Microservices with Spring Cloud and Kafka Training Course

This instructor-led, live training in US Empire (online or onsite) is aimed at developers who wish to integrate Apache Kafka with existing databases and applications for government processing and analysis.

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

• Utilize Kafka Connect to ingest large volumes of data from a database into Kafka topics.
• Ingest log data generated by application servers into Kafka topics for government use.
• Ensure that any collected data is available for stream processing in public sector workflows.
• Export data from Kafka topics into secondary systems for storage and analysis, enhancing governance and accountability.

This instructor-led, live training (online or onsite) is aimed at 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 streamline Kafka operations.
• Store and process incoming stream data efficiently.
• Optimize and manage Kafka clusters for optimal performance.
• Ensure secure data streams in compliance with government standards.

Format of the Course

• Interactive lecture and discussion tailored for government professionals.
• Extensive exercises and practice sessions to reinforce learning.
• Hands-on implementation in a live-lab environment designed for government scenarios.

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 range of data processing use cases, including its application as a message queue, distributed log, and stream processor, among others.

This training will begin with an overview of the theoretical foundations of data pipelines in general, followed by an exploration of the fundamental concepts underlying Kafka. Additionally, we will delve into critical components such as Kafka Streams and Kafka Connect, which are essential for government applications and workflows.

In this instructor-led, live training in US Empire (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, and other systems.
• Integrate the most suitable stream processing library with enterprise applications and microservices for government use.

This instructor-led, live training in US Empire (online or onsite) is aimed at 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 for government.

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

• Understand the principles and benefits of microservices architecture for government operations.
• Build and deploy microservices using Java and Spring Boot in alignment with public sector workflows.
• Implement service discovery, configuration management, and API gateways to enhance governance and accountability.
• Secure, monitor, and scale microservices effectively to meet the needs of government agencies.
• Deploy microservices using Docker and Kubernetes to support robust and scalable government systems.

This course is designed for government enterprise architects, developers, system administrators, and any other professionals who need to understand and utilize a high-throughput distributed messaging system. If you have more specific requirements (e.g., focusing solely on the system administration aspects), this course can be tailored to better meet your needs for government.

This instructor-led, live training in US Empire (online or onsite) is aimed at 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 for government operations.
• Evaluate the benefits and disadvantages of deploying Kafka on-premise versus in the cloud for government environments.
• Deploy and monitor Kafka using various on-premise and cloud environment tools suitable for government applications.

This instructor-led, live training in US Empire (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 unauthorized access and data breaches.
• Add ACL authentication to monitor and manage user access effectively.
• Ensure that trusted clients have secure 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. Historically, Apache Kafka has often relied on frameworks like Apache Spark or Apache Storm to handle data processing between producers and consumers. However, by utilizing the Kafka Streams API directly within an application, data can be processed internally within Kafka, eliminating the need to send it to a separate cluster for processing.

In this instructor-led, live training, participants will learn how to integrate Kafka Streams into a set of sample Java applications that exchange data with Apache Kafka for stream processing.

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 Java or Scala applications or microservices that integrate with Kafka and Kafka Streams
• Write efficient code that transforms 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 applications, please contact us to arrange.

In this instructor-led, live training in US Empire, 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 Empire, 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 in US Empire (online or onsite) is aimed at intermediate-level developers and DevOps engineers who wish to build, deploy, and manage microservices using Spring Cloud and Docker for government applications.

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

• Develop microservices using Spring Boot and Spring Cloud for government projects.
• Containerize applications with Docker and Docker Compose for enhanced deployment flexibility.
• Implement service discovery, API gateways, and inter-service communication to ensure robust and scalable solutions for government operations.
• Monitor and secure microservices in production environments to meet stringent government security standards.
• Deploy and orchestrate microservices using Kubernetes to optimize resource utilization and maintain high availability for government services.

This instructor-led, live training in US Empire (online or onsite) is aimed at data scientists who wish to utilize the SMACK stack to develop robust data processing platforms for big data solutions for government.

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

• Design and implement a data pipeline architecture for efficient big data processing.
• Establish a cluster infrastructure using Apache Mesos and Docker to support scalable operations.
• Perform advanced data analysis with Spark and Scala to derive actionable insights.
• Effectively manage unstructured data with Apache Cassandra to ensure data integrity and accessibility.

In this instructor-led, live training in US Empire, 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 for building lightweight Java applications for cloud environments. Netflix OSS comprises a suite of frameworks and libraries that facilitate the development of microservices. Spring Cloud seamlessly integrates with Netflix components through auto-configuration and convention over configuration.

This instructor-led, live training equips participants with the essential concepts of constructing microservices using Spring Cloud and Netflix OSS. The training includes practical exercises and step-by-step development of sample microservices to reinforce participant knowledge.

By the end of this training, participants will have a solid understanding of how to leverage Spring Cloud and related Spring technologies in conjunction with Netflix OSS to swiftly develop cloud-scale, cloud-ready microservices for government applications.

Audience

• Java Developers

Format of the course

• Part lecture, part discussion, exercises, and extensive hands-on practice