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Duration 16 hours
Course Outline
Module 1: Introduction to the Architecture and Cluster Configuration of Confluent Apache Kafka
- Overview of Apache Kafka and the Confluent Platform
- Core concepts: Kafka brokers, producers, consumers, and topics
- The function of Kafka within data streaming and messaging pipelines
- Key Confluent extensions: REST Proxy, Schema Registry, and Control Center
- Kafka cluster architecture: understanding brokers, partitions, and replication
Module 2: Configuring the Zookeeper Quorum
- Introduction to Zookeeper
- The specific role Zookeeper plays in managing a Kafka cluster
- Determining the appropriate Zookeeper quorum size
- Configuring Zookeeper settings
- Implementation of 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 the Zookeeper quorum setup
- Exploring Zookeeper’s internal file system
- Performance elements that impact Zookeeper operations
- Demo: Overview of Zookeeper management tools and Zoonavigator
Module 3: Kafka Cluster Configuration
- Fundamental Kafka concepts
- General Kafka configuration processes
- Hands-on: Setting up Kafka configuration on a single broker
- Hands-on: Executing standard Kafka commands
- Hands-on: Implementing a multi-broker (cluster) Kafka setup
- Hands-on: Testing the Kafka cluster
- Verifying connectivity to the Kafka cluster
- Configuring Advertised.listeners: a critical setting
- Topic configuration details
- Establishing message ingestion and delivery within topics
- Hands-on: Demonstrating Kafka resilience
- Kafka 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 sending and receiving methods (CLI, Java, Spring Framework)
- Monitoring and metrics tools (Confluent Control Center, Elasticsearch, etc.)
- Managing log files and offsets
- Strategies for high availability and disaster recovery
- Achieving high availability through replication
- Performance tuning for producers and consumers
- Formulating disaster recovery strategies
- Controlling failover and recovering data
- Setting up Connectors
- Implementing Kafka Connect
- Kafka security features and best practices
Summary and Next Steps
Requirements
- Hands-on experience with Linux-based systems and command-line utilities
- Knowledge of distributed systems principles
- Foundational understanding of networking and system configuration
Target Audience
- DevOps and SRE teams responsible for 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 :)
