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Duration 21 hours
Course Outline
Module 1: Overview of Confluent Apache Kafka Cluster Architecture and Configuration
- The role of Kafka in contemporary data pipelines
- Distinguishing between Apache Kafka and Confluent Kafka
- Key components: producers, consumers, brokers, topics, and partitions
- Deployment models and scaling considerations for Kafka clusters
Module 2: Configuring Zookeeper Quorums
- An introduction to Zookeeper
- The function of Zookeeper within a Kafka cluster
- Determining appropriate Zookeeper Quorum sizes
- Configuring Zookeeper settings
- Setting up SSH on servers
- Practical exercise: Configuring Zookeeper as a team and service
- Utilizing the Zookeeper Command Line Interface (CLI)
- Practical exercise: Configuring the Zookeeper Quorum
- Understanding the Zookeeper internal file system
- Performance factors impacting Zookeeper
- Demonstration of Zookeeper management tools and Zoonavigator
Module 3: Configuring the Kafka Cluster
- Fundamental Kafka concepts
- General Kafka configuration settings
- Practical exercise: Configuring Kafka brokers
- Practical exercise: Running Kafka commands
- Practical exercise: Setting up a multi-broker Kafka cluster
- Practical exercise: Testing the Kafka cluster
- Verifying connectivity to the Kafka cluster
- Configuring Advertised.listeners: A critical setting
- Topic-specific configurations
- Settings for downloading and ingesting messages into topics
- Practical exercise: Demonstrating Kafka resilience
- Kafka performance: I/O operations
- Kafka performance: Network (RED)
- Kafka performance: RAM utilization
- Kafka performance: CPU usage
- Kafka performance: Operating System (OS) considerations
- Kafka performance: Other factors
- Practical exercise: Modifying Kafka broker configurations
Module 4: Advanced Kafka Configuration
- Configuring the Landoop Kafka topic UI, Confluent REST Proxy, and Confluent Schema Registry
- Messaging workflows via CLI, Java, and the Spring framework
- Monitoring metrics and utilizing tools such as Confluent Control Center and Elasticsearch
- Managing log files and offsets
- Strategies for high availability and disaster recovery
- Achieving high availability through replication
- Optimizing producer and consumer performance
- Formulating disaster recovery strategies
- Controlling failover and executing data recovery
- Configuring connectors
- Implementing Kafka Connect
- Exploring Kafka security features
Course Summary and Recommended Next Steps
Requirements
- Working knowledge of distributed systems and messaging concepts
- Proficiency with the Linux command line
- Fundamental understanding of networking and system administration
Target 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 :)
