We covered a lot of ground in this chapter. Best practices for writing efficient JavaScript that the V8 interpreter can handle properly were outlined, including an exploration of garbage collection, the advantages of Node streams, and how JavaScript prototypes should be deployed in order to save memory. Continuing with the theme of reducing storage costs, we explored various ways in which Redis can help with storing large amounts of data in a space-efficient way.

Additionally, we looked at strategies to build composable, distributed systems. In the discussion on microservices, we touched on approaches to network many individual services and build the networks they can use to communicate with each other—from pub/sub to Seneca's pattern and action models. Joined with the examples of caching techniques, a reasonably complete picture of the issues you might want to consider when planning out resource management in your application was established.

After you build up a reasonably sophisticated...