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Field-Proven
Systems Architecture & Cloud Platforms
Provilla
Real-Time Systems Architecture & High-Concurrency Data Sync
< 50ms
WebSocket state propagation
99.9%
Service uptime
100%
Automated deployment pipeline coverage
Technical Scope
Provilla required an overhaul of data distribution layers to support instant multi-client synchronization.
Architecture Highlights
- Event-Driven Communication: Replaced high-overhead HTTP polling loops with lightweight WebSocket connections, reducing connection overhead and delivering sub-50ms client updates.
- Hybrid Data Modeling: Optimized document-oriented storage access patterns to support relational query demands without introducing database deadlocks.
- Automated DevSecOps Pipeline: Automated continuous deployment workflows, environment parity checks, and automated cloud backup strategies.
System Pipeline Flow Automated Pipeline
STAGE 01
Handheld Video Ingest
5–10s continuous mobile capture sweep
STAGE 02
Frame Extraction & Keyframe Filtering
Photometric sharpness & motion blur screening
STAGE 03
Feature Matching & 3D Point Cloud
Dense multi-view photogrammetric reconstruction
STAGE 04
Deep Learning Semantic Segmentation
Component boundary & defect zone isolation
STAGE 05
Volumetric & Tolerance Calculation
CAD delta metrology to 0.01mm / micron scale
STAGE 06
Automated Reporting & HITL Review
QA dossiers, STL export & validation queue
SQS-Buffered Distributed Ingestion & Dynamic Compute
Decoupled asynchronous worker queue with in-house auto-scaler
AWS Cloud Architecture
// 01 INGESTION TIER
Handheld Mobile Capture
iOS / Android / iPadOS (LiDAR)
5-10s video sweep & chunked multipart ingress
REST / JWT
Stateless REST API Tier
JAX-RS / Spring / MySQL RDS
Upload token validation & immediate job ticket issuance
Enqueues Payload Ticket
// 02 QUEUE BUFFER & AUTO-SCALING
Amazon SQS Message Queue
Decoupled Buffer + Dead-Letter Isolation
Buffers bursty daytime traffic; zero dropped scans
In-House Auto-Scaler
Queue Depth & Velocity Monitor
42% cost reduction vs AWS CPU lag; instant scale-down
Dispatches To Dynamic Pool
// 03 STORAGE & COMPUTE EXECUTION
S3 Multi-Tier Storage
Standard → Infrequent Access → Glacier
Cross-region replication; coordinate metadata kept live
Dynamic GPU Compute Pool
PyTorch / Open3D / CUDA Containers
Dense point cloud generation & sub-millimeter inference