https://github.com/codebloodedmama/markedsplaceappk8
markedsplace app with Nodejs, Express, Postman, TypeScript, Nodemon, Containerisation, Docker, Rancher/DockerDesktop, , GraphQL, Apollo Server,RabbitMQ queues, brokers,microservices, , Kubernetes Basics part 2, app+db pod,
https://github.com/codebloodedmama/markedsplaceappk8
Last synced: 7 days ago
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markedsplace app with Nodejs, Express, Postman, TypeScript, Nodemon, Containerisation, Docker, Rancher/DockerDesktop, , GraphQL, Apollo Server,RabbitMQ queues, brokers,microservices, , Kubernetes Basics part 2, app+db pod,
- Host: GitHub
- URL: https://github.com/codebloodedmama/markedsplaceappk8
- Owner: CodeBloodedMama
- Created: 2025-08-01T12:36:07.000Z (11 months ago)
- Default Branch: main
- Last Pushed: 2025-08-01T12:51:49.000Z (11 months ago)
- Last Synced: 2025-11-09T03:11:02.242Z (8 months ago)
- Language: JavaScript
- Size: 11.2 MB
- Stars: 1
- Watchers: 0
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Marketplace App - Exam project
## Idea
Marketplace service
## Description
A marketplace application were users can set items for sale and buy items from other users. The app will demonstrate at least 75% of the techniques we've learned throughout this course.
## Techniques
### Notation
- (+) - All techniques applied
- (/) - Partly applied
- (-) - Not applied
### Checklist
- (+) Lecture 01 - Nodejs, Express, Postman, TypeScript, Nodemon
- (/) Lecture 02 - MongoDB, Mongoose, Microservice, (/) CRUD, Schemas
- (+) Lecture 03 - Containerisation, Docker, Rancher/DockerDesktop
- (/) Lecture 04 - Docker, (-) multi-stage/arch, (-) CI/CD gitlab pipeline,
- (/) Lecture 05 - Composing, (-) debugging, Networking
- (+) Lecture 06 - GraphQL, Apollo Server
- (/) Lecture 07 - GraphQL, (-) SQL, (-) Prisma, (-) TypeGraphQL, GQL CRUD, (-) Dataloader
- (-) Lecture 08 - gRPC
- (/) Lecture 09 - concurrency conflicts
- (+) Lecture 10 - RabbitMQ queues, brokers
- (/) Lecture 11 - RabbitMQ patterns
- (+) Lecture 12 - Monolith to Microservices
- (/) Lecture 13 - Microservices in .NET - Resilience
- (/) Lecture 14 - Microservices in .NET - Telemetry
- (-) Lecture 15 - API Gateways
- (+) Lecture 16 - Kubernetes Concepts, Local Cluster, OpenLens, kubectl
- (-) Lecture 17 - Saga Pattern
- (/) Lecture 18 - Kubernetes Basics, pods, services, ingress, (/) labels, (/) namespaces, yamls
- (+/) Lecture 19+20 - Kubernetes Basics part 2, app+db pod, (-) storage, (-) statefulSet
- (/) Lecture 21 - real cluster, kubeconfig, (-) cluster apps, migration, (-) gitops&argo, (-) gitlab CI/CD
- (/) Lecture 22 - OAuth 2.0, passport, google cloud console, (/) OpenID Connect
- (-) Lecture 23 - Kubernetes Security and more
### Percentage
Total courses: 23
Applied/partly applied: 19
Percentage: 18/23 = 83%
## Run app locally
We run the app in `watch` mode which allows us to change the code on the fly, so that the containers automatically update and refresh browser:
$ docker compose watch
## Deploying to cluster
First off, the database connection strings has to be altered in every service that connects to the database (main app and apollo app). Go to the connection strings of these services and comment/uncomment the right connection string. The database connection string might look something like below line, where `10.42.8.150` is the IP of the pod:
mongodb://10.42.8.150:27017/marketapp
You may need to expose the cluster yaml file (below command applies to Linux):
$ export KUBECONFIG=~/.kube/kubeconfig.yaml
When running docker compose the images are built locally. These aren't visible to the remote cluster. To make them visible we push them to an online repository on Docker Hub. To do this we first need to tag the image - see below example for the main marketplace image. We tag it with a Docker account name (au618687):
$ docker tag marketplace-app-marketplace-app au618687/marketplace-app-marketplace-app:latest
Do this to every image you want to push. You can now push the images from Docker Desktop.
Navigate to the `kubernetes` folder in the terminal. Navigate to the subfolder corresponding to the image you want to deploy to cluster and run below command. The cluster looks for the image on Docker Hub and deploys:
$ kubectl apply -f .