Case Study · AI Inference Observability & Telemetry

Ecosystem & Platform

Private Enterprise AI Observability

Services Provided

Systems Architecture & Telemetry

Technology Core

ClickHouse · Redis · FastAPI

Data Sovereignty

100% Zero-Egress Air-Gapped

dashboard.aroonkumar.me · telemetry
Zero EgressExplore
ZERO-EGRESS INFERENCE OBSERVABILITY

Real-time token telemetry & hardware utilization

Production inference tier: 4x H100 GPUs routing real-time customer completions.

PROD CLUSTER 01 · ACTIVEPOST /api/v1/telemetry/ingest
Nexus AI Telemetry Visual
Inference Throughput (In-Memory Buffer)$5,510 / mo saved · +42.8%
Selected Cluster Metric18.2ms · 72.4 TPS
Nexus AI TelemetryAI Inference & Observability
<18ms latency · 100% privacy
100%

Data Sovereignty & Zero Egress

Zero third-party cloud egress; full HIPAA/SOC2 regulatory compliance on-premises.

18ms

Streaming Telemetry Latency

ClickHouse vectorized SIMD aggregation delivering sub-20ms queries over 100M+ logs.

99.98%

Inference Cluster Uptime SLA

Distributed Redis ring buffering preventing telemetry packet loss during peak concurrency.

01 / The Challenge

Eliminating the Blind Spot in Enterprise Neural Inference

Enterprise AI teams deploying self-hosted LLM clusters lack unified, real-time visibility into private model latency spikes, per-department token burn rates, and prompt guardrail deviations — all while prohibited from piping internal prompt vectors to commercial cloud monitoring vendors.

Cloud Egress Exposure

Traditional monitoring SaaS requires shipping internal prompt text and company IP to third-party cloud endpoints, violating strict data sovereignty mandates.

High-Volume Stream Bottlenecks

Standard relational databases buckle when ingesting tens of thousands of real-time GPU token telemetry events every second without high-density ring buffers.

02 / Systems Architecture

Three Strictly Decoupled Production Tiers

TIER 01

Observability Portal

Next.js 15 App Router & React 19 interface visualizing token velocity curves, TTFT distribution histograms, and automated model drift alerts over persistent WebSocket feeds.

FrameworkNext.js 15.1 · React 19
ProtocolWebSocket Real-time Push
Domaindashboard.aroonkumar.me
TIER 02

Ingress & Ring Buffer

FastAPI async gateway and Redis 7 in-memory circular buffers ingesting raw inference telemetry with cryptographic HMAC signatures and zero drop under peak load.

Gateway EngineFastAPI 0.115 (AsyncIO)
Buffer ArchitectureRedis 7 Streams (Circular)
VerificationCryptographic HMAC SHA-256
TIER 03

ClickHouse Columnar Store

Vectorized SIMD columnar engine aggregating billions of historical inference events with sub-20ms query latencies and 92% ZSTD storage compression.

Database EngineClickHouse 24 (MergeTree)
CompressionZSTD Level 7 (92% Saved)
Isolation100% On-Prem Air-Gapped
03 / Verified Technology Stack

Production Engineering Tooling

Columnar Storage

ClickHouse 24

Vectorized SIMD · MergeTree · ZSTD

High-performance analytical database executing sub-20ms aggregation queries over 100M+ real-time inference telemetry logs.

Stream Gateway

FastAPI 0.115

Python 3.11 · Async Uvicorn Workers

Async ingestion gateway receiving signed inference metrics from distributed GPU nodes with zero third-party cloud egress.

Ring Buffer & Pub/Sub

Redis 7 In-Memory

Streams · Circular Memory Buffers

Absorbs bursty inference telemetry spikes up to 50k events/sec and broadcasts real-time updates over low-latency Pub/Sub.

Frontend Architecture

Next.js 15.1

App Router · React 19 · Server Components

Zero-egress telemetry portal delivering real-time token throughput charts, model drift diagnostics, and cluster heatmaps.

TS
Type Safety

TypeScript

Strict Mode · ESLint 9

End-to-end type contracts governing telemetry packet schemas, WebSocket events, and dashboard state management.

Backend Engine

Python 3.11

AsyncIO · NumPy · Pydantic v2

Executes batch aggregation workers, HMAC verification, statistical drift calculations, and anomaly detection algorithms.

Hermetic Deploy

Docker Container

Multi-Stage · Alpine Linux VPC

Packages ClickHouse, FastAPI, and Redis into an air-gapped container fleet deployable inside private enterprise firewalls.

Metrics Scraper

Prometheus

Pull Model · High-Frequency TSDB

Collects system-level hardware metrics including GPU memory consumption, PCIe bus saturation, and node temperatures.

Distributed Tracing

OpenTelemetry

OTel Collector · Context Propagation

Standardized tracing spans tracking inference requests across gateway dispatch, model routing, and token delivery.

Ops Visualization

Grafana

Dashboards · Alerting Rules

Supplementary operational dashboards for DevOps teams monitoring GPU cluster health and infrastructure availability.

Metadata Store

PostgreSQL 15

Cluster Registry · RBAC · Keys

Stores persistent configuration, enterprise team permissions, API key hashes, and cost attribution rate cards.

Host OS

Ubuntu Linux

Dedicated Server · Kernel 6.8

Air-gapped on-premises server with UFW firewall, memory-tuned kernel buffers, and zero foreign cloud dependencies.

04 / Production Blueprint

Verified Production Topology Blueprint

The Nexus AI Telemetry platform deployment topology — distributed GPU nodes, HMAC ingress gateway, circular Redis streams, ClickHouse columnar cluster, and sub-second Next.js WebSocket telemetry broadcast.

Nexus AI Telemetry Suite — Production Dashboard
Click to Zoom & Pan Full Blueprint
05 / Developer Experience

Interactive Code Workbench

127.0.0.1:8123 · 200 OK
import httpx
from datetime import datetime

# Nexus Zero-Egress Ingestion Hook
client = httpx.Client(base_url="http://127.0.0.1:8123")

def log_inference_telemetry(payload: dict):
    """Asynchronously pipe token execution metrics with HMAC signature."""
    packet = {
        "timestamp": datetime.utcnow().isoformat(),
        "cluster_id": "prod-gpu-01",
        "model": "qwen2.5-coder-32b",
        "ttft_ms": 18.2,
        "prompt_tokens": 842,
        "completion_tokens": 319,
        "tps": 72.4,
        "egress_allowed": False,
    }
    return client.post("/api/v1/telemetry/ingest", json=packet)
Daily Ingestion Throughput

14.8M Tokens / Day

Aggregated across 5 distributed inference clusters

Ring Buffer Reliability

0.00% Packet Drop

Redis circular stream handling bursty completion logs

Data Ingress / Egress

Zero Egress Allowed

Cryptographically air-gapped on-premise boundary

06 / Execution Flow

10-Step End-to-End Request Journey

Click any step to trace the journey of an inference telemetry packet — from local GPU execution hook through cryptographic verification, in-memory buffering, and vectorized ClickHouse persistence:

STEP 01Hook · AsyncIO

Inference Engine Hook

Every completed LLM request triggers an async Python telemetry hook recording token timestamps, TTFT, and prompt lengths.

STEP 02HMAC SHA-256

Cryptographic HMAC Sign

Local inference cluster signs the metric packet using a SHA-256 HMAC secret to prevent spoofed telemetry injection.

STEP 03Private VPC

Zero-Egress Gateway Ingress

FastAPI gateway receives packet strictly on private internal network (:8123) with zero public gateway routing.

STEP 04Redis 7 Streams

Redis Ring Buffer Queuing

High-density Redis in-memory ring buffers absorb 50,000+ events/sec without memory leaks or disk I/O contention.

STEP 05Vectorized SIMD

Vectorized SIMD Batching

Micro-batch worker pools aggregate telemetry points into columnar arrays every 100ms for ClickHouse ingestion.

STEP 06ClickHouse 24

ClickHouse Columnar Write

Batch inserted into ClickHouse MergeTree table with ZSTD compression, yielding 92% storage compression ratio.

STEP 07Drift Detector

Statistical Drift Anomaly Check

Real-time divergence algorithms scan latency distributions and flag GPU thermal throttling or prompt token inflation.

STEP 08WebSocket Push

Sub-Second WebSocket Dispatch

WebSocket channels broadcast normalized cluster metrics to the Next.js frontend with sub-18ms transmission latency.

STEP 0960fps Canvas

Client Canvas Spline Render

Interactive dashboard updates token velocity curves and cluster health matrices at 60fps without DOM re-flow lag.

STEP 10Zero Egress Audit

Air-Gapped Audit Trail

Immutable compliance logs written to local encrypted storage, guaranteeing full HIPAA & SOC 2 air-gapped sovereignty.

PRODUCTION TELEMETRY READY
Distributed ClickHouse Ingestion

Want zero-egress real-time observability for private AI?

We design and deploy high-throughput ClickHouse telemetry engines, Redis stream buffers, and real-time inference monitoring portals guaranteeing 100% on-premise data sovereignty.

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