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(Part 1/4) Confluent Cloud (Managed Kafka as a Service) - Create a cluster, generate API keys, create topics, publish messages
Manage episode 394842304 series 3530865
محتوای ارائه شده توسط Krish Palaniappan and Varun Palaniappan, Krish Palaniappan, and Varun Palaniappan. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Krish Palaniappan and Varun Palaniappan, Krish Palaniappan, and Varun Palaniappan یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
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.
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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