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Duration 16 hours
Course Outline
Module 1: Overview of Confluent Apache Kafka Architecture and Cluster Setup
- An introduction to Apache Kafka and the Confluent Platform.
- Foundational concepts of Kafka brokers, producers, consumers, and topics.
- The significance of Kafka in data streaming and messaging workflows.
- Confluent-specific extensions: REST Proxy, Schema Registry, and Control Center.
- Cluster architecture details: brokers, partitions, and replication mechanisms.
Module 2: Configuring Zookeeper Quorum
- Understanding Zookeeper and its purpose.
- The function of Zookeeper within a Kafka cluster.
- Determining the appropriate Zookeeper quorum size.
- Configuring Zookeeper components.
- 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 a Zookeeper quorum setup.
- Exploring Zookeeper’s internal file system.
- Performance considerations affecting Zookeeper.
- Demo: Managing Zookeeper using tools like Zoonavigator.
Module 3: Configuring Kafka Clusters
- Essential Kafka concepts.
- Basics of Kafka configuration.
- Hands-on: Configuring Kafka on a single broker.
- Hands-on: Running Kafka commands.
- Hands-on: Setting up a multi-broker Kafka cluster.
- Hands-on: Testing the Kafka cluster setup.
- Verifying connectivity to the Kafka cluster.
- Configuring advertised.listeners: key settings explained.
- Topic configuration details.
- Setting up message ingestion and delivery via topics.
- Hands-on: Demonstrating Kafka resilience in action.
- Performance factors: I/O, network, RAM, CPU, and OS.
- Additional performance influencing factors.
- Hands-on: Modifying broker configurations.
Module 4: Advanced Kafka Configuration
- Configuring Landoop Kafka Topics UI, Confluent REST Proxy, and Confluent Schema Registry.
- Messaging via CLI, Java, and the Spring Framework.
- Utilizing metrics and monitoring tools such as Confluent Control Center and Elasticsearch.
- Managing log files and offsets.
- Implementing high availability and disaster recovery protocols.
- Achieving high availability through replication.
- Performance tuning for producers and consumers.
- Developing disaster recovery strategies.
- Controlling failover and recovering data.
- Setting up connectors.
- Implementing Kafka Connect.
- Exploring Kafka security features.
Course Summary and Recommended Next Steps
Requirements
- Proficiency with Linux-based operating systems and command-line utilities.
- A solid understanding of distributed system concepts.
- Basic knowledge of networking principles and system configuration.
Target Audience
- DevOps and SRE teams responsible for managing Kafka deployments.
- System administrators working with Confluent platforms and Zookeeper.
- Kafka developers and architects tasked with designing 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 :)
