chruby VS bref

I think Capistrano is a good example. Their homepage snippet shows you what a DSL is.

I think it's something like https://capistranorb.com/

That should give you lots of stuff to research but I'll leave you with a final point: Every project is going to be different. Use the right tool for the right job; for a small application you definitely don't need Kubernetes, you might be fine without any pipeline at all. For example, Ruby on Rails projects can use a tool called capistrano to script deploys and you can run that from your local machine any time you need to deploy when your project is still small. As the project grows, you can start thinking about creating a pipeline that simply leverages capistrano from say GH actions or something. The point is, don't go crazy with pipelines - do the minimum amount to make the process smooth and focus the rest of your time and energy on the application itself as that's what the users will actually see and use. Users don't care if you use kubernetes or not.

I personally consider Jenkins a Task Runner that has a massive collection of CI plugins. Anyone can do deployments/delivery from a task runner, but any deployments I had to do in Jenkins ended up needing custom code written to do the actual work. This isn't unique to Jenkins; before the days of kubernetes, we had tools like capistrano or Config Management tools like Chef and Puppet that were capable of doing code deployments.

Two deployment techs I use for non-containerized apps work in roughly the same way. Capistrano And Deployer.

I have a Ruby background where I used to have Capistrano https://capistranorb.com/ for this reason. I was setting up the IP Address, path, SSH credentials, github repository and by executing a command I was able to deploy to a remote server.

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.

Has worked well for us on various projects for the past 18 months - prior to that we were using Capistrano.

# Load DSL and set up stages require "capistrano/setup" # Include default deployment tasks require "capistrano/deploy" require 'capistrano/rails' require 'capistrano/bundler' require 'capistrano/rbenv' require 'capistrano/puma' install_plugin Capistrano::Puma::Daemon install_plugin Capistrano::Puma # Load the SCM plugin appropriate to your project: # # require "capistrano/scm/hg" # install_plugin Capistrano::SCM::Hg # or # require "capistrano/scm/svn" # install_plugin Capistrano::SCM::Svn # or require "capistrano/scm/git" install_plugin Capistrano::SCM::Git # Include tasks from other gems included in your Gemfile # # For documentation on these, see for example: # # https://github.com/capistrano/rvm # https://github.com/capistrano/rbenv # https://github.com/capistrano/chruby # https://github.com/capistrano/bundler # https://github.com/capistrano/rails # https://github.com/capistrano/passenger # # Load custom tasks from `lib/capistrano/tasks` if you have any defined Dir.glob("lib/capistrano/tasks/*.rake").each { |r| import r } My installed gems gem "capistrano", require: false gem "capistrano-rails", require: false gem 'capistrano3-puma', require: false gem 'capistrano-rbenv'

I have just released the first working version of a symfony starter project using bref.sh.

As you can see on the website (https://bref.sh/) there's 13 billion monthly AWS Lambda invocations using Bref (PHP).

I have a PHP application (running on Amazon Linux via Bref on Lambda) which has been signing Apple passbooks no problem. I've trying to do various upgrades which includes moving to AWS Linux 2023 which uses OpenSSL 3.

Your best bet is to post an issue on https://github.com/brefphp/bref

multi threading php isnt a burden. laravel with a supervisor + redis + queues works out-of-the-box. you can even run it on lambda (vapor or bref.sh) with almost no hassle.

To generate resource on AWS, you can use aws-sdk into a lambda. While Node or Python is more widely used, you can use PHP bref.sh and the PHP AWS SDK to achieve the same outcome. You'll want to use serverless framework (https://www.serverless.com) .

If you’re deploying in AWS and depending on your app I’d highly recommend using https://bref.sh/. When we changed it made our deploy pipeline so much simpler and our AWS bill much cheaper. Plus infrastructure as code is so useful (we don’t have dedicated dev ops in a team of about 20). Things like adding GD, upgrading PHP, or even adding a redis server become 1 (or a few) lines of change which you can PR and test on staging just like other code changes.

For Lambda, look into https://bref.sh/. For us, running on Lambda was always way cheaper than everything else. However, if you have massive scale that calculation may not hold up.

There's a lot to unpack here from your question. First off, PHP on Lambda WITHOUT docker is possible. Check out https://bref.sh. It works by providing PHP on Lambda like any other runtime. It also provides a Web Hosting experience for PHP on Lambda for those that want to run PHP-FPM.

Failing that, looks like Bref will be the option in place of Vapor.