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Labels

Labels are key/value pairs that are attached to running application instances.

Labels can be used to organize and select groups of application instances. In this example organization, there are three environments - development, staging, and production with 4 different services in each environment.

Setting up your Rookout deployment

When installing the Rookout SDK, you may provide the service name and environment nam as labels.
For example, service #3 in Production may be configured using the following:

rook.start(token='[Your Rookout Token]',
           labels={"service":"service#3","env":"production"})
rook.start({
    token: '[Your Rookout Token]', 
    labels:
        {
            "service":"service#3",
            "env":"production"
        }
    
});
# Export your labels as an environment variable
export ROOKOUT_LABELS=service:service3,env:production

Examples

Debug all instances of specific service

When creating your Rookout Project, use the following filter to debug all instances of service #3 (in Production, Staging and Dev).

  1. Add the following filter: service:service#3

  2. Import the source code for service #3.

Debug all instances in specific environment

When creating your Rookout Project, use the following filter to debug only instances running in Production.

  1. Add the following filter: env:production

  2. Import the source code of the relevant service.

Debug specific instance in specific enviroment

To refine the filter, you may use the following filter to debug only the instance of service #3 running in Staging.

  1. Add the following filters: env:staging service:service#3

  2. Import the source code for service #3.

Built in labels

Rookout also provides built-in labels as described in the following table.

You may find those labels in the Rookout App Instances page, or in the Project configuration pane.

Filter by                          Example
hostname$hostname:demo-deployment
platform$platform:python, $platform:java $platform:node
processname$processname:demo/app.py
internal ip$internalIp:10.14.1.101
external ip$externalIp:35.222.91.58
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