(Part 1/4) Confluent Cloud (Managed Kafka as a Service) - Create a cluster, generate API keys, create topics, publish messages
Software Development, Finance and AI11 Tammi 2024

(Part 1/4) Confluent Cloud (Managed Kafka as a Service) - Create a cluster, generate API keys, 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

Snowpal Products:

Jaksot(410)

Aspect Programming (or even other flavors of it) come in real handy to solve certain types of problems

Aspect Programming (or even other flavors of it) come in real handy to solve certain types of problems

If you want to add or improve your logging or caching layers, you definitely want to consider doing them using Aspect Programming. Those are some common examples but there are numerous scenarios where touching your "core" coding layers (or, tiers or services) is not a good idea. Aspects come in quite handy on those occasions.

11 Heinä 20204min

Come up with a design (in mind) before you get to your computer

Come up with a design (in mind) before you get to your computer

To make the best use of your time at work, and/or when you are in front of a machine, it is a good idea to come up with a design (no matter how high level) in mind. This way, you can hit the ground running when you get to your machine. I've seen time and again that this approach works for me.

11 Heinä 20201min