This training focuses on Kafka architecture, broker management, topic configuration, partitioning, replication, consumer group management, monitoring, security, and performance tuning.
Overview
Apache Kafka for Administrators Training is a practical, hands-on program designed to equip learners with the skills required to install, configure, manage, and optimize Kafka clusters in production environments. This training focuses on Kafka architecture, broker management, topic configuration, partitioning, replication, consumer group management, monitoring, security, and performance tuning. Participants will gain real-world experience in maintaining highly available, scalable, and fault-tolerant real-time streaming platforms.
Learning Outcomes
Participants will gain strong administrative expertise in Apache Kafka, enabling them to manage distributed streaming systems, ensure high availability, and optimize real-time data pipelines in enterprise environments.
Duration & Delivery Mode
14 hours
Target Audience
โข Kafka Administrators and System Administrators
โข Big Data Engineers and Platform Engineers
โข DevOps and Cloud Engineers
โข Data Engineers working on streaming systems
โข IT Professionals managing real-time data platforms
Pre-requisites
โข Basic understanding of Linux/Unix operating system
โข Familiarity with distributed systems concepts
โข Basic knowledge of networking and messaging systems
โข Understanding of command-line tools
Skillset Achieved
โข Apache Kafka cluster installation and configuration
โข Broker, topic, and partition management
โข Consumer group administration and offset handling
โข Kafka monitoring and performance tuning
โข Fault tolerance and high availability setup
โข Security configuration (authentication and authorization basics)
โข Troubleshooting Kafka cluster issues
Course Outcome
Upon completion of this training, participants will be able to install, configure, and manage Apache Kafka clusters in production environments. They will be capable of monitoring system health, optimizing performance, ensuring data reliability, and maintaining scalable real-time streaming platforms.
Course Outline
Introduction to Kafka Architecture and Setup
โข Overview of Kafka ecosystem and components
โข Kafka brokers, topics, partitions, and replication
โข Installation and cluster setup basics
โข Producer and consumer workflow overview
Kafka Cluster Administration Basics
โข Creating and managing topics
โข Partition assignment and replication factors
โข Consumer groups and offset management
โข Basic cluster monitoring tools
Kafka Monitoring and Performance Management
โข Monitoring Kafka brokers and clusters
โข Log management and debugging techniques
โข Performance tuning strategies
โข Handling broker failures and recovery
Security and Production Best Practices
โข Authentication and authorization basics (SSL/SASL overview)
โข Access control and user management
โข High availability and fault tolerance strategies
โข Best practices for production Kafka environments
Assessment Topics
โข Kafka architecture and components
โข Cluster installation and configuration
โข Topic and partition management
โข Consumer group administration
โข Monitoring and troubleshooting
โข Performance tuning and optimization
โข Security and access control
Evaluation
โข Hands-on Kafka cluster setup exercises
โข Topic and partition configuration tasks
โข Consumer group and offset management exercises
โข Troubleshooting and performance tuning assignments
Course Materials
Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.
Certification
Participants who successfully complete the training will receive an AcadNXT Certification in Apache Kafka for Administrators Training, validating their expertise in Kafka cluster administration, real-time streaming management, fault tolerance, and performance optimization.
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What Our Students Say
โThe training gave me strong practical knowledge of Kafka cluster setup and management.โ
โExcellent hands-on sessions covering monitoring and troubleshooting Kafka systems.โ
โThe course made Kafka administration and security concepts very clear.โ
โVery structured training with real-world Kafka operational scenarios.โ
โThis training helped me confidently manage production Kafka environments.โ