Event-Driven Microservices with Spring Boot and Confluent Cloud | Livestreams 012

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A microservices-based approach is universally recognized as the right way to develop modern applications. Technologies like Spring Boot and the Spring Framework are ideal choices for developing and deploying your microservices (regardless of your language of choice—Java or Kotlin), with Apache Kafka® as the microservices communication layer. This approach provides highly scalable and robust communication between services that allow you to unlock data in your existing monolithic and/or legacy systems via Kafka Connect.

In this hands-on workshop with a Halloween twist, you will:
-Develop a small, functioning, microservices-based web application using Kafka Streams with Java or Kotlin
-Use Spring Boot to handle tedious and not-so-exciting tasks (like application configuration or container images generation)
-Use Confluent Cloud, fully managed Apache Kafka as a service, to integrate the services
-Use Spring for Kafka as the API between the two

If you want to use Spring and Kafka together, apply the right patterns, avoid the wrong anti-patterns, and utilize a robust toolset for building modern Java web applications, look no further. This workshop is suited for Spring Boot (Java or Kotlin) developers who want to learn more about Apache Kafka.

Use the promo code SPRINGSTREAMS200 to receive an additional $200 of free Confluent Cloud usage.

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TIMESTAMPS
0:00 - Stream starts
1:40 - Hello and welcome!
10:00 - Checking prerequisites
23:35 - Spinning up your Confluent Cloud environment with Kafka and ksqlDB
30:00 - QA break
35:10 - Validating your Confluent Cloud environment
44:15 - Replicating local database data to Confluent Cloud with the Kafka Connect JDBC Connector
51:25 - QA break
1:02:56 - Atomic transaction processing with Kafka Streams
1:17:58 - QA break
1:25:35 - Enriching the stream with ksqlDB
1:45:45 - QA break
1:56:27 - 🔥 IMPORTANT: Tear down the cloud environment to avoid charges

ABOUT CONFLUENT

#confluent #apachekafka #microservices
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0:00 - Stream starts
1:40 - Hello and welcome!
10:00 - Checking prerequisites
23:35 - Spinning up your Confluent Cloud environment with Kafka and ksqlDB
30:00 - QA break
35:10 - Validating your Confluent Cloud environment
44:15 - Replicating local database data to Confluent Cloud with the Kafka Connect JDBC Connector
51:25 - QA break
1:02:56 - Atomic transaction processing with Kafka Streams
1:17:58 - QA break
1:25:35 - Enriching the stream with ksqlDB
1:45:45 - QA break
1:56:27 - 🔥 IMPORTANT: Tear down the cloud environment to avoid charges

Confluent
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ccloud git:(master) ./ccloud_stack_create.sh
'jq' is not found. Install 'jq' and try again

and now?

fritzthecat