Google Enterprise App (GEA) and Cloud Foundation
Comprehensive enterprise ecosystem across Google Cloud Platform (GCP), Google Workspace, AppSheet no-code, and Gemini & Gemma Generative AI integration.
Google Enterprise App (GEA) delivers a modern, cloud-native application and collaboration ecosystem for forward-thinking enterprises. Revolic Tech provides end-to-end GEA services: securing Google Workspace productivity foundations, embedding Google Gemini Enterprise and open-weight Gemma models for secure generative intelligence, architecting scalable microservices on Google Cloud Platform (GCP), streamlining paperless operations with Google AppSheet, and engineering automated real-time data ingestion and analytics platforms for premier enterprise institutions including Ramathibodi Hospital.
Technical Architecture & Protocol Blueprints
Comprehensive structural diagrams illustrating verified enterprise protocols, message exchange flows, and system integration patterns.
Google Enterprise App (GEA) and Cloud Foundation
Comprehensive GEA architecture overview: Google Workspace Cloud Identity governance, AppSheet rapid development, GCP Cloud Run & BigQuery data pipelines, and Ramathibodi Hospital enterprise device telemetry integration.
Key Modules & Functional Subsystems
Google Workspace & Enterprise Collaboration
Enterprise Gmail, Drive, Meet, centralized Admin Console governance, Cloud Identity, and Gemini Enterprise AI productivity extensions.
Gemini Enterprise & Gemma Open Models
Harness Google Gemini for multimodal reasoning and enterprise search, alongside fine-tuned Google Gemma open-weight models deployed securely on private Cloud Run or GKE clusters for sovereign data privacy.
Real-Time Data Telemetry & Ingestion
Engineered for high-volume enterprise operations like Ramathibodi Hospital: automated multi-source device telemetry ingestion, centralized research data lakes, and secure API data exchange.
Google AppSheet No-Code Automation
Rapidly build mobile and web applications for field inspections, asset tracking, and multi-tier approval workflows without writing code.
GCP Cloud Run & BigQuery Analytics
Serverless container hosting on Cloud Run, secure Cloud SQL databases, petabyte-scale BigQuery data warehousing, and Looker Studio dashboards.
Enterprise Capabilities
- Enterprise Google Workspace architecture, migration, and Zero-Trust Cloud Identity governance
- Enterprise Gemini multimodal AI integration across Google Workspace, Drive, Gmail, and custom business applications
- Private fine-tuning and deployment of Google Gemma open-weight LLMs on Google Cloud Run and GKE for sovereign, confidential enterprise workloads
- High-throughput real-time data ingestion pipelines and unified telemetry dashboards for enterprise operations
- Rapid custom mobile/web application delivery with Google AppSheet integrated with GCP and ERP systems
- Modern serverless microservices and container deployments on Google Cloud Run and GKE
- Petabyte-scale analytics and executive business intelligence dashboards powered by Google BigQuery and Looker Studio
Multimodal Gemini & Sovereign Gemma AI Architecture
Dual-track enterprise AI architecture: managed Gemini API endpoints on Vertex AI for high-throughput multimodal reasoning, paired with self-hosted Gemma 2 open-weight containerized inference on private GKE or Cloud Run, guaranteeing zero proprietary data leaves your security perimeter.
Ramathibodi Hospital Real-Time Data Architecture
Real-time ingestion of heterogeneous operational device data, normalized into a unified enterprise format on Google Cloud for rapid reporting, operational intelligence, and advanced analytics.
Zero-Trust Google Cloud Identity & BeyondCorp
Context-aware access controls ensuring only verified personnel and compliant devices access enterprise apps and sensitive operational data.
Proven Real-World Deployments
Production-grade enterprise solutions, healthcare integrations, and automated pipelines.
Faculty of Medicine Ramathibodi Hospital
Mahidol University
Heterogeneous telemetry and multi-vendor device formats created manual logging overhead and fragmented data access across departments.
Engineered an automated real-time data pipeline and unified telemetry dashboard on Google Cloud Platform, delivering centralized reporting, device interoperability, and fast operational insights.
Frequently Asked Questions
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