아파치 카프카 공식 레퍼런스를 한글로 번역한 문서입니다.

버전은 2.7.X 기준입니다.

목차:

1. GETTING STARTED
   • 1.1 Introduction
     • What is event streaming?
     • What can I use event streaming for?
     • Apache Kafka® is an event streaming platform. What does that mean?
     • How does Kafka work in a nutshell?
     • Main Concepts and Terminology
     • Kafka APIs
     • Where to go from here
   • 1.2 Use Cases
     • Messaging
     • Website Activity Tracking
     • Metrics
     • Log Aggregation
     • Stream Processing
     • Event Sourcing
     • Commit Log
   • 1.3 Quick Start
     • STEP 1: GET KAFKA
     • STEP 2: START THE KAFKA ENVIRONMENT
     • STEP 3: CREATE A TOPIC TO STORE YOUR EVENTS
     • STEP 4: WRITE SOME EVENTS INTO THE TOPIC
     • STEP 5: READ THE EVENTS
     • STEP 6: IMPORT/EXPORT YOUR DATA AS STREAMS OF EVENTS WITH KAFKA CONNECT
     • STEP 7: PROCESS YOUR EVENTS WITH KAFKA STREAMS
     • STEP 8: TERMINATE THE KAFKA ENVIRONMENT
     • CONGRATULATIONS!
   • 1.4 Ecosystem
2. APIS
   • 2.1 Producer API
   • 2.2 Consumer API
   • 2.3 Streams API
   • 2.4 Connect API
   • 2.5 Admin API
3. CONFIGURATION
   • 3.1 Broker Configs
     • 3.1.1 Updating Broker Configs
   • 3.2 Topic Configs
   • 3.3 Producer Configs
   • 3.4 Consumer Configs
   • 3.5 Kafka Connect Configs
     • 3.5.1 Source Connector Configs
     • 3.5.2 Sink Connector Configs
   • 3.6 Kafka Streams Configs
   • 3.7 AdminClient Configs
4. DESIGN
   • 4.1 Motivation
   • 4.2 Persistence
     • Don’t fear the filesystem!
     • Constant Time Suffices
   • 4.3 Efficiency
     • End-to-end Batch Compression
   • 4.4 The Producer
     • Load balancing
     • Asynchronous send
   • 4.5 The Consumer
     • Push vs. pull
     • Consumer Position
     • Offline Data Load
     • Static Membership
   • 4.6 Message Delivery Semantics
   • 4.7 Replication
     • Replicated Logs: Quorums, ISRs, and State Machines (Oh my!)
     • Unclean leader election: What if they all die?
     • Availability and Durability Guarantees
     • Replica Management
   • 4.8 Log Compaction
     • Log Compaction Basics
     • What guarantees does log compaction provide
     • Log Compaction Details
     • Configuring The Log Cleaner
   • 4.9 Quotas
     • Why are quotas necessary
     • Client groups
     • Quota Configuration
     • Network Bandwidth Quotas
     • Request Rate Quotas
     • Enforcement
5. IMPLEMENTATION
   • 5.1 Network Layer
   • 5.2 Messages
   • 5.3 Message format
     • 5.3.1 Record Batch
     • 5.3.2 Record
     • 5.3.3 Old Message Format
   • 5.4 Log
     • Writes
     • Reads
     • Deletes
     • Guarantees
   • 5.5 Distribution
     • Consumer Offset Tracking
     • ZooKeeper Directories
     • Notation
     • Broker Node Registry
     • Broker Topic Registry
     • Cluster Id
     • Broker node registration
6. OPERATIONS
   • 6.1 Basic Kafka Operations
     • Adding and removing topics
     • Modifying topics
     • Graceful shutdown
     • Balancing leadership
     • Balancing Replicas Across Racks
     • Mirroring data between clusters & Geo-replication
     • Checking consumer position
     • Managing Consumer Groups
     • Expanding your cluster
     • Decommissioning brokers
     • Increasing replication factor
     • Limiting Bandwidth Usage during Data Migration
     • Setting quotas
   • 6.2 Datacenters
   • 6.3 Geo-Replication (Cross-Cluster Data Mirroring)
     • Geo-Replication Overview
     • What Are Replication Flows
     • Configuring Geo-Replication
     • Starting Geo-Replication
     • Stopping Geo-Replication
     • Applying Configuration Changes
     • Monitoring Geo-Replication
   • 6.4 Kafka Configuration
     • Important Client Configurations
     • A Production Server Config
   • 6.5 Java Version
   • 6.6 Hardware and OS
     • OS
     • Disks and Filesystems
     • Application vs. OS Flush Management
     • Understanding Linux OS Flush Behavior
     • Filesystem Selection
   • 6.7 Monitoring
     • Security Considerations for Remote Monitoring using JMX
     • Common monitoring metrics for producer/consumer/connect/streams
     • Common Per-broker metrics for producer/consumer/connect/streams
     • Producer Monitoring
     • Consumer Monitoring
     • Connect Monitoring
     • Streams Monitoring
     • Others
   • 6.8 ZooKeeper
     • Stable Version
     • Operationalizing ZooKeeper
7. SECURITY
   • 7.1 Security Overview
   • 7.2 Encryption and Authentication using SSL
     • Generate SSL key and certificate for each Kafka broker
     • Creating your own CA
     • Signing the certificate
     • Common Pitfalls in Production
     • Configuring Kafka Brokers
     • Configuring Kafka Clients
   • 7.3 Authentication using SASL
     • JAAS configuration
     • SASL configuration
     • Authentication using SASL/Kerberos
     • Authentication using SASL/PLAIN
     • Authentication using SASL/SCRAM
     • Authentication using SASL/OAUTHBEARER
     • Enabling multiple SASL mechanisms in a broker
     • Modifying SASL mechanism in a Running Cluster
     • Authentication using Delegation Tokens
   • 7.4 Authorization and ACLs
     • Customizing SSL User Name
     • Customizing SASL User Name
     • Command Line Interface
     • Examples
     • Authorization Primitives
   • 7.5 Incorporating Security Features in a Running Cluster
   • 7.6 ZooKeeper Authentication
     • 7.6.1 New clusters
     • 7.6.2 Migrating clusters
     • 7.6.3 Migrating the ZooKeeper ensemble
     • 7.6.4 ZooKeeper Quorum Mutual TLS Authentication
   • 7.7 ZooKeeper Encryption
8. KAFKA CONNECT
   • 8.1 Overview
   • 8.2 User Guide
     • Running Kafka Connect
     • Configuring Connectors
     • Transformations
     • REST API
     • Error Reporting in Connect
   • 8.3 Connector Development Guide
     • Core Concepts and APIs
     • Developing a Simple Connector
     • Dynamic Input/Output Streams
     • Connect Configuration Validation
     • Working with Schemas
     • Kafka Connect Administration
9. KAFKA STREAMS

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Getting Started
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