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What integrations with Kafka have you worked on? How did you interact with the broker?

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Answer from AI

In Kafka integration projects, the typical components include:

  • Producers — send messages to Kafka topics.
  • Consumers — read messages from topics.

Interaction with the broker occurs through client libraries (e.g., kafka-python, kafka-node, librdkafka), which implement the Kafka protocol.

Key points:

  • Configuring connection to brokers (addresses, ports).
  • Defining topics for reading and writing.
  • Managing offsets to ensure message delivery and processing.
  • Error handling and retries.

Example in Python using kafka-python:

from kafka import KafkaProducer, KafkaConsumer

producer = KafkaProducer(bootstrap_servers='localhost:9092')
producer.send('my_topic', b'hello world')
producer.flush()

consumer = KafkaConsumer('my_topic', bootstrap_servers='localhost:9092', auto_offset_reset='earliest')
for message in consumer:
    print(f"Received: {message.value.decode('utf-8')}")

Embedded and IoT devices may use lightweight clients and protocols adapted for limited resources, such as Kafka REST Proxy or MQTT for integration with Kafka via bridges.

What integrations with Kafka have you worked on? How… - sobes.tech