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Course Outline
Module 1: Introduction to the Architecture and Configuration of the Confluent Apache Kafka Cluster
- Kafka's role in modern data pipelines.
- Differences between Apache Kafka and Confluent Kafka.
- Core components: producers, consumers, brokers, topics, and partitions.
- Kafka cluster deployment models and scaling considerations.
Module 2: Zookeeper Quorum Configuration
- Understanding Zookeeper.
- Zookeeper’s role within a Kafka cluster.
- Determining Zookeeper Quorum size.
- Zookeeper configuration guidelines.
- Implementing SSH on our servers.
- Practical exercise: Zookeeper configuration (as a team and as a service).
- Utilising the Zookeeper Command Line Interface (CLI).
- Practical exercise: Zookeeper Quorum configuration.
- Exploring the Zookeeper internal file system.
- Performance factors affecting Zookeeper.
- Demonstration of management tools for Zookeeper and Zoonavigator.
Module 3: Kafka Cluster Configuration
- Foundational Kafka concepts.
- Kafka configuration parameters.
- Practical exercise: Configuring Kafka brokers.
- Practical exercise: Executing Kafka commands.
- Practical exercise: Configuring a Kafka Multi-Broker Cluster.
- Practical exercise: Testing the Kafka cluster.
- Verifying connectivity to the Kafka cluster.
- Configuring Advertised.listeners: the most critical setting.
- Topic configuration details.
- Configuration for downloading and ingesting messages into topics.
- Practical exercise: 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 exercise: Modifying Kafka broker configuration.
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 Spring framework.
- Monitoring metrics and tools (Confluent Control Center, Elasticsearch, etc.).
- Managing log files and offsets.
- Ensuring high availability and disaster recovery.
- Achieving high availability through replication.
- Tuning producer and consumer performance.
- Disaster recovery strategies.
- Failover control and data recovery techniques.
- Connector configuration.
- Implementing Kafka Connect.
- Implementing Kafka security features.
Summary and Next Steps
Requirements
- Familiarity with distributed systems and messaging concepts.
- Proficiency with the Linux command line.
- Basic understanding of networking and system administration.
Audience
- System administrators.
- DevOps engineers.
- Platform and infrastructure teams.
21 Hours
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 :)
