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Duration 21 hours
Course Outline
Module 1: Overview of Confluent Apache Kafka Architecture and Configuration
- The role of Kafka in modern data ecosystems
- Distinguishing Apache Kafka from Confluent Kafka
- Key elements: producers, consumers, brokers, topics, and partitions
- Deployment strategies and scaling considerations for Kafka clusters
Module 2: Configuring the Zookeeper Quorum
- Introduction to Zookeeper
- The function of Zookeeper within a Kafka cluster
- Determining appropriate Zookeeper Quorum sizes
- Zookeeper setup procedures
- Implementing SSH across server environments
- Lab: Configuring Zookeeper as both a team and a service
- Utilizing the Zookeeper Command Line Interface (CLI)
- Lab: Setting up the Zookeeper Quorum
- Managing the Zookeeper internal file system
- Performance variables impacting Zookeeper
- Demonstration of Zookeeper management tools and Zoonavigator
Module 3: Configuring the Kafka Cluster
- Fundamental Kafka concepts
- General Kafka configuration
- Lab: Setting up Kafka brokers
- Lab: Running Kafka commands
- Lab: Configuring a Multi-Broker Kafka Cluster
- Lab: Testing Kafka cluster integrity
- Verifying connectivity to the Kafka cluster
- Advertised.listeners: A critical configuration setting
- Topic-specific configurations
- Settings for downloading and ingesting topic messages
- Lab: Demonstrating Kafka resilience
- Kafka performance metrics: I/O
- Kafka performance metrics: Network (RED)
- Kafka performance metrics: RAM
- Kafka performance metrics: CPU
- Kafka performance metrics: Operating System (OS)
- Additional performance factors
- Lab: Modifying Kafka broker configurations
Module 4: Advanced Kafka Configuration
- Configuring Landoop Kafka topic UI, Confluent REST Proxy, and Confluent Schema Registry
- Message handling via CLI, Java, and the Spring framework
- Monitoring metrics and utilizing tools (e.g., Confluent Control Center, Elasticsearch)
- Managing log files and offsets
- Establishing high availability and disaster recovery
- Achieving high availability through replication
- Optimizing producer and consumer performance
- Formulating disaster recovery strategies
- Controlling failover and managing data recovery
- Setting up connectors
- Implementing Kafka Connect
- Integrating Kafka security features
Conclusion and Future Steps
Requirements
- Working knowledge of distributed systems and messaging concepts
- Proficiency with the Linux command line
- Fundamental understanding of networking and system administration
Intended 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 :)
