Chapter 12. Scaling to the Cloud with Cloud Haskell

In this chapter, we will look at how distributed systems programming fits with Haskell. The motivation behind distributed systems is multifaceted. On one end, there is more computing power available with multiple physical machines. Then there are other resources besides computing power: storage space, network bandwidth, and other devices. Yet another advantage of proper distributed systems is resilience. With a growing number of machines, there are a growing number of failure points. A proper distributed system should be able to operate under arbitrary process failures.

Cloud Haskell is a relatively new but mature platform that's modelled from Erlang's wonderful execution model. Cloud Haskell brings distributed processes and process management to Haskell with modular network transport and fine-grained message and channel-based communication.

In this chapter, we will explore the Cloud Haskell platform. No deep knowledge...