In the dynamic field of data streaming and messaging, prominent solutions like RabbitMQ and Kafka have established themselves as leaders. However, the challenges of managing these solutions in a Kubernetes environment are significant.

This presentation commences with a concise overview of the essential principles of messaging.

It further investigates the challenges inherent in deploying messaging and streaming platforms within cloud environments, covering topics such as:
- Limitations encountered by traditional message brokers and data streaming platforms in Kubernetes.
- Strategies for independently, swiftly, and seamlessly scaling processing power and data.
- Ensuring robust message durability across a range of nodes and data centers.

To conclude, the presentation outlines the available strategies and solutions for implementing such a platform.