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Course Outline
Module 1: Introduction to Confluent Apache Kafka Architecture and Cluster Configuration
- What is Apache Kafka and the Confluent Platform?
- Kafka broker, producer, consumer, and topic fundamentals
- The role of Kafka in data streaming and messaging pipelines
- Confluent extensions: REST Proxy, Schema Registry, Control Center
- Kafka cluster architecture: brokers, partitions, and replication
Module 2: Zookeeper Quorum Configuration
- What is Zookeeper?
- Zookeeper’s role in a Kafka cluster
- Zookeeper quorum size
- Zookeeper configuration
- Implementing SSH on our servers
- Hands-on: Zookeeper configuration (as a team and as a service)
- Using the Zookeeper Command Line Interface (CLI)
- Hands-on: Zookeeper quorum setup
- Zookeeper’s internal file system
- Performance factors affecting Zookeeper
- Demo: Zookeeper management tools and Zoonavigator
Module 3: Kafka Cluster Configuration
- Kafka basics
- Kafka configuration
- Hands-on: Kafka configuration on a single broker
- Hands-on: Executing Kafka commands
- Hands-on: Kafka multi-broker (cluster) setup
- Hands-on: Kafka cluster testing
- Can I connect to my Kafka cluster?
- Advertised.listeners configuration: key setting
- Topic configuration
- Setting up message ingestion and delivery in topics
- Hands-on: Demonstrating Kafka resilience
- Kafka performance: I/O, network, RAM, CPU, OS
- Kafka performance: other factors
- Hands-on: How to modify broker configurations
Module 4: Advanced Kafka Configuration
- Landoop Kafka Topics UI, Confluent REST Proxy, Confluent Schema Registry configuration
- Sending and receiving messages (CLI, Java, Spring Framework)
- Metrics and monitoring tools (Confluent Control Center, Elasticsearch, etc.)
- Log files and offset management
- High availability and disaster recovery
- Ensuring high availability with replication
- Performance tuning (producer/consumer)
- Disaster recovery strategies
- Failover control and data recovery
- Connectors setup
- Kafka Connect implementation
- Kafka security features
Summary and Next Steps
Requirements
- Experience with Linux-based systems and command-line tools
- Familiarity with distributed systems concepts
- Understanding of basic networking and system configuration
Audience
- DevOps and SRE teams managing Kafka deployments
- System administrators working with Confluent and Zookeeper
- Kafka developers and architects responsible for scalable systems
16 Hours
Testimonials (5)
Sufficient hands on, trainer is knowledgable
Chris Tan
Course - A Practical Introduction to Stream Processing
That I had it in the first place.
Peter Scales - CACI Ltd
Course - Apache NiFi for Developers
Intercollegial communication with training participants.
Andrzej Szewczuk - Izba Administracji Skarbowej w Lublinie
Course - Apache NiFi for Administrators
Machine Translated
Recalling/reviewing keypoints of the topics discussed.
Paolo Angelo Gaton - SMS Global Technologies Inc.
Course - Building Stream Processing Applications with Kafka Streams
Informative and had correct level of detail I believe.
