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Duration 16 hours
Course Outline
Module 1: Introduction to Confluent Apache Kafka Architecture and Cluster Configuration
- Understanding Apache Kafka and the Confluent Platform.
- Core concepts of Kafka brokers, producers, consumers, and topics.
- The role of Kafka in data streaming and messaging pipelines.
- Confluent extensions: REST Proxy, Schema Registry, and Control Center.
- Kafka cluster architecture: examining brokers, partitions, and replication.
Module 2: Zookeeper Quorum Configuration
- Overview of Zookeeper.
- The function of Zookeeper within a Kafka cluster.
- Determining appropriate Zookeeper quorum sizes.
- Configuring Zookeeper settings.
- Implementing SSH on target servers.
- Hands-on: Configuring Zookeeper as both a team and a service.
- Utilizing the Zookeeper Command Line Interface (CLI).
- Hands-on: Establishing a Zookeeper quorum.
- Exploring Zookeeper's internal file system.
- Performance factors impacting Zookeeper.
- Demo: Utilizing Zookeeper management tools and Zoonavigator.
Module 3: Kafka Cluster Configuration
- Fundamentals of Kafka.
- Configuring Kafka parameters.
- 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.
- Verifying connectivity to the Kafka cluster.
- Configuring Advertised.listeners: key settings.
- Topic configuration details.
- Establishing 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 (e.g., Confluent Control Center, Elasticsearch).
- Managing log files and offsets.
- High availability and disaster recovery planning.
- Achieving high availability through replication.
- Performance tuning for producers and consumers.
- Strategies for disaster recovery.
- Controlling failover and managing data recovery.
- Setting up connectors.
- Implementing Kafka Connect.
- Kafka security features and best practices.
Summary and Next Steps
Requirements
- Practical experience with Linux-based systems and command-line utilities.
- A solid understanding of distributed systems concepts.
- Foundational knowledge of networking and system configuration.
Audience
- DevOps and SRE teams responsible for managing Kafka deployments.
- System administrators working with Confluent and Zookeeper.
- Kafka developers and architects focused on building scalable systems.
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 :)
