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Duration 21 hours
Course Outline
Module 1: Introduction to Confluent Apache Kafka Cluster Architecture and Configuration
- The role of Kafka in contemporary data pipelines
- Distinctions between Apache Kafka and Confluent Kafka
- Core components: producers, consumers, brokers, topics, and partitions
- Kafka cluster deployment models and scaling strategies
Module 2: Zookeeper Quorum Configuration
- Overview of Zookeeper
- Zookeeper’s function within a Kafka cluster
- Zookeeper Quorum sizing
- Zookeeper configuration details
- Implementing SSH on servers
- Practical: Configuring Zookeeper (as a team and as a service)
- Utilizing the Zookeeper Command Line Interface (CLI)
- Practical: Configuring Zookeeper Quorum
- Zookeeper internal file system
- Performance factors influencing Zookeeper
- Demonstration of management tools for Zookeeper and Zoonavigator
Module 3: Kafka Cluster Configuration
- Basic Kafka concepts
- Kafka configuration parameters
- Practical: Configuring Kafka brokers
- Practical: Executing Kafka commands
- Practical: Configuring a Kafka Multi-Broker Cluster
- Practical: Testing Kafka clusters
- Verifying connectivity to the Kafka cluster
- Advertised.listeners configuration: A critical setting
- Topic configuration
- Settings for downloading and ingesting messages in topics
- Practical: 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: Modifying Kafka broker configuration
Module 4: Advanced Kafka Configuration
- Landoop Kafka topic user interface, Confluent REST Proxy, and Confluent Schema Registry configuration
- Sending and receiving messages (via CLI, Java, and Spring framework)
- Monitoring metrics and tools (Confluent Control Center, Elasticsearch, etc.)
- Log files and offset management
- High availability and disaster recovery
- Maintaining high availability through replication
- Optimizing producer and consumer performance
- Disaster recovery strategies
- Failover control and data recovery
- Connector configuration
- Kafka Connect implementation
- Kafka security features
Summary and Next Steps
Requirements
- Knowledge of distributed systems and messaging concepts
- Proficiency with the Linux command line
- Foundational understanding of networking and system administration
Audience
- System administrators
- DevOps engineers
- Platform and infrastructure teams
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 :)
