Update Ruby on Rails learning path: refine content, add accomplishments sections, and improve clarity

Author: madeline-underwood

content/learning-paths/servers-and-cloud-computing/ruby-on-rails/_index.md

@@ -1,17 +1,13 @@
 ---
 title: Deploy Ruby on Rails on Google Cloud C4A (Arm-based Axion VMs)
 
-draft: true
-cascade:
-    draft: true
-
 minutes_to_complete: 40
 
 who_is_this_for: This is an introductory topic intended for software developers deploying and optimizing Ruby on Rails workloads on Linux Arm64 environments, specifically using Google Cloud C4A virtual machines powered by Axion processors.
 
 learning_objectives:
   - Provision an Arm-based SUSE SLES virtual machine on Google Cloud (C4A with Axion processors)
-  - Install Ruby/Rails on a SUSE Arm64 (C4A) instance
+  - Install Ruby on Rails on a SUSE Arm64 (C4A) instance
   - Validate Ruby on Rails functionality using PostgreSQL as the database  
   - Benchmark Rails performance using the built-in Ruby Benchmark library on Arm64 (Aarch64) architecture
 

content/learning-paths/servers-and-cloud-computing/ruby-on-rails/background.md

@@ -20,4 +20,8 @@ Ruby on Rails (Rails) is an open-source, server-side web application framework w
 
 It allows developers to build database-backed web applications quickly using convention over configuration, MVC (Model-View-Controller) architecture, and built-in tools for routing, database migrations, and view rendering.  
 
-Rails is widely used for web applications, APIs, and full-stack development projects. Learn more from the [Ruby on Rails official website](https://rubyonrails.org/) and its [guides and documentation](https://guides.rubyonrails.org/).
+Rails is widely used for web applications, APIs, and full-stack development projects. Learn more from the [Ruby on Rails official website](https://rubyonrails.org/) and the [Ruby on Rails Guides](https://guides.rubyonrails.org/).
+
+## What you've accomplished and what's next
+
+You’ve now learned about Google Axion C4A Arm instances and the fundamentals of Ruby on Rails. Understanding these technologies sets the stage for deploying and optimizing Rails workloads on Arm-based cloud infrastructure.

content/learning-paths/servers-and-cloud-computing/ruby-on-rails/baseline.md

@@ -308,3 +308,7 @@ You will see a Rails welcome page in your browser if everything is set up correc
 ![Rails-info page alt-text#center](images/rails-web.png "Figure 6: Ruby/Rails Welcome Page")
 
 With port 3000 reachable and the welcome page loading, your Rails stack on SUSE Arm64 (C4A Axion) is verified end-to-end and you can proceed to benchmarking.
+
+## What you've accomplished
+
+You’ve successfully set up a Ruby on Rails application with PostgreSQL on a Google Cloud C4A Arm-based virtual machine running SUSE Linux. You installed and configured PostgreSQL, created a dedicated database user, and connected your Rails app to the database. You verified connectivity, generated a scaffold for CRUD operations, and ensured your application is accessible over the network. With your Rails stack running on Arm, you’re ready to move on to benchmarking and performance validation.

content/learning-paths/servers-and-cloud-computing/ruby-on-rails/benchmarking.md

@@ -112,3 +112,7 @@ Database I/O remains the main optimization target: Techniques such as query cach
 Compute-bound tasks scale well: Axion’s Arm cores and Ruby’s YJIT show excellent CPU utilization for non-I/O workloads.
 
 Ruby on Rails runs efficiently on Google Cloud’s Axion-based C4A Arm64 instances. 
+
+## What you've accomplished
+
+You’ve benchmarked your Ruby on Rails application on a Google Cloud C4A Arm-based VM using Ruby’s built-in Benchmark library. You measured database insert and query speeds, as well as CPU computation performance, and interpreted the results to identify optimization opportunities. With these insights, you’re equipped to further tune your Rails workloads for Arm and confidently deploy performance-sensitive applications on Arm-based cloud infrastructure.

content/learning-paths/servers-and-cloud-computing/ruby-on-rails/installation.md

@@ -94,4 +94,6 @@ You should see output similar to:
 Rails 8.0.3
 ```
 
-You have now installed Ruby and Rails on your Google Cloud C4A Arm-based VM. You can now proceed with the baseline testing.
+## What you've accomplished
+
+You’ve completed the installation of Ruby and Rails on your Google Cloud C4A Arm-based SUSE Linux VM. Your environment is now ready for Arm-native Rails development, with all dependencies, version management, and performance enhancements in place. You’re prepared to start building, testing, and optimizing Ruby on Rails applications on Arm infrastructure.

content/learning-paths/servers-and-cloud-computing/ruby-on-rails/instance.md

@@ -29,3 +29,7 @@ To create a virtual machine based on the C4A instance type:
 - Under **OS and Storage**, select **Change**, then choose an Arm64-based OS image. For this Learning Path, use **SUSE Linux Enterprise Server**. Pick the preferred version for your Operating System. Ensure you select the **Arm image** variant. Click **Select**.
 - Under **Networking**, enable **Allow HTTP traffic**.
 - Click **Create** to launch the instance.
+
+## What you've accomplished 
+
+Congratulations! You’ve successfully created a Google Axion C4A Arm virtual machine on GCP. Your Arm-based cloud environment is ready for Ruby on Rails development.