Learn how the Kafka Streams architecture simplifies application development by building on the Apache Kafka producer and consumer APIs, and leveraging the native capabilities of |ak| to …

Kafka Connect’s goal of copying data between systems has been tackled by a variety of frameworks, many of them still actively developed and maintained. This section explains the …

This white paper provides a reference for data architects and system administrators who are planning to deploy Apache Kafka and Confluent Platform in production. You will learn: …

In this guide, we’ll delve into each component of Kafka’s internal architecture and how it works. Producer and Consumer APIs. The foundation of Kafka’s powerful application layer is two …

By basing the Python (confluent-kafka-python), .NET (confluent-kafka-dotnet), and Go (confluent-kafka-go) clients on librdkafka, Confluent provides consistent APIs and semantics, high …

Describes the design approach for Apache Kafka; how it efficiently uses the file system, how consumers and producers work, message delivery guarantees, client quotas and more.

Confluent Platform includes Apache Kafka, as well as selected software projects that are frequently used with Kafka, which makes Confluent Platform a one-stop shop for setting up a …

Jun 24, 2024 · Thousands of organizations use Kafka for building event-driven architectures, real-time analytics and streaming pipelines. Kafka architecture is based on producer-subscriber …

Get to know the broader Kafka ecosystem, which includes Kafka Connect, ksqlDB, Kafka Streams, and Confluent Schema Registry, and which saves you from rewriting a lot of …

In this module, we’ll shift our focus and look at how cluster metadata is managed by the control plane. Historically, the Kafka control plane was managed through an external consensus …