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  • Kafka security: allowing only certain users to read certain messages . . .
    No Out of the box Apache Kafka cannot do “fine-grained intra topic permissioning” You will have to write a custom Kafka Serializer Deserializer (SerDes) library or implement your own Entitlements Server in the middle to provide Role Based Access Control (RBAC) and content based filtering
  • Kafka Topics and Producers FAQs - Confluent
    You can also read data from a Kafka topic using a command-line interface (CLI) tool such as kcat (formerly known as kafkacat) or kafka-console-consumer Confluent also provides a web interface for browsing messages in a Kafka topic, available on-premises and on Confluent Cloud
  • Kafka Topic Naming conventions - Kafkawize
    In this article, we learnt about how Kafka topics are created on the file system, and how certain naming conventions help in streamlining application events As it is not possible to rename the topic, it’s better to get it the first time right
  • What are messages? | Kafka 101 | Red Hat Developer
    What are messages? A message or record is a key value pair with data for the consumer applications Each message is stored inside a topic (Figure 5) This message is persisted and durable during its configured lifespan The position of each message within a topic is its offset Messages are generally consumed from each partition in the order in
  • What is a Kafka Topic ? All You Need to Know Best Practices
    Explore the essential components of Apache Kafka topics, the foundation for high-throughput, fault-tolerant data streaming applications This guide covers fundamental concepts, topic architecture, partitioning strategies, replication, and best practices for managing Kafka topics efficiently
  • Understanding message acknowledgments and reliability - Apache Kafka
    Message acknowledgments play a significant role in ensuring the reliability of message delivery in Apache Kafka By choosing the right acknowledgment mode, you can balance the trade-offs between throughput and reliability based on your application's requirements
  • Apache Kafka Overview
    Learn about Kafka's architecture and how it compares to an ideal publish-subscribe system The ideal publish-subscribe system is straightforward: Publisher A’s messages must make their way to Subscriber A, Publisher B’s messages must make their way to Subscriber B, and so on Unlimited Lookback
  • Understanding Topics and Partitions in Apache Kafka (with Examples)
    At the heart of Kafka’s design lies the concept of topics and partitions, which are pivotal in understanding how Kafka maintains, distributes, and scales data Here’s a two-faced guide – starting from the basics and venturing into advances uses with illustrative examples
  • Best Practices for Kafka Message Content? - Stack Overflow
    Are there best practices or a standardized approach for message content in Kafka? ID vs Whole Document Vs Subset of Fields Not finding any guidelines for this and the general advice seems to be "it depends" I see some pros and cons for all options in our microservice architecture
  • Importance of Kafka Message Samples for Designing Databricks DLT-Based . . .
    While table schema gives you column names and types, Kafka messages in a CDC context carry far more than just data - and the exact message structure significantly influences how you parse, transform, and monitor the stream in Databricks or Delta Live Tables Here’s why actual message samples matter in your case:





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