The rise of Data in Motion: Serverless and Cloud-Native Event Streaming with AWS on Confluent Cloud

Across an enterprise, data is continuously flowing, collected, processed, and stored - traditionally in batch mode, which doesn’t help with the need to gain real-time insights from this data. Consequently, the enterprise needs a data platform designed primarily for data in motion rather than data at rest.

Apache Kafka ® is now mainstream when it comes to data in motion. The Kafka API has become the de facto standard for event-driven architectures and event streaming. Unfortunately, running it yourself is often too expensive when you add factors like scaling, administration, support, security, creating connectors, and everything else that goes with it. Resources in enterprises are scarce: this applies to both the best team members and the budget.

The Cloud - as we all know - offers the perfect solution to these challenges. Many organisations are already using fully-managed cloud services such as AWS S3, DynamoDB, or Redshift. This creates an opportunity to implement fully-managed Kafka with ease using Confluent Cloud on AWS.

Join Kai Waehner of Confluent and Ash Mitchell of AWS for an online talk in which they discuss Managed Kafka, Confluent Cloud, AWS, and how the leading electronics retailer, AO.com, benefits from working with Confluent and AWS.