APEXANALYTICS
Apex Systems Labs engaged Windson as Full Stack AI Engineers to deliver a ai data telemetry platform — built on React 19, Python, LLMs.
Operations teams were overwhelmed by millions of telemetry metrics streaming from distributed cloud nodes. Traditional alert rules were either too noisy or missed silent failures. Raw data took engineers hours to parse, causing critical delays in incident resolution.
We designed an AI-native telemetry dashboard using React 19's Server Components and streaming hooks. We developed a Python backend streaming pipelines through WebSockets. The system runs an orchestration agent that automatically analyses abnormal telemetry spikes using specialized, fine-tuned LLMs, producing readable incident summaries in real-time.
Hours of log-diving became ninety seconds of reading — incidents now explain themselves.
SYSTEM DELIVERABLES
Every deliverable represents a fully optimized node within the client's new operational architecture, built for speed and security.
React 19 Telemetry Dashboard
Real-time streaming charts using WebSockets and React 19 server-actions, offering zero-latency view filters.
AI-Agent Root Cause Pipeline
Orchestration pipeline using LLMs to automatically isolate infrastructure anomalies and generate repair steps.
High-Performance Data Ingest
A Python/FastAPI data ingestion system handling thousands of sensor pulses per second into a PostgreSQL store.
