemon

To run the Clarive Worker as a daemon, ie. to start the process in the background and get control back into the shell, run the following command:

cla-worker start --id myworker --token 97d317df5ad3fbb68334657ec94aefe6
ℹ spawning cla-worker in the background...
ℹ logfile=/opt/cla-worker/cla-worker.log
ℹ pidfile=/opt/cla-worker/
ℹ forked child with pid 16412

The process id is stored in the pidfile while a detailed execution log is stored in logfile. These can be controlled by sending the option --logfile and --pidfile with the complete path to the files.

To check the status of the daemon, the cla-worker status command can come handy:

$ cla-worker status --id myworker
ℹ checking status for workerid=myworker and pidfile=/opt/cla-worker/
ℹ logfile=/opt/cla-worker/cla-worker.log
ℹ workerid=myworker is assigned pid=27532...
✔ worker is running with pid=27532

To stop the worker daemon, use the following:

cla-worker stop --id myworker
ℹ stopping daemon with pid=16412, from pidfile=/opt/cla-worker/
ℹ killed daemon with pid=16412
ℹ deleted '/opt/cla-worker/'

The stop command will look for a pidfile in the default location for a given id. If the pidfile sits somewhere else, pass the stop command the path to the pidfile with cla-worker stop --pidfile [pidfile].