Complete Lab

.circleci/config.yml

@@ -0,0 +1,45 @@
+version: 2
+jobs:
+  build:  
+    docker:
+      - image: circleci/node:11
+    steps:
+      - checkout
+
+      # Download and cache dependencies
+      - restore_cache:
+          keys:
+          - v1-dependencies-{{ checksum "package.json" }}
+          # fallback to using the latest cache if no exact match is found
+          - v1-dependencies-
+
+      - run: yarn install
+
+      - save_cache:
+          paths:
+            - node_modules
+          key: v1-dependencies-{{ checksum "package.json" }}
+
+      # run tests!
+      - run: yarn test
+ deploy:
+    docker:
+      - image: buildpack-deps:trusty
+    steps:
+      - checkout
+      - run:
+          name: Deploy Main to Heroku
+          command: |
+            git push https://heroku:$HEROKU_API_KEY@git.heroku.com/$HEROKU_APP_NAME.git main
+
+workflows:
+  version: 2
+  build-deploy:
+    jobs:
+      - build
+      - deploy:
+          requires:
+            - build
+          filters:
+            branches:
+              only: main

README.md

@@ -19,7 +19,7 @@ Here are the Detailed instructions for executing this lab using:
 - [Heroku](LAB_INSTRUCTIONS_Heroku.md)
 - [Digital Ocean](LAB_INSTRUCTIONS_DigitalOcean.md)  
 
-You are expected to compile your findings into a lab report following this [template](labreports/LAB_TEMPLATE.md).
+You are expected to compile your findings into a lab report following this [template](labreports/LAB_Template.md).
 
 You are welcome to complete this lab using any Cloud Provider (AWS, Google Cloud, Azure, etc.).  If you choose this path - then I encourage you to consider the extra credit opportunity below.
 

labreports/LAB_LAHardman.md

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+# Lab Report: UX/UI
+___
+**Course:** CIS 411, Spring 2021  
+**Instructor(s):** [Trevor Bunch](https://github.com/trevordbunch)  
+**Name:** Luke Hardman
+**GitHub Handle:** LAHardman 
+**Repository:** [Forked Repository](https://github.com/LAHardman/cis411_lab4_CD/tree/heroku)
+**Collaborators:** 
+___
+
+# Required Content
+
+- [X] Generate a markdown file in the labreports directory named LAB_[GITHUB HANDLE].md. Write your lab report there.
+- [X] Create the directory ```./circleci``` and the file ```.circleci/config.yml``` in your project and push that change to your GitHub repository.
+- [X] Create the file ```Dockerfile``` in the root of your project and include the contents of the file as described in the instructions. Push that change to your GitHub repository.
+- [X] Write the URL of your app hosted on Heroku or other Cloud Provider here:  
+> Example: [http://lahardman.herokuapp.com/graphql](http://lahardman.herokuapp.com/graphql)
+- [X] Embed _using markdown_ a screenshot of your successful deployed application to Heroku.  
+> Example: ![Successful Build](../assets/deploy.JPG)
+- [X] Embed _using markdown_ a screenshot of your successful build and deployment to Heroku of your project (with the circleci interface).  
+> ![Successful Build](../assets/successful_heroku.JPG)
+- [X] Answer the **4** questions below.
+- [X] Submit a Pull Request to cis411_lab4_CD and provide the URL of that Pull Request in Canvas as your URL submission.
+
+## Questions
+1. Why would a containerized version of an application be beneficial if you can run the application locally already?
+> Containerization provides portability, consistency, scalability, and security, ensuring the application runs consistently across different environments regardless of the underlying operating system.
+
+2. If we have the ability to publish directory to a cloud service provider like Heroku, why involve a CI solution like CircleCI? What benefit does it provide?
+> CircleCI automates the build, test, and deployment process, ensuring your application is always up-to-date and running smoothly. It also helps identify potential issues in the code before deployment, minimizing the risk of downtime or unexpected behavior.
+
+3. Why would you use a container technology over a virtual machine(VM)?
+> Containers are more resource-efficient, portable, and scalable than VMs. They share the host's operating system kernel, making them lighter and faster to deploy. This allows you to run multiple containers on a single machine, saving resources and simplifying application deployment and management.
+
+4. What are some alternatives to Docker for containerized deployments?
+> Alternatives to Docker include Kubernetes, LXC/LXD, Podman, Singularity, and Containerd. Each platform has unique features and benefits, so consider your specific requirements when selecting a containerization solution.