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Kafka Streams Developer Guide for Confluent Platform The Kafka Streams API is built for mainstream developers, making it simple to build stream processing applications, support a developer-friendly deployment, and serve a majority of commonly found use cases This guide gives you an overview of the API with examples, configuration options, and demos
Configure a Kafka Streams Application for Confluent Platform Configure a Kafka Streams Application for Confluent Platform Apache Kafka® and Kafka Streams configuration options must be configured before using the Streams API Configure Kafka Streams by specifying parameters in a java util Properties instance Create a java util Properties instance Set the parameters For example:
Connecting Apache Kafka to Confluent Cloud: Setup Best Practices Apache Kafka is a powerful tool for real-time data processing, enhanced by Confluent’s services This guide outlines how to connect Kafka Streaming to the Confluent platform, covering setup, …
Kafka Streams Quick Start for Confluent Cloud Create a Kafka Streams project using Confluent for VS Code Process streaming data with Kafka Streams operations Run your application in a Docker container Confluent for VS Code generates a project for a Kafka Streams application that consumes messages from an input topic and produces messages to an output topic by using the following code
What is a simple, effective way to debug custom Kafka connectors? Run confluent log connect to open the Connect worker's log file, or navigate directly to where your logs and data are stored by running cd "$( confluent current )" Note: change where your logs and data are stored during a session of the Confluent CLI by setting the environment variable CONFLUENT_CURRENT appropriately
The IDE That Speaks Kafka: Mastering Streams in VS Code Apache Kafka has become an essential technology for modern data streaming applications However, its learning curve can be steep for developers This presentation will help you overcome the everyday challenges of Kafka development and streamline your development experience using the Confluent VS Code Extension We begin by exploring the hurdles developers face when starting with Kafka
Frequently Asked Questions for Kafka Streams in Confluent Platform Frequently Asked Questions for Kafka Streams in Confluent Platform Confluent is looking for feedback on APIs, operators, documentation, and anything else that will improve the end-user experience Feel free to provide your feedback at the Confluent Community Forum
Kafka Streams for Confluent Platform Kafka Streams for Confluent Platform Kafka Streams is a client library for building applications and microservices, where the input and output data are stored in an Apache Kafka® cluster It combines the simplicity of writing and deploying standard Java and Scala applications on the client side with the benefits of Kafka’s server-side cluster technology
Kafka Streams Code Examples for Confluent Platform Confluent for VS Code Use the Confluent for VS Code extension to generate a new Kafka Streams application that reads messages from a Kafka topic, performs a simple transformation, and writes the transformed data to another topic This option is ideal if you’re learning about Kafka Streams For more information, see Confluent for VS Code with Confluent Platform