Microservices with Spring Cloud and Kafka Training Course

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

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

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

• Understand the components and architecture of Confluent Kafka.
• Deploy and manage Kafka brokers, Zookeeper quorums, and key services.
• Configure advanced features including security, replication, and performance tuning.
• Use management tools to monitor and maintain Kafka clusters.

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 in the UAE (available online or onsite) is designed for developers seeking to integrate Apache Kafka with existing databases and applications for data processing, analysis, and related tasks.

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 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 comprehensive big data streaming scenarios. Gain expertise in real-time data preparation and upkeep utilizing Informatica, Edge, Kafka, and Spark. This program encompasses software versions 10.2.1 and newer.

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 both online and onsite, is designed for engineers looking to leverage Confluent—a distribution of Kafka—to construct and manage a real-time data processing platform for their applications.

Upon completing 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 effectively.
• Optimize and manage Kafka clusters.
• Implement security measures for data streams.

Course Format

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

Customization Options

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

Apache Kafka serves as a distributed streaming platform and has become the industry standard for developing data pipelines. It addresses a wide array of data processing scenarios, functioning 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.

In this instructor-led, live training in the UAE (onsite or remote), participants will learn how to set up and integrate various Stream Processing frameworks with existing big data storage systems, related software applications, and microservices.

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

• Install and configure different Stream Processing frameworks, such as Spark Streaming and Kafka Streaming.
• Understand and select the most suitable framework for specific tasks.
• Process data continuously, concurrently, and on a record-by-record basis.
• Integrate Stream Processing solutions with existing databases, data warehouses, data lakes, and more.
• Integrate the most appropriate stream processing library with enterprise applications and microservices.

This instructor-led, live training in the UAE (online or onsite) targets 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, software developers, system administrators, and professionals seeking to master high-throughput distributed messaging systems. While the curriculum covers a broad range of topics, it can be customized to focus on specific areas, such as system administration, to better align with your particular requirements.

This instructor-led, live training in the UAE (online or onsite) is aimed at beginner-level / intermediate-level / advanced-level system administrators and operations engineers who wish to use Apache Kafka to deploy, secure, monitor, and troubleshoot 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.

In this instructor-led live training in the UAE, participants will learn how to evaluate different technologies and approaches for designing a service-based system architecture. The training begins with a discussion and comparison of monolithic systems and service architectures, followed by an in-depth look at microservice architecture.

Participants will have the opportunity to apply their knowledge by building and deploying a set of proof-of-concept microservices using Spring Cloud, Spring Boot, and Docker.
Additionally, the relevant infrastructure components will be reviewed to assist participants in identifying the most suitable tools and approaches for diverse organizational requirements.
Upon completion of this training, participants will possess a solid grasp of Service-Oriented Architecture (SOA) and Microservice Architecture, as well as practical experience utilizing Spring Cloud and associated Spring technologies to rapidly develop cloud-scale, cloud-ready microservices.

In this instructor-led live training in the UAE, participants will explore the foundational aspects of building microservices using Spring Cloud and Docker. Participants' understanding will be tested through exercises and the incremental development of sample microservices.

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

• Understand the fundamentals 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 the UAE (available online or onsite) is targeted at intermediate-level developers and DevOps engineers who seek to build, deploy, and manage microservices using Spring Cloud and Docker.

By the conclusion 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 in the UAE, we commence with an overview of microservice architecture. Participant knowledge is assessed via exercises and the incremental development of sample microservices.

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

Spring Cloud is a lightweight, open-source microservices framework designed for constructing Java applications within cloud environments. Netflix OSS comprises a collection of frameworks and libraries dedicated to microservices development. Spring Cloud integrates seamlessly with Netflix components, leveraging auto-configuration and a convention-over-configuration approach.

This instructor-led live training guides participants through the core principles of building microservices utilizing Spring Cloud and Netflix OSS. Participants will reinforce their knowledge through practical exercises and the incremental development of sample microservices.

Upon completion of this training, participants will possess a robust understanding of how to combine Spring Cloud, associated Spring technologies, and Netflix OSS to swiftly develop scalable, cloud-ready microservices.

Audience

• Java Developers

Course Format

• A blend of lectures, discussions, exercises, and extensive hands-on practice