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Duration 16 hours
Course Outline
Module 1: Overview of Confluent Apache Kafka Architecture and Cluster Configuration
- An introduction to Apache Kafka and the Confluent Platform
- Core concepts of Kafka brokers, producers, consumers, and topics
- The significance of Kafka in data streaming and messaging pipelines
- Key Confluent extensions: REST Proxy, Schema Registry, and Control Center
- Understanding Kafka cluster architecture: brokers, partitions, and replication
Module 2: Configuring Zookeeper Quorums
- An introduction to Zookeeper
- The role of Zookeeper within a Kafka cluster
- Determining appropriate Zookeeper quorum sizes
- Configuring Zookeeper parameters
- Implementing SSH on servers
- Hands-on: Configuring Zookeeper as both a team and a service
- Utilizing the Zookeeper Command Line Interface (CLI)
- Hands-on: Establishing a Zookeeper quorum
- Exploring Zookeeper’s internal file system
- Performance considerations impacting Zookeeper
- Demo: Reviewing Zookeeper management tools and Zoonavigator
Module 3: Configuring Kafka Clusters
- Fundamentals of Kafka
- Key configuration parameters
- Hands-on: Configuring Kafka on a single broker
- Hands-on: Executing standard Kafka commands
- Hands-on: Setting up a multi-broker Kafka cluster
- Hands-on: Testing the Kafka cluster
- Verifying connectivity to the Kafka cluster
- Configuring Advertised.listeners: essential settings
- Topic configuration best practices
- Setting up message ingestion and delivery through topics
- Hands-on: Demonstrating Kafka’s resilience capabilities
- Kafka performance factors: I/O, network, RAM, CPU, and OS
- Additional factors influencing Kafka performance
- Hands-on: 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
- Using metrics and monitoring tools such as Confluent Control Center and Elasticsearch
- Managing log files and offsets
- Implementing high availability and disaster recovery
- Achieving high availability through replication
- Performance tuning for producers and consumers
- Developing disaster recovery strategies
- Controlling failover and recovering data
- Setting up connectors
- Implementing Kafka Connect
- Exploring Kafka security features
Summary and Next Steps
Requirements
- Proficiency with Linux-based operating systems and command-line interfaces
- Working knowledge of distributed systems principles
- Foundational understanding of networking and system configuration
Target Audience
- DevOps and Site Reliability Engineering (SRE) teams overseeing Kafka deployments
- System administrators managing Confluent and Zookeeper services
- 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 :)
