The fastest query is the one you never run. In this post we'll take a slow API endpoint and make it fast with the BowPHP cache — then keep the cached data correct when the underlying records change, and finish by adding a lightweight rate limiter. Everything here works the same whether you're on the file, database, or redis driver.
As an application grows, some responsibilities want to live on their own — their
own deploy cadence, their own scaling, their own team. Billing is a classic
example. In this post we'll extract billing into a separate service and have our
Orders application talk to it using the
bowphp/microservice package over Redis.
We'll use both communication modes the package offers:
send() — when Orders needs an answer back.emit() — when Orders just wants to announce
that something happened.