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Duration 16 hours
Course Outline
Module 1: Overview of Confluent Apache Kafka Architecture and Cluster Configuration
- Understanding Apache Kafka and the Confluent Platform
- Core concepts: Kafka brokers, producers, consumers, and topics
- The role of Kafka in data streaming and messaging pipelines
- Confluent-specific extensions: REST Proxy, Schema Registry, and Control Center
- Deep dive into Kafka cluster architecture: brokers, partitions, and replication
Module 2: Configuring Zookeeper Quorum
- Introduction to Zookeeper
- The role of Zookeeper within a Kafka cluster
- Determining appropriate Zookeeper quorum sizes
- Configuring Zookeeper parameters
- Implementing secure SSH access on servers
- Hands-on: Configuring Zookeeper (as a team and as a standalone service)
- Utilizing the Zookeeper Command Line Interface (CLI)
- Hands-on: Establishing a Zookeeper quorum
- Exploring Zookeeper’s internal file system
- Performance considerations affecting Zookeeper
- Demo: Managing Zookeeper using tools and Zoonavigator
Module 3: Configuring Kafka Clusters
- Refresher on Kafka fundamentals
- Key configuration parameters
- Hands-on: Configuring Kafka on a single broker
- Hands-on: Executing core Kafka commands
- Hands-on: Setting up a multi-broker Kafka cluster
- Hands-on: Testing Kafka cluster functionality
- Verifying cluster connectivity
- Configuring Advertised.listeners: critical settings
- Topic-level configuration strategies
- Setting up message ingestion and delivery pipelines
- Hands-on: Demonstrating Kafka resilience under failure scenarios
- Kafka performance factors: I/O, network, RAM, CPU, and OS tuning
- Additional performance considerations
- Hands-on: Modifying broker configurations
Module 4: Advanced Kafka Configuration
- Configuring Landoop Kafka Topics UI, Confluent REST Proxy, and Confluent Schema Registry
- Message production and consumption via CLI, Java, and Spring Framework
- Monitoring with tools such as Confluent Control Center and Elasticsearch
- Managing log files and offsets
- Architecting for high availability and disaster recovery
- Achieving high availability through replication
- Tuning producer and consumer performance
- Developing disaster recovery strategies
- Controlling failover and executing data recovery
- Setting up connectors
- Implementing Kafka Connect
- Enhancing Kafka security features
Summary and Path Forward
Requirements
- Hands-on experience with Linux-based operating systems and command-line interfaces
- Working knowledge of distributed system concepts
- Foundational understanding of networking principles and system configuration
Target Audience
- DevOps and Site Reliability Engineering (SRE) teams overseeing Kafka deployments
- System administrators managing Confluent and Zookeeper infrastructure
- Kafka developers and architects tasked with 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 :)
