Kafka Architecture - Broker, Topic, Partition, Offset || Chapter 1 || Day 3

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Codefarm

Codefarm

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In this video, we are going to talk about the internal architecture of Kafka. The architecture series is divided into three parts, in this first part we are covering Broker, Topic, Partition, and Offset.
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==============Below is just for SEO========================
Introduction to Kafka
Kafka architecture
Kafka components: brokers, producers, and consumers
Kafka cluster setup and configuration
Kafka data partitioning and replication
Kafka topic creation and management
Kafka message format: key and value
Kafka message serialization and deserialization
Kafka message compression
Kafka message delivery semantics
Kafka message retention policies
Kafka message offsets
Kafka message timestamping
Kafka message routing and filtering
Kafka message transformation using Kafka Connect
Kafka security: SSL, SASL, ACLs
Kafka monitoring and metrics
Kafka performance tuning and optimization
Kafka Streams: introduction and architecture
Kafka Streams: stateful stream processing
Kafka Streams: windowed stream processing
Kafka Streams: table processing
Kafka Connect: introduction and architecture
Kafka Connect: connectors and transformations
Kafka Connect: configuration and deployment
Kafka ecosystem: other Kafka-related projects and tools.
Introduction to Kafka with Spring Boot
Kafka integration with Spring Boot: configuration and setup
Spring Kafka: producer and consumer implementation
Kafka messaging with Spring Boot: asynchronous and synchronous communication
Spring Kafka listener containers
Spring Kafka error handling
Kafka serialization and deserialization with Spring Boot
Kafka and Spring Boot: message conversion using message converters
Spring Kafka: dead-letter topics
Kafka and Spring Boot: message validation and filtering
Spring Kafka: retry mechanism for message processing
Spring Kafka: transaction management
Kafka and Spring Boot: security configuration
Spring Kafka: testing strategies
Kafka Streams and Spring Boot: windowed stream processing
Kafka Streams and Spring Boot: table processing
Kafka Connect and Spring Boot: introduction and architecture
Kafka Connect and Spring Boot: connectors and transformations
Kafka Connect and Spring Boot: configuration and deployment
Spring Cloud Stream: introduction and architecture
Spring Cloud Stream and Kafka: binder configuration
Spring Cloud Stream and Kafka: producer and consumer implementation
Spring Cloud Stream and Kafka: message conversion using message converters
Spring Cloud Stream and Kafka: error handling
Spring Cloud Stream and Kafka: security configuration
Spring Cloud Stream and Kafka: testing strategies
Kafka and Spring Boot: monitoring and metrics with Micrometer
Kafka and Spring Boot: performance tuning and optimization.

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