(Part 3/4) Confluent Cloud (Managed Kafka as a Service) - Create a Go client to consume messages

Polyglot Software Development

In this podcast episode, the host continues from the previous episodes in the Confluent Cloud series and focuses on consuming messages. The consumer code is reviewed, and the concept of group ID is explained. The process of initializing the consumer and subscribing to topics is demonstrated. The use of channels in Go for message consumption is explored. The host troubleshoots issues related to group ID and discusses the inconsistencies observed. The allocation of messages among multiple consumers with different group IDs is examined. The episode concludes with a summary of the learnings and an invitation to explore Snowpals' products and APIs.

Takeaways

• Consuming messages in Confluent Cloud involves initializing the consumer and subscribing to topics.
• The group ID determines which consumers belong to which group and affects work sharing and fault tolerance.
• Messages can be consumed using channels in Go, allowing for continuous listening and processing.
• Troubleshooting issues with group ID and understanding message allocation among multiple consumers is important.
• Snowpal offers a range of products and APIs for software development and architecture.

Chapters

00:00 Introduction and Recap

00:31 Starting to Consume Messages

01:44 Consumer Code Overview

03:08 Consumer Group ID04:04Initializing the Consumer

04:32 Consuming Messages with Channels

05:00 Publishing Messages and Consuming

06:25 Group ID and Offset

07:07 Troubleshooting Group ID08:29Group ID and Producer

09:12 Inconsistencies and Debugging

10:24 Cluster Settings and Group ID

11:08 Cluster and Topic Configuration

12:24 Consumer Group ID and Partitions

13:22 Consumer Group ID and Message Filtering

16:29 Consumer Group ID and Work Sharing

17:49 Producer and Consumer Group ID

18:35 Multiple Consumers and Group ID

19:54 Multiple Consumers with Different Group IDs

20:50 Consuming Messages with Multiple Consumers

22:07 Parallelism and Message Distribution

23:52 Consumer Group ID and Message Allocation

26:30 Consumer Group ID and Message Allocation (Continued)

28:30 Consumer Group ID and Message Allocation (Continued)

30:03 Consumer Group ID and Message Allocation (Continued)

35:45 Conclusion

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