Duration 5 days – 35 hrs.
Overview
The “Kafka Training” course is designed to provide participants with comprehensive knowledge and practical skills in using Apache Kafka, an open-source stream processing platform. This course is ideal for data engineers, software developers, and IT professionals who want to learn how to build, deploy, and manage Kafka-based data streaming applications. Participants will gain hands-on experience in Kafka architecture, installation, configuration, and administration.
Objectives
- Understand the fundamentals of Kafka and its architecture.
- Learn to install, configure, and manage Kafka clusters.
- Master the concepts of producers, consumers, and topics.
- Explore Kafka Streams and Kafka Connect.
- Develop skills in monitoring and troubleshooting Kafka deployments.
- Understand best practices for Kafka security and performance tuning.
Audience
- Data engineers
- Software developers
- System administrators
- IT professionals
- Anyone interested in stream processing and real-time data pipelines
Pre-requisites
- Familiarity with basic Linux commands and environment.
- Experience with programming languages like Java or Python.
- Basic knowledge of network protocols and configurations.
- Basic understanding of concepts related to distributed computing and data systems.
- Basic understanding of database concepts and SQL.
Course Content
Day 1: Introduction to Apache Kafka
Overview of Kafka
- Introduction to Kafka and its use cases
- Kafka architecture and components
- Key concepts: topics, partitions, and logs
- Kafka ecosystem (Kafka Connect, Kafka Streams, KSQL)
Kafka Installation and Setup
- Installing Kafka and Zookeeper
- Configuring Kafka brokers
- Setting up a multi-broker cluster
- Basic Kafka CLI commands
Day 2: Producers and Consumers
Producers
- Introduction to Kafka producers
- Producer API and configurations
- Sending messages to Kafka
- Partitioning strategies and keys
Consumers
- Introduction to Kafka consumers
- Consumer API and configurations
- Reading messages from Kafka
- Consumer groups and offset management
Hands-on Lab
- Writing producer and consumer applications
- Working with Kafka topics
Day 3: Kafka Streams and Kafka Connect
Kafka Streams
- Introduction to Kafka Streams
- Stream processing concepts
- Building stream processing applications
- Stateful vs. stateless processing
Kafka Connect
- Introduction to Kafka Connect
- Configuring source and sink connectors
- Managing connectors and tasks
- Common use cases for Kafka Connect
Hands-on Lab
- Implementing Kafka Streams applications
- Setting up Kafka Connect with different data sources
Day 4: Kafka Administration and Monitoring
Cluster Management
- Managing Kafka brokers and topics
- Expanding and shrinking Kafka clusters
- Rebalancing partitions
- Configuring replication and reliability
Monitoring and Metrics
- Monitoring Kafka performance
- Key metrics and their interpretation
- Using tools like Kafka Manager and Grafana
- Setting up alerts and notifications
Security in Kafka
- Introduction to Kafka security
- Configuring SSL for encryption
- Implementing SASL for authentication
- Managing ACLs for authorization
Day 5: Performance Tuning and Troubleshooting
Performance Tuning
- Factors affecting Kafka performance
- Tuning Kafka brokers and clients
- Optimizing producers and consumers
- Best practices for high throughput and low latency
Troubleshooting Kafka
- Common issues and their resolution
- Analyzing logs and metrics
- Debugging connectivity and performance problems
- Case studies and real-world scenarios
Hands-on Lab
- Performance tuning exercises
- Troubleshooting Kafka deployments
