Institutional-Grade Infrastructure
VedKUBER is built using distributed real-time infrastructure designed for scalable market monitoring and execution telemetry.
The platform architecture includes distributed backend services, WebSocket streaming infrastructure, in-memory caching, managed data storage, telemetry pipelines, execution monitoring, supervised service processes, AI runtime systems, and runtime observability.
Designed for real-time market analysis, execution telemetry, runtime resilience, operational monitoring, and scalable processing.
Platform Components
Distributed Backend Services
Independently deployable services with independent scaling, fault isolation, and service-level resilience. Independent services with supervised processes.
WebSocket Streaming Infrastructure
Real-time bidirectional communication for market data feeds, signal distribution, execution updates, and telemetry streaming.
In-Memory Cache Layer
In-memory data store for session state, real-time market cache, signal queues, and high-frequency telemetry collection.
Primary Data Store
Relational database for user accounts, trade history, signal archives, audit logs, and long-term analytics storage.
Telemetry Pipelines
Distributed tracing, metric collection, and observability infrastructure for execution monitoring and system health tracking.
Service Supervision
Every service runs under a supervisor with automatic restart on failure, health checks, log rotation and rollback-capable deploys.
AI Runtime Systems
Dedicated compute infrastructure for AI model inference, market analysis, signal generation, and probability evaluation.