ITB 2023 Creating and managing a QA focused production-replicating environment for complex sites_Dan Card.pdf
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Modern web applications involve complex components and technologies. This session explores an Ortus Team's QA environment creation, featuring multiple APIs, databases, and monitoring tools. The setup uses Linux, Docker, and CommandBox for easy management and branch testing. While not hands-on, the overview aims to demystify these technologies and show their value in creating a productive team tool.
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ITB 2023 Creating and managing a QA focused production-replicating environment for complex sites_Dan Card.pdf
- 1. Session SESSION Case Study: Creating and Managing a QA Feature Testing Environment LED BY Dan Card
- 2. Dan Card SPEAKER AT ITB2023 Dan Card is a Senior Developer at Ortus Solutions who find pictures of people with their chin in their hands somewhat pretentious • Lives just north of Boston • Has been using CF since around 2004 • Has developed a love of testing over the past several years • Sometimes uses frozen Zoom pictures as headshots
- 3. The Goal We needed an actual formal testing environment The triggering event was a module using the Adobe Generate Document PDF API. All the tests were passing locally, everything worked in staging, it had passed QA and then blew up in production. Why? Local was Windows. Staging was Windows. Production was Linux and the issue was in the direction of the slashes in our file names. Easily fixed but you never know the other stupid stuff that’s going to trip you up.
- 4. The Goal • Replicate Production as closely as possible • Be easy to manage or no one would use it • Pull any branch from any repo to test before things got into Dev let alone production • Be entirely self contained • Rather than risk “merge issues” and ensure a clean test, we wanted to completely delete the existing files and re-clone • Able to be blown away and recreated We needed something which…
- 5. The Solution • Linux Box • Not on our local system • Because of the Multi Sites it seemed to be a good use for Docker • I didn’t know Linux ( still mostly don’t ) • Wasn’t budgeted • I had tried to learn Docker several times and it never “stuck” • Not too great at git And The Problems
- 6. The Ecosystem • A React Front end • A Coldbox API (with Fusion Reactor) • MSSQL There are a number of components to the entire system:
- 7. What are we creating: High Level React ColdBox API MSSQL Server
- 8. What are we creating: Detail Front End (JS, React) name: ninja_app CommandBox /ninjaapp 80 API ( Coldbox, Lucee, Fusion-Reactor ) name: api MSSQL name: mssql Playwright ( JS ) name: playwright Monitoring Software ( ColdBox, Lucee ) name: siteModel Containers: Storage: Ports: /api /dataFolder /backupFolder /playwright /siteModel 8081 8082 8083 8084 1434 Apps / Files / Modules: Module: ecoSystemTesting File: docker-compose.yml Docker /build /envFiles
- 9. 3 Phases 1. Create and prep the Linux Boxes 2. Create the folder / containers 3. Getting Files and databases onto the Linux box.
- 10. Steps to Create: Linux Box Phase 1: Create the Linux Box 1. Spin up instance on AWS 2. Connect to Instance 3. System Updates 4. Set the version of Java to use 5. Install Git – if needed 6. Install Node 7. Install Yarn 8. Install Docker / Docker Compose 9. Install CommandBox 10.Install ecosystemTesting Module 11.Permissions for scripts 12.Firewall permissions in the AWS security group
- 11. At The End Of Step 1: The Linux Box CommandBox Apps / Files / Modules: Docker
- 12. 4 Phases 1. Create and prep the Linux Boxes 2. Create the folder / containers 3. Use the ecosystemTesting module to handle the actual cloning of the sites. 4. Demo it To the containers!
- 13. Steps Create The Folders and Containers • Create our folders • Create the docker-compose file which defined our containers • CommandBox • Node / React • MSSQL • Create Dockerfiles and additional scripts for the more elaborate installs for MSSQL and JS • Learn the difference between Start / Build / Stop / Restart / Up
- 14. At The End of Step 2: Our Containers Front End (JS, React) name: ninja_app CommandBox /ninjaapp 80 API ( Coldbox, Lucee, Fusion-Reactor ) name: api MSSQL name: mssql Playwright ( JS ) name: playwright Monitoring Software ( ColdBox, Lucee ) name: siteModel Containers: Storage: Ports: /api /dataFolder /backupFolder /playwright /siteModel 8081 8082 8083 8084 1434 Apps / Files / Modules: Module: ecoSystemTesting File: docker-compose.yml Docker /build
- 15. 4 Phases 1. Create and prep the Linux Boxes 2. Create the folder / containers 3. Use the ecosystemTesting module to handle the actual cloning of the sites. 4. Demo it However, we have no files or content yet!
- 16. How Do We Get The Site Files onto the Server? Create The Folders and Containers Our Testing instance ecosystemTesting module
- 17. Basic Steps Get the content! • Configure each site 1x • Source (github etc) • Username and tokens (remains in the CommandBox config, not in a repo) • URLs / Folders • Environment Docs – i.e. .cfconfig and .env files • At Run Time • What branch? • Evergreen?
- 18. How Do We Get DB / Schema onto the Server? Create The Folders and Containers ecosystemTesting module MSSQL Container Migrations QB Schema Manual Restore Schema Schema and Data
- 19. Configuring The Ecosystem Tool: Project Get the content! • `ecosystemTesting configure` • Project name • Root Folder • Source of repos • Repo login name • Repo Token
- 20. Configuring The Ecosystem Tool: Site Get the content! • Essential Items • Site name • Repo location (github / git lab) • Parent branch • Name of the folder (relative to root of project) • url • Port • Comma delimited list of Files to copy - source:target,source:target • Comma delimited scripts to run (from CommandBox) • Name of the Docker container
- 21. Refreshing the Ecosystem Get the content! • `ecosystemTesting refreshEcoSystem ninja 1 true` • `!docker-compose restart` Restarts everything but the js sites will fail • `!docker-compose up –d` Rebuilds the JS sites and starts them
- 22. THAN K YOU Thank s to our sponsors