Developing Client Applications on Confluent Cloud

• Architectural Considerations
  • Serverless architectures
  • Stateless microservices
  • Cloud-native applications
• Monitoring
  • Metrics API
  • Client JMX Metrics
  • Producers
    • Throttling
    • User Processes
  • Consumers
    • Throttling
    • Consumer Lag
• Optimizing and Tuning
  • Overview
    • Benchmarking
    • Determining your Service Goals
    • Optimizing for your Service Goals
  • 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)
  • Availability
    • Minimum Insync Replicas
    • Consumer failures
    • Restoring Task Processing State
    • Summary of Configurations for Optimizing Availability
• Configure Clients
  • Use Clients Code Examples on Tools & client config
  • Java Client
  • librdkafka-based C Clients
  • Configuring clients for cluster rolls
    • Recommendations
• Create API Keys
  • Ownership of API Keys
  • Resource-specific API keys for Kafka, Schema Registry, or ksqlDB
    • Create Resource-Specific API Keys in the UI
    • Create Resource-Specific API Keys using the CLI
    • Edit Resource-Specific API key descriptions using the UI
    • Delete Resource-Specific API keys using the UI
    • Create Kafka API Keys and associate with existing user account
  • Confluent Cloud API keys
    • Create Cloud API Keys using the UI
    • Create Cloud API Keys using the CLI
• Tools for Confluent Cloud Clusters
  • Overview
  • Requirements
  • Introduction
  • Step 1: Create Kafka Cluster in Confluent Cloud
  • Step 2: Get Connectivity Details from your Confluent Cloud Cluster
  • Step 3: Clone the Confluent Cloud Tools GitHub Repository
  • Step 4: Specify the Confluent Cloud Cluster Connectivity Details
  • Step 5: Specify the Cloud Provider Credentials Details
  • Step 6: Run Terraform
  • Next Steps