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Data Resilience with Spring and RabbitMQ Event Streaming

Data Resilience with Spring and RabbitMQ Event Streaming

2h 4mIntermediate2024-09-10

Authors

Gregory Green

Gregory Green

Advisory Solution Engineer at VMware

Course details

RabbitMQ is a widely deployed messaging solution and Spring is a popular framework for building modern Java applications. In this course, Gregory Green explains how Spring and RabbitMQ can be used to build a resilient data architecture for critical applications. Learn about RabbitMQ features such as quorum queues, streams, and multi-site replication. Gregory also reviews Spring projects like Spring Cloud and AMQP that simplify building production-ready applications. Plus, learn how Kubernetes improves resiliency for Spring applications and RabbitMQ.

Skills covered

RabbitMQSpringData Resource ManagementDatabase ManagementOpen SourceDeep Dive (X:Y)

Concepts

0. Introduction

  • 01 - Introduction to data resiliency
  • 02 - Understanding data resiliency
  • 03 - Introducing RabbitMQ for data resilience
  • 04 - Introducing Spring and RabbitMQ for resiliency
  • 05 - Course source code

1. RabbitMQ Resilience

  • 06 - Install and deploy RabbitMQ
  • 07 - Communicate with RabbitMQ exchanges and queues
  • 08 - Consuming reliable with RabbitMQ quorum queues
  • 09 - Consuming with RabbitMQ Streams

2. Java Spring Resilience

  • 10 - Consuming reliably with Spring and RabbitMQ quorum queues
  • 11 - Publishing reliably with Spring and RabbitMQ
  • 12 - Consuming reliably with Spring and RabbitMQ Streams

3. Kubernetes Resiliency with Rabbit and Spring

  • 13 - Introducing Kubernetes resiliency
  • 14 - Install Kubernetes
  • 15 - Install RabbitMQ on Kubernetes
  • 16 - Deploy Spring on Kubernetes

4. Spring, RabbitMQ, and Kubernetes Resiliency on the Cloud

  • 17 - Deploy RabbitMQ and Spring with Kubernetes on the public cloud
  • 18 - Demonstrate resilience with Spring, RabbitMQ, and Kubernetes on the public cloud
  • 19 - Multi-site resilience with Spring, RabbitMQ, and Kubernetes on the public cloud

Conclusion

  • 20 - Next steps

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