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Duration 21 hours (3 days)
Course Outline
Module 1: Overview of Confluent Apache Kafka Architecture and Configuration
- The role of Kafka in contemporary data pipelines
- Key distinctions between Apache Kafka and Confluent Kafka
- Essential components: producers, consumers, brokers, topics, and partitions
- Deployment models and scaling strategies for Kafka clusters
Module 2: Configuring Zookeeper Quorums
- Introduction to Zookeeper
- The function of Zookeeper within a Kafka cluster
- Determining Zookeeper Quorum size
- Configuring Zookeeper
- Setting up SSH on servers
- Hands-on: Configuring Zookeeper (standalone and as a service)
- Utilizing the Zookeeper Command Line Interface (CLI)
- Hands-on: Setting up Zookeeper Quorums
- The Zookeeper internal file system
- Performance considerations for Zookeeper
- Demonstration of Zookeeper management tools and Zoonavigator
Module 3: Kafka Cluster Setup and Configuration
- Foundational Kafka concepts
- Core Kafka configurations
- Hands-on: Configuring Kafka brokers
- Hands-on: Running Kafka commands
- Hands-on: Setting up a Kafka Multi-Broker Cluster
- Hands-on: Testing the Kafka cluster
- Verifying cluster connectivity
- Advertised.listeners configuration: A critical setting
- Managing topic configurations
- Configuration for message ingestion and retrieval
- Hands-on: Demonstrating Kafka resilience
- Kafka performance: I/O operations
- Kafka performance: Network (RED)
- Kafka performance: RAM usage
- Kafka performance: CPU load
- Kafka performance: Operating System (OS) optimization
- Kafka performance: Other factors
- Hands-on: Modifying Kafka broker configurations
Module 4: Advanced Kafka Configurations
- Configuring Landoop Kafka topic UI, Confluent REST Proxy, and Confluent Schema Registry
- Message exchange via CLI, Java, and the Spring framework
- Monitoring metrics using tools such as Confluent Control Center and Elasticsearch
- Managing log files and offsets
- Ensuring high availability and disaster recovery
- Achieving high availability through replication
- Optimizing producer and consumer performance
- Developing disaster recovery strategies
- Controlling failover and recovering data
- Setting up connectors
- Implementing Kafka Connect
- Enabling Kafka security features
Summary and Recommended Next Steps
Requirements
- Working knowledge of distributed systems and messaging principles
- Proficiency with the Linux command-line interface
- Fundamental understanding of networking and system administration
Target Audience
- System administrators
- DevOps engineers
- Platform and infrastructure teams
Testimonials (2)
Possibility to perform independent exercises in the training environment.
Tomasz - PKO Zycie Towarzystwo Ubezpieczen S.A.
Course - Kafka for Administrators
Very practical examples. The trainer has tried to keep a pace where everybody is able to go with even though the group was quite inhomogeneous regarding the knowhow. He has provided a lot of support to basically everybody who asked for it :)