(Part 1/4): Confluent Cloud (Managed Kafka) – Create a cluster, create topics, publish messages

In this podcast, the host explores Confluent Cloud, a fully managed Kafka service. The host shares their experience with RabbitMQ and Kafka and explains the value of using a managed service like Confluent Cloud. They walk through the process of signing up for an account, creating a cluster, generating API keys, and creating topics. The host also discusses the use of connectors and introduces ksqlDB and Apache Flink. They explore cluster settings, message consumption, and additional features of Confluent Cloud. The podcast concludes with a summary of the topics covered.

Takeaways

Confluent Cloud is a fully managed Kafka service that provides added value through pre-built connectors and ease of use.

Creating a cluster, generating API keys, and creating topics are essential steps in getting started with Confluent Cloud.

ksqlDB and Apache Flink offer stream processing capabilities and can be integrated with Confluent Cloud.

Cluster settings, message consumption, and additional features like stream lineage and stream designer enhance the functionality of Confluent Cloud.

Using a managed service like Confluent Cloud allows developers to focus on solving customer problems rather than managing infrastructure.

Chapters

00:00 Introduction

02:25 Exploring Confluent Cloud

09:14 Creating a Cluster and API Keys

11:00 Creating Topics

13:20 Sending Messages to Topics

15:12 Introduction to ksqlDB and Apache Flink

17:03 Exploring Connectors

25:44 Cluster Settings and Configuration

28:05 Consuming Messages

35:20 Stream Lineage and Stream Designer

38:44 Exploring Additional Features

44:21 Summary and Conclusion

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