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The cloud technology used in Rebage
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Google Cloud Platform, offered by Google, is a suite of cloud computing services that runs on the same infrastructure that Google uses internally for its end-user products, such as Google Search, Gmail, Google Drive, and YouTube.
The cloud technology that used in this project:
- Google Cloud Platform (suite of cloud computing services)
- Cloud SQL (for app database - dev environment)
- App Engine (for deploying the app)
- Cloud Storage (for storing the assets)
- Vertex AI (for machine learning)
- Cloud Monitoring (for get info on all services)
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The folder called
"endpoint"
contains the code for the backend of the web-app. This backend code is used to handle the requests and send the response to the client. The backend code is written in Express.js. Now, the backend code is not used in this project because not suitable. -
The folder called
"endpoint"
is project in theinternal implementation stage
, the service and the account used is a personal account. The changes made are an application testing that is expected to be perfect when the application enters the final stage. -
The folder called
"final-endpoint"
contains the code for the backend of the mobile-app. This backend code is used to handle the requests and send the response to the client. The backend code is written in Node.js with Express.js framework. Currently, the backend code is used in this project because of the suitable. -
The folder called
"final-endpoint"
is project in theactual implementation stage
, the service and the account used is a educational account purpose from Bangkit 2022. The changes made are an application testing that is expected to be perfect when the application enters the final stage.
There are three uses of technology in Google Cloud. Among them are Cloud SQL, App Engine, and Vertex AI. These three services are used as application service needs on the cloud side to process all requests and data services.
This sql service has been deployed
on devevelopment environment.
Service details:
Database Type : PostgreSQL
Version : 14
vCPUs : 1
Memory : 1.7 GB
Storage : 10 GB
Docs: cloud-sql-postgres-docs
This app service has been deployed
.
Service details:
runtime: nodejs
env: flex
manual_scaling:
instances: 1
resources:
cpu: 2
memory_gb: 4
disk_size_gb: 10
Docs: app-engine-docs
This storage service has been deployed
.
Location Type : Region
Location : asia-southeast1
Storage Class : Standard
Docs: cloud-storage-docs
This service model has been deployed
.
Detail info:
Model name : ssd_mobnet_50k
Region : asia-southeast1
Version : 1
Endpoint name : rebage-ml-endpoint
Docs: ai-platform-docs
This monitoring service has been deployed
.
Detail info:
Cloud SQL : Deadlocks Count, CPU Usage [MEAN]
App Engine : Response Count, Logs, CPU Utilization [MEAN]
Cloud Storage : Request Count, Total Bytes [MEAN]
Vertex AI : Prediction Count [MEAN], Latencies [50th Precentile]
Docs: cloud-monitoring-docs
This application still under development
changes are expected to be perfect
when the application enters the final stage.