FA-0139Software Development

Confluent Kafka with .NET

2-day intensive outline

Introduction

Why this course

In today's rapidly evolving technological landscape, the ability to process and analyze vast amounts of data in real-time is crucial for businesses to maintain a competitive edge. This has led to the widespread adoption of event streaming platforms like Apache Kafka. Confluent Kafka, an enterprise version of Apache Kafka, offers enhanced features and capabilities that make it easier to build robust, scalable, and real-time data pipelines.

.NET, a popular framework developed by Microsoft, provides a powerful environment for building a wide range of applications, from web and mobile apps to microservices and cloud-based solutions. Combining the strengths of .NET with Confluent Kafka allows developers to create efficient and scalable real-time data processing applications. This training course aims to equip participants with the knowledge and skills needed to integrate .NET applications with Confluent Kafka, enabling them to build modern, real-time data-driven applications that can handle large volumes of data with ease.

Learning outcomes

By the end of this training course, participants will be able to:

Understand the basics of event streaming and the role of Kafka in real-time data processing.
Set up and configure Confluent Kafka for use with .NET applications.
Develop .NET applications that can produce and consume messages from Kafka topics.
Implement advanced Kafka features such as stream processing and schema registry.
Integrate Confluent Kafka with other systems and services.
Troubleshoot and optimize Kafka-based .NET applications for performance and reliability.

Prerequisites

Participants should have:

Basic knowledge of .NET and C# programming.
Understanding of fundamental concepts in distributed systems.
Familiarity with basic database operations and SQL.
Some experience with messaging systems or event-driven architectures (preferred but not mandatory).
Access to a development environment with .NET Core SDK and Visual Studio installed.
Access to Confluent Cloud or a local Confluent Kafka setup.

Training outline

9 modules

01Introduction to Event Streaming and Kafka3 topics

Overview of event streaming
Introduction to Apache Kafka
1. History and evolution
2. Core concepts: producers, consumers, topics, partitions, brokers
Key use cases for Kafka

02Confluent Kafka2 topics

Introduction to Confluent Kafka
1. Differences between Apache Kafka and Confluent Kafka
2. Key features of Confluent Kafka
Setting up Confluent Kafka
1. Confluent Cloud vs. on-premise setup
2. Installing and configuring Confluent Kafka locally

03.NET and Kafka Integration2 topics

Introduction to the Confluent .NET Kafka client
Setting up a .NET project for Kafka integration
1. Installing necessary NuGet packages
2. Configuring Kafka client in .NET

04Producing Messages to Kafka4 topics

Understanding Kafka producers
Implementing a basic Kafka producer in .NET
1. Creating and configuring a producer
2. Sending messages to Kafka topics
Error handling and logging in Kafka producers
Optimizing producer performance

05Consuming Messages from Kafka5 topics

Understanding Kafka consumers
Implementing a basic Kafka consumer in .NET
1. Creating and configuring a consumer
2. Reading messages from Kafka topics
Managing consumer groups and offsets
Error handling and logging in Kafka consumers
Optimizing consumer performance

06Advanced Kafka Features2 topics

Kafka Streams API
1. Introduction to stream processing
2. Implementing stream processing in .NET
3. Use cases and examples of stream processing
Kafka Schema Registry
1. Introduction to schema management
2. Using Schema Registry with .NET applications
3. Avro serialization and deserialization

07Integrating Kafka with Other Systems2 topics

Connecting Kafka to databases
1. Using Kafka Connect for database integration
2. Example: Integrating Kafka with SQL Server
Integrating Kafka with microservices
1. Event-driven microservices architecture
2. Examples of microservices integration with Kafka

08Monitoring and Managing Kafka5 topics

Monitoring Kafka clusters
1. Tools and techniques for monitoring
2. Key metrics to monitor
Managing Kafka clusters
1. Scaling Kafka clusters
2. Ensuring high availability and fault tolerance
3. Troubleshooting and Optimizing Kafka Applications
Common issues and solutions in Kafka-based applications
Performance tuning for Kafka producers and consumers
Best practices for building reliable Kafka applications

09Hands-On Labs and Projects4 topics

Lab: Setting up Confluent Kafka locally
Lab: Building a .NET Kafka producer and consumer
Project: Implementing a real-time data pipeline with Kafka and .NET
Project: Stream processing with Kafka Streams and .NET

This comprehensive training outline will help participants gain a deep understanding of .NET development using Confluent Kafka, equipping them with the skills needed to build and manage real-time data-driven applications.

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