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Duration 21 hours
Course Outline
Module 1: Introduction to the architecture and configuration of the Confluent Apache Kafka cluster
- The role of Kafka in contemporary data pipelines
- Distinguishing between Apache Kafka and Confluent Kafka
- Core components: producers, consumers, brokers, topics, and partitions
- Kafka cluster deployment models and scaling strategies
Module 2: Zookeeper Quorum Configuration
- Overview of Zookeeper
- The function of Zookeeper within a Kafka cluster
- Determining Zookeeper Quorum size
- Zookeeper setup and configuration
- Implementing SSH on server environments
- Practical: Configuring Zookeeper (as a team and as a service)
- Utilizing the Zookeeper Command Line Interface (CLI)
- Practical: Configuring the Zookeeper Quorum
- Exploring the Zookeeper internal file system
- Performance factors influencing Zookeeper
- Demonstration of management tools for Zookeeper and Zoonavigator
Module 3: Kafka Cluster Configuration
- Foundational Kafka concepts
- Configuring Kafka settings
- Practical: Configuring Kafka brokers
- Practical: Executing Kafka commands
- Practical: Setting up a Kafka Multi-Broker Cluster
- Practical: Testing the Kafka cluster
- Verifying connectivity to the Kafka cluster
- Configuring Advertised.listeners: a critical setting
- Managing topic configuration
- Settings for downloading and ingesting messages into topics
- Practical: Demonstrating Kafka resilience
- Kafka performance: I/O
- Kafka performance: Network (RED)
- Kafka performance: RAM
- Kafka performance: CPU
- Kafka performance: Operating System (OS)
- Kafka performance: Other factors
- Practical: Modifying Kafka broker configurations
Module 4: Advanced Kafka Configuration
- Configuring Landoop Kafka topic user interface, Confluent REST Proxy, and Confluent Schema Registry
- Sending and receiving messages via CLI, Java, and the Spring framework
- Monitoring metrics using tools such as Confluent Control Center and Elasticsearch
- Managing log files and offsets
- High availability and disaster recovery frameworks
- Achieving high availability through replication
- Optimizing producer and consumer performance
- Formulating disaster recovery strategies
- Controlling failover and managing data recovery
- Configuring connectors
- Implementing Kafka Connect
- Integrating Kafka security features
Summary and Next Steps
Requirements
- Working knowledge of distributed systems and messaging concepts
- Proficiency with the Linux command line
- 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 :)
