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Build Applications for Kafka

Use these resources to develop and deploy your streaming applications on Confluent Platform.

• Schema Management
  • Schemas, Subjects, and Topics
  • Kafka Serializers and Deserializers Background
  • Avro, JSON, and Protobuf Supported Formats and Extensibility
  • Schema ID Allocation
  • Kafka Backend
  • Single Primary Architecture
  • Migrate Schemas (Confluent Cloud and self-managed)
  • License
  • Suggested Reading
• Command Line Tools
  • Confluent CLI
  • Confluent Cloud CLI
• Kafka Clients
  • Feature Support
  • Other Languages
• API and Javadocs
  • Streams Javadocs
  • Kafka Connect Javadocs
  • Kafka Connect REST Interface
  • Kafka Clients
  • Schema Registry API Reference
  • ksqlDB syntax reference
  • Confluent REST Proxy API Reference
  • Confluent Metadata API Reference
• Application Development
  • Native Clients with Serializers
  • REST Proxy
• Docker Developer Guide
  • Confluent Platform image bootup process
  • Prerequisites
  • Build the Confluent Platform images
  • Extend Confluent Platform images
  • Utility scripts
  • Reference
• Streams Developer Guide
  • Writing a Streams Application
  • Testing Streams Code
  • Configuring a Streams Application
  • Streams DSL
  • Naming Kafka Streams DSL Topologies
  • Optimizing Kafka Streams Topologies
  • Processor API
  • Data Types and Serialization
  • Interactive Queries
  • Memory Management
  • Running Streams Applications
  • Managing Streams Application Topics
  • Streams Security
  • Application Reset Tool
• Connector Developer Guide
  • Core Concepts and APIs
  • Developing a Simple Connector
  • Dynamic Input/Output Partitions
  • Configuration Validation
  • Working with Schemas
  • Schema Evolution
  • Testing
  • Packaging
  • Suggested Reading
• Confluent Hub
  • Confluent Hub Client
  • Command Reference
  • Component Archive Specification
  • Contributing to Confluent Hub
• MQTT Proxy
  • Introduction
  • Communication Security Settings
  • MQTT Proxy Configuration Options
• ksqlDB Developer Guide
• Pipelining with Kafka Connect and Kafka Streams
  • Overview
  • Description of Data
  • Demo Prerequisites
  • Run the demo
  • Example 1: Kafka console producer -> Key:String and Value:String
  • Example 2: JDBC source connector with Single Message Transformations -> Key:Long and Value:JSON
  • Example 3: JDBC source connector with SpecificAvro -> Key:String(null) and Value:SpecificAvro
  • Example 4: JDBC source connector with GenericAvro -> Key:String(null) and Value:GenericAvro
  • Example 5: Java client producer with SpecificAvro -> Key:Long and Value:SpecificAvro
  • Example 6: JDBC source connector with Avro to ksqlDB -> Key:Long and Value:Avro
  • Technical Notes