Creating a Rich Text Editor with Quill, Stimulus and Tailwind CSS

Adding rich text editors to a project has a long history of friction and frustration in development. Whenever I’m asked to add a text editor, I naturally do whatever I can do to avoid them completely. That, or make sure I do extra meditation in preparation for weeks of pain.

Hello, old friend

It’s nice to see you again. One of the toughest part of writing for me is taking the time to actually write. An unfortunate side effect of running a company (for me anyway) is the sheer amount focus it demands in order to maintain the level of successful and serve my clients the best way I can.

Getting Started with Ruby on Rails and Kubernetes

Why should we deploy our Rails applications to Kubernetes? Traditionally we’ve deployed our applications to the cloud using services like Heroku or on virtual private servers on Amazon EC2, Rackspace, or Digital Ocean using a custom set of Ansible scripts to automate the process. This has worked well an still continues to work well, however we run into issues with scaling our servers to meet users demands and upgrading hardware and software isn’t always easy without downtime.

Deploying Ruby on Rails Apps on Kubernetes

In Part 1 in this series, we’ve setup our accounts, installed the required tools we need to deploy our Rails application to a Kubernetes cluster. We’ve even started working on our Rake file that we’re using to document our steps and interface with our cluster. In this post, we’ll expand our Rake file to deploy our application to the cluster. In this walkthrough, we’ll accomplish the following:

Scaling Ruby on Rails Apps with Kubernetes

In the second part of this series, we have a working Rails application up and running in our cluster with a load balancer to boot. In this post, we’re going to explore how to scale and manage our Rails application running in our cluster.

Quick Wins to Improve Rails Performance

We’ve all most likely received that dreaded message about our Rails application being “too slow” or even worse “the page won’t load”. In a lot of cases, these issues are difficult to track down because likely it works fine on your development machine or the production server is working perfectly now. So we’re faced with the challenge of tracking down seemingly random bottlenecks that happened in the middle of the night.