Course Outline
Overview of Distributed Messaging Systems
- Practical Use Cases
- Alternative Solutions to Kafka
Kafka API
- Producer API
- High Level Consumer API
- Simple Consumer API
- Kafka Hadoop Consumer API
Configuration
- Setting Up New Producers
- Broker Configuration
- Consumer and Producer Settings
Design
- Design Motivation
- Data Persistence
- System Efficiency
- The Producer Component
- The Consumer Component
- Message Delivery Semantics
- Replication Mechanisms
Implementation
- API Architecture
- Network Layer
- Message Handling
- Message Formatting
- Log Management
- Data Distribution
Basic Kafka Operations
- Adding and Removing Topics
- Modifying Topic Settings
- Executing Graceful Shutdowns
- Leader Balancing
- Verifying Consumer Position
- Mirroring Data Across Clusters
- Cluster Expansion
- Broker Decommissioning
- Increasing Replication Factor
Other
- Datacenter Considerations
- Key Server Configurations
- Key Client Configurations
- Production Environment Settings
- Monitoring Strategies
- ZooKeeper Integration
Requirements
Essential system administration capabilities and a solid understanding of any object-oriented programming language.
Testimonials (7)
Good prepared testing envoirment
Maciej Grabski
Course - Distributed Messaging with Apache Kafka
The documents
Jing Li - si ke xi tong (zhong guo) yan fa you xian gong si hang zhou fen gong si
Course - Distributed Messaging with Apache Kafka
Summary for the day, using white board to explain things step by step and the personal use cases that we are tasked to do.
Chee Meng Lee - CSIT
Course - Distributed Messaging with Apache Kafka
The preparation of virtual environments for participants to use and perform hands on learning.
marcus lim
Course - Distributed Messaging with Apache Kafka
Concepts, the way it presented, very communicative, very helpful, wide knowledge.
Sreenivasulu Narasingu - Welcome Real-time (ASPAC) Pte Ltd
Course - Distributed Messaging with Apache Kafka
The training was steered in the direction what the team wanted. The trainer is too good with vast experience in handling concepts like capability, performance, development and deployment standards and very swift in the training in addressing queries from different levels like regarding code, design, architecture and best practices etc.
Sarita Velagapudi - Welcome Real-time (ASPAC) Pte Ltd
Course - Distributed Messaging with Apache Kafka
The trainer really knows Kafka very well, and has a lot of production experience in the matter.
