faker VS Capistrano

While we’re at it, let's add a couple of other gems we’ll need for our test environment: factory_bot_rails is a fixtures replacement and generates test model instances. faker is handy for generating fake strings of data to be used in tests. Add those gems to the development and test group of your Gemfile:

Next up, we'll combine a few of the techniques we've reviewed to implement snappy typeahead searching. Before we do that, though, let's generate more sample data. I will use the popular faker gem to do that:

Faker was originally written in Perl and is also available as a library for Ruby, Java, and Python.

Faker

rspec-rails factory_bot_rails faker

Ah, so the data is just a giant .yml file of potential options, that I compiled, and then faker grabs a random one based on that data. There's no "database" or anything akin to that.

It's with the Faker library. I was able to reproduce it by spinning up a new rails up, specifying the faker gem , yours, and running the command gives the same error.

To begin using faker, you need to install the gem, which is simply done by running "gem install faker". After you do that, you should add "gem "faker"" to your gem file to ensure correct usage, otherwise you may get an error. Once thats done you can head over to the seeding file and add require "faker" the page. In the seeding file is where you would start to "fake" your data and we use the faker library to pick out random dummy data. In the seeding, your gonna start implementing the data which should look like this,

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.