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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
During the exercises, James explained me every step whereever I was getting stuck in more detail. I was completely new to NIFI. He explained the actual purpose of NIFI, even the basics such as open source. He covered every concept of Nifi starting from Beginner Level to Developer Level.
Firdous Hashim Ali - MOD A BLOCK
Course - Apache NiFi for Administrators
That I had it in the first place.
Peter Scales - CACI Ltd
Course - Apache NiFi for Developers
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.
