Confluent and AWS Lambda can be used for building real-time, scalable, fault-tolerant event-driven architectures, ensuring that your application logic is executed reliably in response to specific business events. Confluent provides a streaming SaaS solution based on Apache Kafka® and built on Kora: The Cloud Native Apache Kafka Engine, allowing you to focus on building event-driven applications without operating the underlying infrastructure.

Apache Kafka® supports incredibly high throughput. It’s been known for feats like supporting 20 million orders per hour to get COVID tests out to US citizens during the pandemic. Kafka's approach to partitioning topics helps achieve this level of scalability. Topic partitions are the main "unit of parallelism" in Kafka. What’s a unit of parallelism? It’s like having multiple cashiers in the same store instead of one.

Recently, I got my hands dirty working with Apache Flink®. The experience was a little overwhelming. I have spent years working with streaming technologies but Flink was new to me and the resources online were rarely what I needed. Thankfully, I had access to some of the best Flink experts in the business to provide me with first-class advice, but not everyone has access to an expert when they need one.