Chapter 4

1. What is event sourcing?
   • This is an architectural pattern that relies on keeping track of events that change the state of the system instead of keeping track of the state per se. It brings benefits such as lower latency, free audit logs, and debugability.
2. What are the practical consequences of the CAP theorem?
   • As network partitions happen, if you want a distributed system, you'll need to choose between consistency and availability. In cases of partitions, you can either return stale data, an error, or risk timeouts.
3. What can you use Netflix's Chaos Monkey for?
   • It can help you prepare for unexpected downtime of your services.
4. Where can caching be applied?
   • Either on your client's side, in front of web servers, databases, or applications, or on a host near your potential client, depending on your needs.
5. How should you prevent your app from going down when an entire data center does?
   • By using geodes.
6. Why should you use an API gateway?
   • To simplify...