IoT devices generate vast amounts of data with varying degrees of importance, urgency, and security requirements on an irregular basis. This data requires collection, processing, analysis, and utilization to deliver valuable insights and timely responses without violating any of the requirements.

The challenge is to design a data processing architecture that is scalable, reliable, secure, and cost-effective while minimizing complexity and avoiding the overhead of managing servers and infrastructure.

In this session, attendees will gain insights into leveraging AWS services such as AWS Lambda, Amazon S3, Amazon DynamoDB, Amazon Kinesis, and more to architect highly scalable and cost-effective data processing pipelines. We'll delve into real-world use cases and best practices for orchestrating serverless workflows that seamlessly handle diverse data streams.

By the end of the session, attendees will have the know-how and tools to design scalable and effective serverless data processing solutions on AWS. This will enable them to explore new opportunities for their projects and organizations, with or without IoT.