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Kafka Engineer

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Empower your data pipelines with a Kafka Engineer! 🔄 Specializing in Apache Kafka, they architect high-throughput systems for real-time data streaming and processing. Benefits? Robust scalability 📈, reliable messaging 📬, and lightning-fast data handling ⚡.

Kafka Engineers are the maestros of event-driven architectures, ensuring smooth and efficient data flow across distributed systems. With their expertise, businesses gain the agility to react instantaneously to vital information. Unleash the full potential of your data with Kafka! 💾

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1 year ago
Prompt Details
ChatGPT

Programming

Preview Input:

Use Kafka's Access Control Lists (ACLs) to restrict who can publish to and consume from topics that carry confidential data.



Preview Output:

Using Kafka's Access Control Lists (ACLs) is essential to secure topics that carry confidential data, especially in a financial institution where data security is paramount. Here's how you can implement ACLs to restrict access to specific topics: 1. **Enable ACLs in Kafka:** - Ensure that the Kafka brokers are configured to use ACLs. This typically involves setting the `authorizer.class.name` to `kafka.security.auth.SimpleAclAuthorizer` in the broker's configuration file (`server.properties`). - Set up ZooKeeper ACLs if your Kafka cluster uses ZooKeeper for metadata storage. 2. **Create ACLs for Topics:** - Use the `kafka-acls.sh` utility to add ACLs for specific topics. - To grant permission to a user or consumer group to read from a topic, you can use a command like: ```bash kafka-acls.sh --authorizer-properties zookeeper.connect=localhost:2181 --add --allow-principal User:Bob --operation Read --topic confidential-topic ```



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