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Duration 16 hours
Course Outline
Module 1: Introduction to Confluent Apache Kafka Architecture & Cluster Configuration
- Overview of Apache Kafka and the Confluent Platform
- Core concepts: Kafka brokers, producers, consumers, and topics
- The significance of Kafka in data streaming and messaging workflows
- Confluent platform extensions: REST Proxy, Schema Registry, and Control Center
- Understanding cluster architecture: brokers, partitions, and replication
Module 2: Configuring Zookeeper Quorums
- Introduction to Zookeeper
- The function of Zookeeper within a Kafka cluster
- Determining optimal Zookeeper quorum sizes
- Configuring Zookeeper effectively
- 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: Setting up a Zookeeper quorum
- Exploring Zookeeper’s internal file system structure
- Key performance factors impacting Zookeeper
- Demo: Overview of Zookeeper management tools and Zoonavigator
Module 3: Configuring Kafka Clusters
- Fundamental Kafka concepts
- General Kafka configuration procedures
- Hands-on: Configuring Kafka on a single broker
- Hands-on: Executing essential Kafka commands
- Hands-on: Establishing a multi-broker (cluster) environment
- Hands-on: Testing the Kafka cluster setup
- Verifying connectivity to the Kafka cluster
- Configuring advertised.listeners: critical settings
- Managing topic configurations
- Setting up message ingestion and delivery within topics
- Hands-on: Demonstrating Kafka’s resilience
- Performance considerations: I/O, network, RAM, CPU, and OS
- Additional factors influencing Kafka performance
- Hands-on: Modifying broker configurations
Module 4: Advanced Kafka Configuration
- Configuring Landoop Kafka Topics UI, Confluent REST Proxy, and Confluent Schema Registry
- Message handling via CLI, Java, and Spring Framework
- Utilizing metrics and monitoring tools (e.g., Confluent Control Center, Elasticsearch)
- Managing log files and offsets
- Strategies for high availability and disaster recovery
- Achieving high availability through replication
- Tuning producer/consumer performance
- Developing disaster recovery plans
- Controlling failover and managing data recovery
- Setting up connectors
- Implementing Kafka Connect
- Enhancing Kafka security features
Summary and Recommended Next Steps
Requirements
- Proficiency with Linux-based systems and command-line utilities
- Working knowledge of distributed systems principles
- Basic understanding of networking and system configuration
Target Audience
- DevOps and SRE teams overseeing 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 :)