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Update doc for ThingsBoard Microservices architecture - Kafka #2608

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9 changes: 7 additions & 2 deletions _includes/docs/reference/msa.md
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Expand Up @@ -96,8 +96,13 @@ The main idea is to sacrifice small performance/latency penalties in favor of pe

### Kafka

[Apache Kafka](https://kafka.apache.org/) is an open-source stream-processing software platform. ThingsBoard uses Kafka to persist incoming telemetry from HTTP/MQTT/CoAP transpots
until it is processed by the rule engine. ThingsBoard also uses Kafka for some API calls between micro-services.
[Apache Kafka](https://kafka.apache.org/) is an open-source stream-processing platform. In ThingsBoard microservices deployments, Kafka is used as an
internal message queue to buffer telemetry ingested via supported device transports (e.g., HTTP/MQTT/CoAP) until it is
processed by the Rule Engine. Kafka is also used for certain inter-service communication between microservices.

Note: Kafka in this context is not a public ingestion endpoint. ThingsBoard Community Edition does not provide a built-in Kafka consumer
to ingest telemetry from external Kafka topics/clusters. To ingest data from external Kafka, forward it via supported ingestion
paths (device transports / REST API) or use the Kafka Integration in ThingsBoard Professional Edition or Cloud.

### Cache database

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