Scenic VS Capistrano

To model our Deliverable class, we will need a view. We will use the popular scenic gem, which provides some useful generators for creating views with their respective migrations, and utilities to handle views versioning.

+1 for scenic - https://github.com/scenic-views/scenic

If the data doesn't need to be close to real-time, and if your DB can handle a bit of load, I'd use a "batch" approach. To do this, I'd create a materialized view in your relational DB that you'd then refresh periodically. The easiest way to do this is with the `scenic` gem. Once you've done this, you can simply create a new model and set the `table_name` to the name of the materialized view, and then treat it as a regular model.

I use the scenic gem to manage views which uses raw sql files: https://github.com/scenic-views/scenic

add scenic

TIL about fx gem for storing triggers in schema.rb. That makes me so happy because scenic gem for creating database views is one of my favorites. Postgres is very powerful and it's great to see tools for exposing that through Rails.

If you don't want to go down the NFS share route then Capistrano is a useful tool if you're willing to write a little bit of ruby. It comes with some built in goodies like rollbacks. It's an oldie (pre-dockerize everything), but still useful.

https://github.com/capistrano/capistrano

You can start by deploying from your machine to simultaneously get it deploying across all your servers, then I'd consider having a CI/CD pipeline take over and run Capistrano for you.

- Integrate automation deployment: [capistrano](https://github.com/capistrano/capistrano)

Integrate automation deployment: capistrano

The deployment process generally includes making the new version available, directing traffic from the old to the new version, and stopping the old versions. Capistrano has been doing this since 2006. However, what makes Kubernetes deployments better is the minimum number of pods required, and its rollout strategy minimizes or eliminates downtime. For example, a rolling update strategy can ensure new pods gradually replace old pods with configs like maxSurge and maxUnavailable. Because this is done in a declarative way, as a user or operator, you only need to ask Kubernetes to apply a given deployment and Kubernetes does the rest. Next up is the Kubernetes config map.

[1] https://github.com/capistrano/capistrano

Capistrano

What I had considered was writing a deployment script where upon successful build in a separate folder, it'd swap out the deployed folder, similar to how Capistrano works. It has a "current" folder and it'll build in a temporary folder and then replace the symlink to a newer build.

capistrano with plugins for deployment

deployer is a deployment tool written in PHP. It comes with "Zero Downtime Deployments" out of the box and can be extended by writing simple PHP code. (capistrano would be the equivalent in the Ruby world).

Capistrano, if you like Ruby.