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Dataflows instanceCount alert
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articles/iot-operations/connect-to-cloud/howto-configure-dataflow-profile.md

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> [!IMPORTANT]
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> Currently in public preview, adjusting the instance count may result in message loss. At this time, it's recommended to not adjust the instance count for a profile with active dataflows.
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> [!CAUTION]
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> Currently in public preview, adjusting the instance count may result in message loss or duplication. At this time, it's recommended to not adjust the instance count for a profile with active dataflows.
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## Diagnostic settings
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parent: aioInstance
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name: '<NAME>'
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properties: {
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instanceCount: <COUNT>
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instanceCount: 1
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diagnostics: {
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{
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logs: {
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name: '<NAME>'
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namespace: azure-iot-operations
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spec:
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instanceCount: <COUNT>
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instanceCount: 1
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diagnostics:
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logs:
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level: debug

articles/iot-operations/troubleshoot/known-issues.md

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- You can't use anonymous authentication for MQTT and Kafka endpoints when you deploy dataflow endpoints from the operations experience UI. The current workaround is to use a YAML configuration file and apply it by using `kubectl`.
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- Changing the instance count in a dataflow profile on an active dataflow might result in new messages being discarded or in messages being duplicated on the destination.
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- Currently in public preview, adjusting the instance count (instanceCount) in a dataflow profile may result in messages being discarded or duplicated on the destination. At this time, it's recommended to not adjust the instance count for a profile with active dataflows.
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- When you create a dataflow, if you set the `dataSources` field as an empty list, the dataflow crashes. The current workaround is to always enter at least one value in the data sources.
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