Telemetry best practices

Telemetry best practices

The following are some suggested best practices to follow when deploying and configuring the Telemetry service.

Data collection

  1. The Telemetry service collects a continuously growing set of data. Not all the data will be relevant for an administrator to monitor.

    • Based on your needs, you can edit the polling.yaml and pipeline.yaml configuration files to include select meters to generate or process

    • By default, Telemetry service polls the service APIs every 10 minutes. You can change the polling interval on a per meter basis by editing the polling.yaml configuration file.


      If the polling interval is too short, it will likely increase the stress on the service APIs.

  2. If polling many resources or at a high frequency, you can add additional central and compute agents as necessary. The agents are designed to scale horizontally. For more information refer to the high availability guide.

  3. workload_partitioning of notification agents is only required if the pipeline configuration leverages transformers. It may also be enabled if batching is required to minimize load on the defined publisher targets. If transformers are not enabled, multiple agents may still be deployed without workload_partitioning and processing will be done greedily.

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