Lambda serverless architecture
While the overall design and theme of a lambda architecture remain the same as a traditional system, there are variations and adaptations that we need to make. Perhaps more importantly, there are many different ways to implement this pattern using serverless systems or, at the very least, managed services.
Streaming data producers
Any system must start with data to process. On serverless platforms, there are multiple choices for streaming systems. Azure, Google Compute, and AWS all offer some form of streaming systems. I mentioned these in Chapter 6, Asynchronous Processing with the Messaging Pattern, when discussing the differences between queues and streams:
- Azure: Event Hubs
- AWS: Kinesis
- Google Compute Cloud: Cloud Dataflow
It's worth briefly touching on the topic of queues versus streams again. As mentioned in Chapter 6, Asynchronous Processing with the Messaging Pattern, one of the main differentiators is that queues are primarily designed for once-only processing...
