Executive Telemetry & Knowledge Engine
Columnar Analytics & Vector RAG
ClickHouse · Redis · Next.js 15
100% Private VPC (Zero Egress)
Sub-120ms cohort queries across 50M+ records
Sub-120ms aggregation across 50M+ rows tracking multi-department token consumption and churn.
P99 Analytical Query Latency
Vectorized SIMD cohort aggregation running 42x faster than legacy PostgreSQL queries.
Enterprise Data Ownership
All queries, embeddings, and telemetry execute inside the client private VPC with zero cloud egress.
Event Ingestion Throughput
Redis in-memory ring buffers absorbing massive concurrency with micro-batching every 250ms.
Relational Query Deadlocks vs. Data Egress Compliance
Enterprise leadership struggled to extract actionable real-time insights from massive operational event databases — waiting days for manual SQL reports while traditional OLTP databases deadlocked under analytical concurrency, and compliance rules strictly barred piping confidential telemetry to foreign analytics clouds.
Relational Query Deadlocks
Traditional OLTP SQL databases lock up and time out when running analytical cohort queries over tens of millions of rows.
Data Egress Compliance
Sending internal financial records and user telemetry to external US analytics SaaS breaches GDPR and enterprise sovereignty covenants.
Three Strictly Decoupled Production Tiers
Executive Query Portal
Translates natural language questions into optimized ClickHouse SQL with interactive streaming canvas charts and strict row-level security.
Streaming Ingestion Buffer
Redis Streams buffer up to 50k events/sec in memory, flushing micro-batches into columnar tables every 250ms with zero row lockups.
ClickHouse Columnar Core
Applies 10x ZSTD compression and vectorized SIMD processing for sub-120ms aggregation across 50M+ historical event records.
Production Engineering Tooling
ClickHouse 24
Vectorized SIMD · MergeTree · 10x ZSTD
High-performance analytical engine executing sub-120ms cohort queries across 50M+ raw operational logs.
Next.js 15.1
App Router · React 19 · Canvas Visuals
Zero-egress analytics dashboard rendering real-time cohort matrices and retention curves over WebSockets.
Redis 7 Streams
Circular Buffers · 50k Events/sec
Absorbs high-velocity operational event spikes in memory and micro-batches records every 250ms.
PostgreSQL 15
Metadata Store · Tenant Security
Stores user role permissions, report definitions, dashboard layouts, and enterprise audit trails.
Python 3.11
NumPy · Pandas · Vectorized Workers
Executes batch ingestion workers, anomaly detection algorithms, and statistical cohort models.
TypeScript
Strict Mode · Shared Event Contracts
Guarantees end-to-end schema consistency from microservice event payloads through ClickHouse tables.
Supabase & Auth
Role-Based Security · Multi-Tenant
Enforces strict row-level security and SAML Single Sign-On for enterprise executive access.
Tailwind CSS
JIT Compiler · Bespoke Editorial Dark
Delivers crisp data-dense typography, custom telemetry badges, and high-contrast analytical views.
Docker Container
Compose Fleet · Private VPC
Packages ClickHouse, Redis, and Next.js into an air-gapped container fleet running inside client VPCs.
Vector RAG Core
pgvector · Schema Embedding Catalog
Translates natural language questions into optimized ClickHouse SQL queries through semantic mapping.
Apache Arrow
Zero-Copy Interop · SIMD Buffers
Eliminates serialization overhead between Python worker nodes and ClickHouse ingestion sockets.
Ubuntu Linux
Kernel 6.8 · Memory Buffer Tuning
Dedicated enterprise hardware with tuned network buffers and zero third-party cloud data egress.
Verified Production Topology Blueprint
The Cortex high-throughput analytics topology — microservices telemetry ingress, Redis Streams in-memory buffer, ClickHouse MergeTree columnar cluster, and sub-120ms Next.js executive portal.
Interactive Code Workbench
import redis
import json
import time
# Cortex Ingestion Buffer (50,000 events/sec)
r = redis.Redis(host="127.0.0.1", port=6379, db=0)
def publish_event(event_type: str, user_id: str, metadata: dict):
payload = {
"timestamp": time.time(),
"type": event_type,
"user_id": user_id,
"metadata": metadata,
"egress_allowed": False
}
# Append to memory-mapped Redis stream
return r.xadd("cortex:events", {"data": json.dumps(payload)})< 120ms P99
Vectorized SIMD processing over 50M+ rows
10.4x Compact
840GB of raw JSON compressed down to 78GB
100% Zero Egress
Zero third-party analytics SaaS leakage
10-Step End-to-End Request Journey
Click any step to trace the journey of an analytical query — from raw microservice event stream through in-memory Redis buffering, vectorized ClickHouse ingestion, and executive canvas rendering:
Raw Event Dispatch
Microservices emit real-time telemetry events over internal Redis stream sockets with zero external cloud egress.
50k/sec In-Memory Ring Buffer
In-memory circular queues absorb high-concurrency event bursts without disk I/O bottlenecks or database locking.
Micro-Batch Columnar Aggregation
Worker pool compresses event streams into columnar arrays every 250ms using Apache Arrow memory formats.
ClickHouse MergeTree Ingestion
Batch written to ClickHouse columnar storage with 10x ZSTD compression, shrinking 840 GB down to 78 GB.
Natural Language Question Input
Executive asks: 'Show retention drop-off across tier-1 enterprise customers after the v3 update'.
Vector Semantic Retrieval
Question embedded via text-embedding-3-small and matched against database schema catalog vectors.
Vectorized SIMD Cohort Execution
ClickHouse compiles vectorized query across 50M+ rows, calculating retention cohorts in under 120ms.
Role-Based Row Security (RLS)
Enforces cryptographic tenant isolation ensuring executives only view metrics authorized for their business unit.
Real-time WebSocket Push
Results streamed to the Next.js frontend with live delta updates as new event micro-batches complete.
Interactive Canvas Spline Render
Fluid 60fps canvas visualizes retention curves, cohort matrices, and predictive trajectory bands.
Ready to deploy sub-second executive BI with zero data egress?
We design and deploy vectorized ClickHouse architectures, in-memory Redis buffering pipelines, and natural-language vector RAG interfaces inside your private VPC.