How to Build Your Own Google Cloud IoT Core
Replace Google Cloud IoT Core with a custom build. IoT platform product architecture on Google Cloud
Build Difficulty: 4/5
A few focused days to build a solid replacement
Estimated Timeline
Based on 29 features at Few Days difficulty, expect about 3-5 days with AI-assisted development.
Recommended Tech Stack
Full-stack React framework with API routes and server components
PostgreSQL database, auth, and real-time subscriptions
Utility-first styling for rapid UI development
Key Features to Replicate
Top features across 8 categories. See all 29 features
Integration(7 features)
Apache Beam MQTT driver for bidirectional integration with Dataflow
Integration with Google BigQuery for analytics and data warehousing
Integration with Google Cloud SQL for data storage
Integration with Google Cloud Storage for data persistence
Apache Dataflow integration for MQTT connectivity and data processing
+2 more in this category
Device Management(5 features)
Delivery, storage, and rollback of configuration updates to connected devices
Automated provisioning of devices to the platform
Central repository for managing device information and identity
Management of firmware and software updates across device fleet
Delivery and rollback of firmware, software, and application updates to connected devices with update storage and management
Security(4 features)
Revocation of compromised or expired device credentials
Auditing and tracking of device access attempts and activity
Support for X.509 certificate authentication, JWT token-based authentication, OAuth 2.0, username/password authentication, and LDAP integration
Secure storage and management of device credentials
Connectivity(3 features)
Constrained Application Protocol endpoint for low-overhead communication with embedded devices and sensors
Alternative data ingestion endpoint for devices using HTTPS protocol with higher overhead but wider support
Provides MQTT connectivity for IoT devices with support for message protocols
Analytics(2 features)
Analytics interfaces and capabilities for analyzing device data
Visualization capabilities for telemetry and device data
Data Processing(2 features)
Processing pipelines for handling device data with low-code interfaces
Definition and execution of data-driven rules with low-code interface for rule definition
Data Storage(2 features)
Database for monitoring current and past state of devices
Storage of telemetry data from connected devices
Advanced Features(1 features)
Digital twin capabilities for virtual representation of physical devices
Cost Calculator
Pricing data not available for Google Cloud IoT Core. Check their website for current pricing.