Online Apache Kafka Training in Kenya

Confluent Apache Kafka is an enterprise-grade distributed event streaming platform built on Apache Kafka. It supports high-throughput, fault-tolerant data pipelines and real-time streaming applications.

This instructor-led, live training (online or onsite) is aimed at intermediate-level engineers and administrators who wish to deploy, configure, and optimize Confluent Kafka clusters in production environments.

By the end of this training, participants will be able to:

• Install, configure, and operate Confluent Kafka clusters with multiple brokers.
• Design high-availability setups using Zookeeper and replication techniques.
• Tune performance, monitor metrics, and apply recovery strategies.
• Secure, scale, and integrate Kafka with enterprise environments.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Confluent Apache Kafka serves as a distributed event streaming platform engineered for high-throughput, fault-tolerant data pipelines and real-time analytics.

This instructor-led live training, available online or onsite, targets intermediate-level system administrators and DevOps professionals aiming to install, configure, monitor, and troubleshoot Confluent Apache Kafka clusters.

Upon completion of this training, participants will be able to:

• Comprehend the components and architecture of Confluent Kafka.
• Deploy and manage Kafka brokers, Zookeeper quorums, and essential services.
• Configure advanced features such as security, replication, and performance tuning.
• Utilize management tools to monitor and maintain Kafka clusters.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practice sessions.
• Hands-on implementation within a live-lab environment.

Course Customization Options

• To request customized training for this course, please contact us to make arrangements.

This instructor-led, live training in Kenya (online or onsite) is aimed at intermediate-level Java developers who wish to integrate Apache Kafka into their applications for reliable, scalable, and high-throughput messaging.

By the end of this training, participants will be able to:

• Understand the architecture and core components of Kafka.
• Set up and configure a Kafka cluster.
• Produce and consume messages using Java.
• Implement Kafka Streams for real-time data processing.
• Ensure fault tolerance and scalability in Kafka applications.

This instructor-led, live training in Kenya (online or onsite) is designed for intermediate-level developers aiming to build big data applications with Apache Kafka.

Upon completion of this training, participants will be capable of:

• Developing Kafka producers and consumers to transmit and retrieve data from Kafka.
• Integrating Kafka with external systems via Kafka Connect.
• Writing streaming applications using Kafka Streams & ksqlDB.
• Connecting a Kafka client application to Confluent Cloud for cloud-based Kafka deployments.
• Gaining practical experience through hands-on exercises and real-world use cases.

This course is designed for enterprise architects, developers, system administrators, and anyone looking to comprehend and implement high-throughput distributed messaging systems. If you have specific learning objectives (for instance, focusing exclusively on the system administration aspects), this course can be customized to better fit your requirements.

This instructor-led, live training in Kenya (online or onsite) is designed for beginner-level, intermediate-level, and advanced-level system administrators and operations engineers who wish to deploy, secure, monitor, and troubleshoot Apache Kafka clusters.

By the end of this training, participants will be able to explain Kafka architecture and KRaft mode, operate and secure Kafka clusters, monitor performance and reliability, and resolve common production issues.