Apache Kafka | Net Core

Introduction to Apache Kafka

• Understanding the need for Apache Kafka

• Kafka's role in modern data architectures

• Overview of Kafka's features and use cases

• Installation and setup of Kafka clusters

Kafka Architecture

• Deep dive into Kafka's architecture

• Understanding topics, partitions, and replicas

• Kafka brokers, Zookeeper, and their roles

• Producers and consumers in Kafka

• Kafka Connect and Kafka Streams

Kafka Core Concepts

• Messages, records, and offsets

• Serialization and deserialization in Kafka

• Consumer groups and offsets management

• Fault tolerance and data durability in Kafka

• Retention policies and log compaction

Introduction to Kafka Topics

• Understanding the role of Kafka Topics in the Kafka ecosystem

• Overview of Kafka Topic partitions, replicas, and leaders

• Use cases for Kafka Topics in real-time data processing applications

Creating and Managing Kafka Topics

• Creating Kafka Topics using Kafka Confluent

• Managing Kafka Topic configurations, retention policies, and compaction

Kafka Topic Partitions

• Understanding Kafka Topic partitions and their significance

• Configuring partitioning strategies for Kafka Topics

• Managing partition rebalancing and leader elections

Introduction to Kafka Producers

• Understanding the role of Kafka Producers in the Kafka ecosystem

• Overview of Kafka Producers' key components and responsibilities

Implementing Kafka Producers

• Building Kafka Producers using Kafka client libraries  ( C#)

• Writing data to Kafka topics with synchronous and asynchronous producers

• Handling serialization and deserialization of data in Kafka Producers

Error Handling and Retries

• Handling errors and retries in Kafka Producers

• Configuring retry behavior and error handling strategies

Introduction to Kafka Consumers

• Understanding the role of Kafka Consumers in the Kafka ecosystem

• Overview of Kafka Consumers' key components and responsibilities

• Use cases for Kafka Consumers in real-time data processing applications

Kafka Consumer Configuration

• Configuring Kafka Consumers for optimal performance and reliability

• Understanding key Kafka Consumer configurations (group ID, auto-commit, etc.)

• Fine-tuning Kafka Consumer settings for specific use cases

Implementing Kafka Consumers

• Building Kafka Consumers using Kafka client libraries (C#)

• Subscribing to Kafka topics and consuming messages using different methods

• Handling deserialization and processing of data in Kafka Consumers

Developing with Kafka

• Building Kafka producers and consumers in C#,Asp.Net Core API/MVC

• Microservice Communication With Apache Kafka

• Handling errors and retries in Kafka applications