Microservices with Spring Cloud and Kafka Training Course

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 developers who wish to integrate Apache Kafka with existing databases and applications for processing, analysis, etc.

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

• Use Kafka Connect to ingest large amounts of data from a database into Kafka topics.
• Ingest log data generated by an application servers into Kafka topics.
• Make any collected data available for stream processing.
• Export data from Kafka topics into secondary systems for storage and analysis.

Master the implementation of end-to-end big data streaming solutions. Gain hands-on experience in real-time data preparation and maintenance using Informatica, Edge, Kafka, and Spark. This course covers software versions 10.2.1 and subsequent updates.

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.

This instructor-led, live training (available online or onsite) is designed for engineers who want to leverage Confluent (a distribution of Kafka) to construct and manage a real-time data processing platform for their applications.

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

• Install and configure the Confluent Platform.
• Utilize Confluent’s management tools and services to simplify Kafka operations.
• Store and process incoming stream data.
• Optimize and manage Kafka clusters.
• Secure data streams.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical sessions.
• Hands-on implementation in a live laboratory environment.

Course Customization Options

• This course is based on the open source version of Confluent: Confluent Open Source.
• To request a customized training for this course, please contact us to arrange.

Apache Kafka serves as a distributed streaming platform and stands as the de facto standard for developing data pipelines. It addresses a wide array of data processing requirements, functioning effectively as a message queue, distributed log, stream processor, and more.

The course begins by exploring the theoretical foundations of data pipelines, followed by an in-depth look at Kafka's core concepts. Participants will also examine key components such as Kafka Streams and Kafka Connect.

This instructor-led, live training in Kenya (online or onsite) is aimed at intermediate-level Java developers who wish to design, develop, deploy, and maintain microservices-based applications using Java frameworks like Spring Boot and Spring Cloud.

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

• Understand the principles and benefits of microservices architecture.
• Build and deploy microservices using Java and Spring Boot.
• Implement service discovery, configuration management, and API gateways.
• Secure, monitor, and scale microservices effectively.
• Deploy microservices using Docker and Kubernetes.

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.

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 instructor-led, live training in Kenya (online or onsite) is designed for data engineers, data scientists, and programmers who aim to utilize Apache Kafka features for data streaming with Python.

By the end of this training, participants will be able to use Apache Kafka to monitor and manage conditions in continuous data streams using Python programming.

In this instructor-led live training conducted in Kenya, participants will learn how to evaluate diverse technologies and approaches for designing a service-based system architecture. The training starts with a discussion and comparison of monolithic systems and service architectures, then delves into the specifics of microservice architecture.

Participants will have the chance to put their knowledge into practice by stepping through the creation and deployment of a set of proof-of-concept microservices built with Spring Cloud, Spring Boot, and Docker.
Additionally, the relevant infrastructure building blocks are examined to help participants identify the most suitable tools and approaches for varying organizational requirements.
By the conclusion of this training, participants will gain a solid understanding of Service-Oriented Architecture (SOA) and Microservice Architecture, as well as practical experience using Spring Cloud and associated Spring technologies to rapidly develop their own cloud-scale, cloud-ready microservices.

In this instructor-led live training held in Kenya, participants will learn the essentials of building microservices using Spring Cloud and Docker. Knowledge will be tested through exercises and the incremental development of sample microservices.

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

• Understand the fundamental principles of microservices.
• Use Docker to build containers for microservice applications.
• Build and deploy containerized microservices using Spring Cloud and Docker.
• Integrate microservices with discovery services and the Spring Cloud API Gateway.
• Use Docker Compose for end-to-end integration testing.

This instructor-led, live training in Kenya (online or on-site) targets intermediate-level developers and DevOps engineers who wish to build, deploy, and manage microservices using Spring Cloud and Docker.

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

• Develop microservices using Spring Boot and Spring Cloud.
• Containerize applications with Docker and Docker Compose.
• Implement service discovery, API gateways, and inter-service communication.
• Monitor and secure microservices in production environments.
• Deploy and orchestrate microservices using Kubernetes.

In this instructor-led live training session held in Kenya, we commence with a discussion on microservice architecture. Participants will test their knowledge through exercises and the guided, step-by-step development of sample microservices.

By the end of this training, participants will possess a firm grasp of how to use Spring Cloud and associated Spring technologies to rapidly develop their own cloud-scale, cloud-ready microservices.