Build Kafka Client Applications on Confluent Cloud

• Overview
  • Client guides
  • Client versions and support
    • Java client support
    • librdkafka and derived client support
  • Client examples
• Connect with Confluent (Partner Integration)
  • How it works
  • What great integrations look like
  • Connect with Confluent integration basics
    • Integration authentication
    • End-user service account authentication
    • Schema Registry and Stream Governance
    • Confluent Cloud APIs
    • Custom identifier
  • Verify an integration
  • Publish an integration
  • Native partner integrations
  • Related content
• Client Quick Start
  • Configure clients
    • Configure clients from the Confluent Cloud Console
    • Configure clients from the Confluent CLI
• Configuration Settings
  • Recommendations
  • JVM settings for Java clients
  • Cluster upgrades and error handling
  • Client configuration properties
    • Why tuning client configurations is important
    • Configuration categories
    • Configuration properties
• Kafka Consumer
  • Concepts
    • Consumer groups
    • Offset management
  • Kafka consumer configuration
    • Core configuration
    • Group configuration
    • Offset management configuration
  • Message handling
  • Kafka consumer group tool
    • List consumer groups
    • Describe groups
    • Reset offsets
  • Related content
• Kafka Producer
  • Concepts
  • Kafka Producer Configuration
  • Learn More
• Guides
  • Python Client
  • .NET Client
  • Node JS Client (Early Access)
  • Go Client
  • Java Client
  • C++ Client
  • JMS Client
• Examples
  • Overview
  • C/C++ Example
  • .NET Example
  • Go Example
  • Spring Boot Example
  • Java Example
  • KafkaProducer Example
  • Python Example
  • REST Example
  • Node.js Example
  • Clojure Example
    • Prerequisites
    • Setup
    • Basic Producer and Consumer
    • Suggested Resources
  • Groovy Example
    • Prerequisites
    • Setup
    • Basic Producer and Consumer
    • Suggested Resources
  • Kafka Connect Datagen Example
    • Prerequisites
    • Setup
    • Basic Producer and Consumer
    • Avro and Confluent Cloud Schema Registry
  • kafkacat Example
    • Prerequisites
    • Setup
    • Basic Producer and Consumer
  • Kotlin Example
    • Prerequisites
    • Setup
    • Basic Producer and Consumer
    • Suggested Resources
  • Ruby Example
    • Prerequisites
    • Setup
    • Basic Producer and Consumer
  • Rust Example
    • Prerequisites
    • Setup
    • Basic Consumer and Producer
    • Suggested Resources
  • Scala Example
    • Prerequisites
    • Setup
    • Basic Producer and Consumer
    • Suggested Resources
• Architecture
  • Serverless architectures
  • Stateless microservices
  • Cloud-native applications
• Test
  • Unit Testing
  • Integration Testing
  • Schema Management and Evolution
  • Performance Testing
  • Chaos Testing
  • Testing on Confluent Cloud
  • Datasets
    • Real Production Datasets
    • Mock Data
  • Additional Resources
• Monitor
  • Metrics API
  • Client JMX Metrics
  • Producers
    • Throttling
    • User Processes
  • Consumers
    • Throttling
    • Consumer Lag
  • Related content
• Optimize and Tune
  • Overview
    • Benchmarking
    • Determining your Service Goals
    • Optimizing for your Service Goals
  • Configuration Settings
    • Recommendations
    • JVM settings for Java clients
    • Cluster upgrades and error handling
    • Client configuration properties
  • Throughput
    • Number of Partitions
    • Batching Messages
    • Compression
    • Producer acks
    • Memory Allocation
    • Consumer Fetching
    • Summary of Configurations for Optimizing Throughput
  • Latency
    • Key Concepts and Configuratons
    • Number of Partitions
    • Batching Messages
    • Compression
    • Producer acks
    • Consumer Fetching
    • Using Local Tables
    • Topology Optimization
    • Summary of Configurations for Optimizing Latency
  • Durability
    • Producer acks
    • Duplication and Ordering
    • Minimum Insync Replicas
    • Consumer Offsets and Auto Commit
    • Exactly Once Semantics (EOS)
    • Summary of Configurations for Optimizing Durability
  • Availability
    • Minimum Insync Replicas
    • Consumer failures
    • Restoring Task Processing State
    • Summary of Configurations for Optimizing Availability