Skip to content

Service Track · SVC/05 · 4–8 week modernization

Cloud Modernization & High-Throughput Telemetry

Scale multi-tenant cloud workloads with strict tenant isolation and real-time operational telemetry.

We modernize legacy monoliths using Kubernetes, PostgreSQL Row-Level Security (RLS), high-throughput event streams, and spatiotemporal forecasting models.

Ideal Buyer Profile

FinTech, SaaS & Infrastructure Teams

Typical Delivery Window

4–8 week modernization

The Operational Bottleneck

Why teams bring us in

Growing SaaS platforms hit database contention during peak loads, struggle to prove cryptographic and row-level tenant isolation to enterprise buyers, or receive sensor/risk telemetry too late to trigger automated action.

Diagnosed in a 2-Week Problem Discovery Sprint before full commitment.
Engineered Architecture

How we solve it in production

We re-architect data layers with PostgreSQL Row-Level Security (RLS), partition high-volume telemetry streams, and deploy containerized services on AWS and Kubernetes with automated observability and cost controls.

Production Stack:
  • AWS
  • Kubernetes
  • Docker
  • PostgreSQL RLS
  • Python
  • Node.js
  • Linux

What You Receive at Handover

Concrete engineering deliverables

  • Multi-Tenant Database RLS
  • High-Throughput Telemetry
  • Spatiotemporal Forecasting
  • Kubernetes & AWS Automation

Business & Technical Impact

Verifiable operational outcomes

  • Provable database-level tenant isolation for enterprise security reviews
  • Predictable latency and autoscaling during high-concurrency traffic spikes
  • Real-time operational and geospatial risk alerts from streaming telemetry

Buyer FAQ · SVC/05

Common questions before kicking off

Can you modernize our database and cloud architecture without downtime?

Yes. We use phased schema migrations, dual-write validation, and blue/green container deployments so production traffic continues uninterrupted during modernization.

How do you enforce multi-tenant data isolation?

Beyond application-layer checks, we implement PostgreSQL Row-Level Security (RLS) policies tied to verified session contexts so a query can never accidentally read another tenant's rows.