Microservices with Spring Cloud and Kafka Training Course

This instructor-led, live training in US (online or onsite) is aimed at developers who wish to integrate Apache Kafka with existing databases and applications for processing, analysis, etc., specifically for government projects. By the end of this training, participants will be able to: - Utilize Kafka Connect to efficiently ingest large volumes of data from a database into Kafka topics. - Integrate log data generated by application servers into Kafka topics. - Ensure that any collected data is readily available for stream processing. - Export data from Kafka topics into secondary systems for storage and analysis, enhancing data management capabilities for government operations.

This instructor-led, live training (online or onsite) is designed for engineers who wish to use Confluent, a distribution of Kafka, to build and manage a real-time data processing platform for government applications.

By the end 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 efficiently.
• Optimize and manage Kafka clusters effectively.
• Ensure the security of data streams.

Format of the Course

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

Course Customization Options

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

Apache Kafka is a distributed streaming platform that has become the de facto standard for constructing data pipelines. It addresses a wide array of use cases related to data processing, including its function as a message queue, distributed log, and stream processor. This overview will begin with an exploration of the theoretical foundations of data pipelines in general, followed by a detailed examination of the core concepts underlying Kafka. Additionally, we will delve into key components such as Kafka Streams and Kafka Connect, which are essential for government agencies and other organizations looking to leverage advanced data processing capabilities.

In this instructor-led, live training in US (onsite or remote), participants will learn how to set up and integrate various Stream Processing frameworks with existing big data storage systems and related software applications and microservices for government. By the end of this training, participants will be able to: - Install and configure different Stream Processing frameworks, such as Spark Streaming and Kafka Streams. - Understand and select the most appropriate 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, etc., ensuring seamless integration within government systems. - Choose and integrate the most suitable stream processing library with enterprise applications and microservices for government.

This instructor-led, live training (online or onsite) is designed for intermediate-level Java developers who wish to design, develop, deploy, and maintain microservices-based applications using Java frameworks such as Spring Boot and Spring Cloud. By the end of this training, participants will be able to: - Understand the principles and benefits of a 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 training is tailored to enhance the skills of government IT professionals in leveraging modern technologies for government projects.

This course is designed for government enterprise architects, developers, system administrators, and other professionals seeking to understand and utilize a high-throughput distributed messaging system. The content can be customized to address specific requirements, such as focusing solely on the system administration aspects, to better align with the unique needs of your agency or department.

This instructor-led, live training (available online or onsite) is designed for system administrators who wish to set up, deploy, manage, and optimize an enterprise-grade Kafka cluster for government use. By the end of this training, participants will be able to: - Set up and administer a Kafka Cluster. - Evaluate the benefits and disadvantages of deploying Kafka on-premise versus in the cloud. - Deploy and monitor Kafka using various tools suitable for both on-premise and cloud environments.

This instructor-led, live training in US (online or onsite) is aimed at software testers who wish to implement network security measures into an Apache Kafka application for government use. By the end of this training, participants will be able to: - Deploy Apache Kafka onto a cloud-based server. - Implement SSL encryption to prevent attacks. - Add ACL authentication to track and control user access. - Ensure credible clients have access to Kafka clusters using SSL and SASL authentication.

Kafka Streams is a client-side library designed for building applications and microservices that process data within the Kafka messaging system. Traditionally, Apache Kafka has relied on external systems like Apache Spark or Apache Storm for data processing between producers and consumers. By integrating the Kafka Streams API directly into an application, data can be processed efficiently within Kafka, eliminating the need to send it to a separate cluster. In this instructor-led, live training, participants will learn how to integrate Kafka Streams into Java applications that handle data streaming to and from Apache Kafka. By the end of this training, participants will be able to: - Understand the features and advantages of Kafka Streams over other stream processing frameworks. - Process stream data directly within a Kafka cluster. - Develop a Java or Scala application or microservice that integrates with Kafka and Kafka Streams. - Write concise code to transform input Kafka topics into output Kafka topics. - Build, package, and deploy the application. **Audience** - Developers **Format of the Course** - Part lecture, part discussion, exercises, and extensive hands-on practice **Notes** - To request a customized training for government or other organizations, please contact us to arrange.

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

Participants are given the opportunity to apply their knowledge as they create and deploy a set of proof-of-concept microservices using Spring Cloud, Spring Boot, and Docker. Additionally, the relevant infrastructure components are examined to assist participants in determining the most appropriate tools and methods for various organizational needs.
By the end of this training, participants will have a comprehensive understanding of Service-Oriented Architecture (SOA) and Microservice Architecture, as well as practical experience with Spring Cloud and related Spring technologies for rapidly developing cloud-scale, cloud-ready microservices for government use.

In this instructor-led, live training in US, participants will gain a comprehensive understanding of building microservices using Spring Cloud and Docker. The training emphasizes practical application through exercises and the step-by-step development of sample microservices tailored for government use cases.

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

• Comprehend the foundational principles of microservices architecture.
• Leverage Docker to create containers for microservice applications, ensuring alignment with public sector workflows.
• Develop and deploy containerized microservices using Spring Cloud and Docker, optimizing for government operations.
• Integrate microservices with discovery services and the Spring Cloud API Gateway, enhancing governance and accountability.
• Utilize Docker Compose for comprehensive end-to-end integration testing, ensuring robust and secure solutions for government.

This instructor-led, live training (online or onsite) is designed for intermediate-level developers and DevOps engineers who aim to build, deploy, and manage microservices using Spring Cloud and Docker. By the end of this training, participants will be able to: - Develop microservices with Spring Boot and Spring Cloud. - Containerize applications using 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, ensuring alignment with best practices for government workflows and governance.

This instructor-led, live training in US (online or onsite) is aimed at data scientists who wish to utilize the SMACK stack to develop robust data processing platforms for government. By the end of this training, participants will be able to: - Implement a data pipeline architecture suitable for processing large-scale data. - Develop a cluster infrastructure using Apache Mesos and Docker. - Analyze data effectively with Spark and Scala. - Manage unstructured data efficiently with Apache Cassandra.

In this instructor-led, live training in US, we begin with an in-depth discussion of microservice architecture. Participants will apply their knowledge through practical exercises and the step-by-step development of sample microservices, tailored to meet the needs of public sector workflows and governance.

By the end of this training, participants will have a comprehensive understanding of how to leverage Spring Cloud and related Spring technologies to rapidly develop cloud-scale, cloud-ready microservices for government applications.

Spring Cloud is an open-source framework designed to facilitate the development of lightweight microservices applications in Java for cloud environments. Netflix OSS comprises a suite of frameworks and libraries that support the creation of microservices. Spring Cloud seamlessly integrates with Netflix components through auto-configuration and convention over configuration, enhancing developer productivity. This instructor-led, live training provides participants with an in-depth understanding of building microservices using Spring Cloud and Netflix OSS. The course includes practical exercises and step-by-step development of sample microservices to reinforce learning. By the end of this training, participants will have a comprehensive grasp of how to leverage Spring Cloud and associated Spring technologies alongside Netflix OSS to swiftly develop cloud-scale, cloud-ready microservices for government applications. **Audience** - Java Developers **Format of the Course** - Part lecture, part discussion, with exercises and extensive hands-on practice