Get in Touch
 Duration 16 hours

Course Outline

Module 1: Foundations of Confluent Apache Kafka Architecture and Cluster Configuration

  • Overview of Apache Kafka and the Confluent Platform
  • Core concepts: Kafka brokers, producers, consumers, and topics
  • The strategic role of Kafka in data streaming and messaging pipelines
  • Confluent extensions: REST Proxy, Schema Registry, and Control Center
  • Kafka cluster architecture: brokers, partitions, and replication mechanisms

Module 2: Configuring Zookeeper Quorums

  • Understanding Zookeeper
  • The role of Zookeeper within a Kafka cluster
  • Determining Zookeeper quorum size
  • Zookeeper configuration procedures
  • Implementing SSH on server infrastructure
  • Hands-on: Configuring Zookeeper (both as a team and as a service)
  • Utilizing the Zookeeper Command Line Interface (CLI)
  • Hands-on: Establishing Zookeeper quorum setup
  • Exploring Zookeeper’s internal file system
  • Performance factors influencing Zookeeper
  • Demo: Zookeeper management tools and Zoonavigator

Module 3: Configuring Kafka Clusters

  • Fundamentals of Kafka
  • General Kafka configuration
  • Hands-on: Configuring Kafka on a single broker
  • Hands-on: Executing Kafka commands
  • Hands-on: Setting up a Kafka multi-broker (cluster) environment
  • Hands-on: Testing Kafka cluster functionality
  • Verification: Can I connect to my Kafka cluster?
  • Advertised.listeners configuration: critical settings
  • Topic configuration details
  • Setting up message ingestion and delivery within topics
  • Hands-on: Demonstrating Kafka resilience
  • Kafka performance: I/O, network, RAM, CPU, and OS considerations
  • Kafka performance: additional influencing factors
  • Hands-on: Modifying broker configurations

Module 4: Advanced Kafka Configuration

  • Configuring Landoop Kafka Topics UI, Confluent REST Proxy, and Confluent Schema Registry
  • Sending and receiving messages via CLI, Java, and Spring Framework
  • Metrics and monitoring tools (Confluent Control Center, Elasticsearch, etc.)
  • Log files and offset management
  • High availability and disaster recovery planning
  • Ensuring high availability through replication
  • Performance tuning for producers and consumers
  • Disaster recovery strategies
  • Failover control and data recovery procedures
  • Connector setup
  • Kafka Connect implementation
  • Kafka security features

Summary and Next Steps

Requirements

  • Proficiency with Linux-based systems and command-line utilities
  • Working knowledge of distributed systems concepts
  • Comprehension of fundamental networking and system configuration principles

Target Audience

  • DevOps and SRE teams responsible for managing Kafka deployments
  • System administrators working with Confluent and Zookeeper
  • Kafka developers and architects tasked with building scalable systems

Number of participants


Price per participant

Testimonials (2)

Upcoming Courses

Related Categories