chruby VS Ansible

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'

Ansible is an open-source IT automation tool that simplifies application deployment, cloud provisioning, and configuration management across diverse environments. It uses a declarative language to describe the desired state of the system, and then takes the necessary actions to achieve that state. Ansible has become incredibly popular due to its simplicity, agentless architecture, and extensive community support. Document: ansible.com, ansible basics

Ansible v2.16

Ansible is a tool used to help manage software automation processes, configuration management across machines, deployment as well as remote execution of commands and scripts. In sports, Ansible operates as the coach of your team by providing strategies (playbooks), and actions, and ensuring the smooth execution of tasks across your infrastructure, just like a coach guides and directs players (Servers)during a game.

They support for-if from python, too: https://jinja.palletsprojects.com/en/3.1.x/templates/#loop-f... but I haven't tried the "recursive" keyword to know if ansible supports that. I say "ansible supports that" because they don't just drop jinja2 into ansible and call it a draw, they have a bunch of custom execution integrations: https://github.com/ansible/ansible/blob/v2.16.3/lib/ansible/...

To manage a VM, you can use something as simple as just manual actions over SSH, or can use tools like Ansible, Hashicorp's Packer and Terraform or other automations. For an app where there is minimal load and security/reliability concern, VMs are still a great option that provide a lot of value for the buck

In this article's context, it is simply a tool that provides a declarative way to automate your machine/OS to configure the development machine as you want (install package, modify the configuration, etc). Examples of these tools are Ansible, Puppet, etc.

Now we're getting more tangential, but for years, Ansible releases were named for Van Halen songs (see old Changelog here: https://github.com/ansible/ansible/blob/v1.8.4/CHANGELOG.md)

In the lab to follow, we'll quickly provision a 3-node kubeadm cluster (1 master, 2 workers) on the cloud provider of your choice using an automation stack comprised of OpenTofu and Ansible, then deploy Rook Ceph using the official Helm charts and confirm that we are now able to successfully create CSI volume snapshots from PVCs by reusing the MinIO example from our last article.