In this series, we have looked at the "musts" (databases) and "shoulds" (asynchronous jobs, websockets) of a web application. Now we turn to one of the "coulds" (that is nonetheless recommended for scaling businesses): caching. In particular, we mean caching HTML fragments and other snippets of data, as referred to in Rails Guides. We are not concerned with HTTP or SQL query caching. In this part, we'll see how to speed up our Rails app using LiteCache.
So far in this series, we have been exploring the capabilities of SQLite for classic HTTP request/response type usage. In this post, we will push the boundary further by also using SQLite as a Pub/Sub adapter for ActionCable, i.e., WebSockets. This is no small feat: WebSocket adapters need to handle thousands of concurrent connections performantly.
When working with money in an application, ensuring everything is accounted for is important. In this post, we will explore some common methods and best practices of handling money in your Ruby app, and see how you can use money-rails to write maintainable money-handling code. Let's get started!
In parts one and two of this series, we only dealt with the pure CRUD aspects of using SQLite as a production database. In this post, we will explore the world of queue mechanisms, using SQLite as the pub/sub adapter for ActiveJob. Let's make use of LiteJob to handle incoming webhooks in our Rails application.