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Duration 16 hours
Course Outline
Module 1: Fundamentals of Confluent Apache Kafka Architecture and Cluster Setup
- Overview of Apache Kafka and the Confluent Platform
- Core concepts: brokers, producers, consumers, and topics
- The function of Kafka in data streaming and messaging pipelines
- Confluent enhancements: REST Proxy, Schema Registry, and Control Center
- Cluster architecture: understanding brokers, partitions, and replication
Module 2: Configuring Zookeeper Quorums
- Introduction to Zookeeper
- The role of Zookeeper within a Kafka cluster
- Determining Zookeeper quorum size
- Configuring Zookeeper settings
- Implementing SSH on servers
- Practical Session: Configuring Zookeeper (as a team and as a service)
- Utilizing the Zookeeper Command Line Interface (CLI)
- Practical Session: Establishing Zookeeper quorum configurations
- Exploring Zookeeper’s internal file system
- Key performance factors influencing Zookeeper
- Demonstration: Reviewing Zookeeper management tools and Zoonavigator
Module 3: Configuring Kafka Clusters
- Core Kafka concepts
- General Kafka configuration strategies
- Practical Session: Configuring Kafka on a single broker
- Practical Session: Running Kafka commands
- Practical Session: Setting up a multi-broker Kafka cluster
- Practical Session: Testing Kafka cluster integrity
- Verifying connectivity to the Kafka cluster
- Configuring Advertised.listeners: essential settings
- Topic configuration details
- Establishing message ingestion and delivery within topics
- Practical Session: Illustrating Kafka resilience
- Kafka performance factors: I/O, network, RAM, CPU, and OS
- Kafka performance: additional influencing factors
- Practical Session: Modifying broker configurations
Module 4: Advanced Kafka Configuration
- Configuring Landoop Kafka Topics UI, Confluent REST Proxy, and Confluent Schema Registry
- Sending and receiving messages via CLI, Java, and Spring Framework
- Monitoring tools and metrics (Confluent Control Center, Elasticsearch, etc.)
- Managing log files and offsets
- High availability and disaster recovery planning
- Achieving high availability through replication
- Performance tuning for producers and consumers
- Developing disaster recovery strategies
- Controlling failover and managing data recovery
- Setting up connectors
- Implementing Kafka Connect
- Exploring Kafka security features
Summary and Next Steps
Requirements
- Proficiency with Linux-based systems and command-line interfaces
- Working knowledge of distributed systems principles
- Foundational understanding of networking and system configuration
Target Audience
- DevOps and SRE teams overseeing Kafka deployments
- System administrators managing Confluent and Zookeeper infrastructure
- Kafka developers and architects focused on building scalable systems
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 :)
