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Signed-off-by: Matej Gera <[email protected]>
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matej-g committed Mar 6, 2024
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Expand Up @@ -311,17 +311,17 @@ Beware that using lower interval will result in more metric data points being se
### About batch sizing

[Batch processor](https://github.com/open-telemetry/opentelemetry-collector/tree/main/processor/batchprocessor) ensures that the telemetry being sent to Coralogix backend is batched into bigger requests, ensuring lower networking overhead and better performance. The batching processor is enabled by default and we strongly recommend to use it. By default, the `otel-integration` chart uses the following recommended settings for batch processors in all collectors:

```yaml
batch:
send_batch_size: 1024
send_batch_max_size: 2048
timeout: "1s"
```

These settings imposes a hard limit of 2048 units (spans, metrics, logs) on the batch size, ensuring a balance between the recommended size of the batches and networking overhead.
```yaml
batch:
send_batch_size: 1024
send_batch_max_size: 2048
timeout: "1s"
```

These settings imposes a hard limit of 2048 units (spans, metrics, logs) on the batch size, ensuring a balance between the recommended size of the batches and networking overhead.

You may adjust these settings according to your needs, but when configuring the batch processor by yourself, it is important to be mindful of the size limites imposed by the Coraloigx endpoints (currently **max. 10 MB** after decompression - see [documentation](https://coralogix.com/docs/opentelemetry/#limits--quotas)).
You may adjust these settings according to your needs, but when configuring the batch processor by yourself, it is important to be mindful of the size limites imposed by the Coraloigx endpoints (currently **max. 10 MB** after decompression - see [documentation](https://coralogix.com/docs/opentelemetry/#limits--quotas)).

More information on how to configure the batch processor can be found [here](https://github.com/open-telemetry/opentelemetry-collector/tree/main/processor/batchprocessor#batch-processor).

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