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Duration 21 hours
Course Outline
Module 1: Overview of Confluent Apache Kafka Cluster Architecture and Configuration
- The function of Kafka within modern data pipelines
- Distinguishing between Apache Kafka and Confluent Kafka
- Essential elements: producers, consumers, brokers, topics, and partitions
- Deployment strategies for Kafka clusters and scaling factors
Module 2: Setting Up the Zookeeper Quorum
- Introduction to Zookeeper
- The function of Zookeeper within a Kafka cluster
- Determining the size of the Zookeeper Quorum
- Zookeeper configuration parameters
- Setting up SSH on server environments
- Practical Exercise: Configuring Zookeeper as both a team and a service
- Utilizing the Zookeeper Command Line Interface (CLI)
- Practical Exercise: Configuring the Zookeeper Quorum
- The internal file system of Zookeeper
- Performance variables 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
- Advertised.listeners setting: a critical configuration parameter
- Topic-specific configurations
- Settings for downloading and ingesting topic messages
- Practical Exercise: Demonstrating Kafka resilience
- Kafka performance: I/O operations
- Kafka performance: Network (RED) factors
- Kafka performance: RAM utilization
- Kafka performance: CPU usage
- Kafka performance: Operating System (OS) interactions
- Kafka performance: Additional factors
- Practical Exercise: Modifying Kafka broker configurations
Module 4: Advanced Kafka Configuration
- Configuring Landoop Kafka topic UI, Confluent REST Proxy, and Confluent Schema Registry
- Message transmission and reception via CLI, Java, and the Spring framework
- Monitoring metrics and utilizing tools such as Confluent Control Center and Elasticsearch
- Managing log files and offsets
- Establishing high availability and disaster recovery protocols
- Achieving high availability through replication
- Optimizing producer and consumer performance
- Disaster recovery methodologies
- Controlling failover and recovering data
- Setting up connectors
- Implementing Kafka Connect
- Security features in Kafka
Summary and Recommended Next Steps
Requirements
- Working knowledge of distributed systems and messaging principles
- Proficiency with the Linux command line
- Foundational 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 :)