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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
- Distinctions between Apache Kafka and Confluent Kafka
- Essential components: producers, consumers, brokers, topics, and partitions
- Deployment models and scaling strategies for Kafka clusters
Module 2: Configuring Zookeeper Quorum
- Introduction to Zookeeper
- The function of Zookeeper within a Kafka cluster
- Determining Zookeeper Quorum size
- Zookeeper configuration settings
- Setting up SSH on our servers
- Practical session: Configuring Zookeeper (as a team and as a service)
- Utilizing the Zookeeper Command Line Interface (CLI)
- Practical session: Setting up Zookeeper Quorum
- Zookeeper's internal file system
- Performance factors influencing Zookeeper
- Demonstration of Zookeeper management tools and Zoonavigator
Module 3: Kafka Cluster Configuration
- Fundamental Kafka concepts
- Configuring Kafka
- Practical session: Kafka broker configuration
- Practical session: Executing Kafka commands
- Practical session: Configuring a Kafka Multi-Broker Cluster
- Practical session: Testing Kafka clusters
- Verifying connectivity to your Kafka cluster
- Configuring Advertised.listeners: a critical setting
- Topic configuration details
- Settings for downloading and ingesting messages within topics
- Practical session: Demonstrating Kafka resilience
- Kafka performance: I/O operations
- Kafka performance: Network (RED)
- Kafka performance: RAM usage
- Kafka performance: CPU utilization
- Kafka performance: Operating System (OS) interactions
- Kafka performance: Other factors
- Practical session: Modifying Kafka broker configurations
Module 4: Advanced Kafka Configuration
- Setting up Landoop Kafka topic UI, Confluent REST Proxy, and Confluent Schema Registry
- Sending and receiving messages via CLI, Java, and the Spring framework
- Monitoring metrics and utilizing tools (Confluent Control Center, Elasticsearch, etc.)
- Managing log files and offsets
- High availability and disaster recovery planning
- Ensuring high availability through replication
- Optimizing producer and consumer performance
- Disaster recovery strategies
- Controlling failover and recovering data
- Configuring connectors
- Implementing Kafka Connect
- Kafka security features
Summary and 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 :)
