Mindcraft API Documentation (Bangkit Product Based Capstone Project - C242-PS406)
https://petot-mindcraft.cloud/docsThe cloud technology used in Mindcraft
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Google Cloud Platform (GCP) is a Google-provided set of cloud computing services. It is a platform that offers computing infrastructure and services for running applications, storing and managing data, and developing software solutions.
- Google Cloud Platform: Comprehensive suite of cloud services by Google.
- Cloud SQL: Database management for our application.
- Cloud Storage: Secure and scalable storage solution for application assets.
- Cloud Run: Seamlessly deploys our machine learning models.
- Memorystore Redis: Provides robust caching and session management.
- Load Balancer: Ensures high availability by distributing traffic across services.
- Pub/Sub: Enables event-driven communication and asynchronous messaging.
A PostgreSQL database deployed for development.
Database Type : PostgreSQL
Location : asia-southeast2
Storage : 10 GBA regional storage solution optimized for performance.
Location Type : Region
Location : asia-southeast2
Storage Class : Standard📖 Learn more about Cloud Storage
Enables rapid deployment of containerized machine learning models.
Location : asia-southeast2
CPU : 12
Memory : 10 GBA caching solution for fast and reliable session data management.
Location : asia-southeast2
Tier : Standard
Memory : 1GB
Redis Version : 7.0📖 Learn more about Memorystore Redis
Handles traffic distribution for optimal performance and reliability.
Location : asia-southeast2
Type : HTTP(S)
Backend Services : 5
Certificate : Managed SSL📖 Learn more about Load Balancer
Enables seamless communication between microservices using asynchronous messaging.
Location : asia-southeast2
Topic Count : 5We leverage Google Cloud Platform (GCP) to deploy our services, ensuring reliability and scalability. Below are the core services we offer:
Primary service powering the core features of the application. Explore more
Secure authentication service for safeguarding user data. Explore more
Detailed documentation to help you navigate and utilize features efficiently. Explore more
Cutting-edge capabilities for question-answer generation and summarization. Explore more
Here’s the cloud architecture utilized for this project:
We calculated the costs for all services using Google Cloud's Pricing Calculator and estimated an expenditure of Rp 4,917,858/month.




