Confluent: Developing a Streaming Microservices Application




Enrichment with ksqlDB

Create streams and tables in ksqlDB CLI

Confluent: Developing a Streaming Microservices Application

1시간 30분 크레딧 7개

This lab was developed with our partner, Confluent. Your personal information may be shared with Confluent, the lab sponsor, if you have opted-in to receive product updates, announcements, and offers in your Account Profile.


Google Cloud Self-Paced Labs


This lab is based on a small microservices ecosystem, showcasing an order management workflow, such as one might find in retail and online shopping. It is built using Kafka Streams, whereby business events that describe the order management workflow propagate through this ecosystem. The blog post Building a Microservices Ecosystem with Kafka Streams and ksqlDB outlines the approach used in the lab.


In this lab, you will:

  • Persist events into Kafka by producing records that represent customer orders

  • Write a service that validates customer orders

  • Write a service that joins streaming order information with streaming payment information and data from a customer database

  • Define one set of criteria to filter records in a stream based on some criteria

  • Create a session window to define five-minute windows for processing

  • Create a state store for the Inventory Service

  • Create one persistent query that enriches the orders stream with customer information using a stream-table join

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  • Google Cloud Console에 대한 임시 액세스 권한을 얻습니다.
  • 초급부터 고급 수준까지 200여 개의 실습이 준비되어 있습니다.
  • 자신의 학습 속도에 맞춰 학습할 수 있도록 적은 분량으로 나누어져 있습니다.
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