Core Capabilities

CAP_STACK_002

[ 01/06 ]

Microservices Architecture

Decoupled services. gRPC + Event-driven. Zero-downtime deploys.

GRPC • EVENT_DRIVEN

[ 02/06 ]

High-Performance APIs

REST, GraphQL, WebSocket. <18ms latency. Rate limiting built-in.

REST • GraphQL • WS

[ 03/06 ]

Multi-tenant SaaS

Row-level security. Isolated schemas. Efficient resource sharing.

RLS • SCHEMA_ISO

[ 04/06 ]

Cloud Infrastructure

AWS/GCP/Azure. IaC. Auto-scaling. < 4 hour RTO.

K8S • TERRAFORM

[ 05/06 ]

Data Pipeline & Analytics

ETL automation. Real-time dashboards. Petabyte scale.

KAFKA • DREMIO

[ 06/06 ]

Enterprise Security

SOC2 • HIPAA ready. End-to-end encrypted. Penetration tested.

SOC2 • E2E ENCRYPT

Architecture Built for 99.99% Uptime

Every SaaS backend we ship includes redundancy, automated failover, and predictive monitoring. No cold starts. No thundering herds.

01

Security-First Design

SOC2, HIPAA, GDPR. Penetration tested quarterly.

02

Elastic Scaling

Auto-scale to 10x load. sub-100ms spinup time.

03

Zero-Downtime Deploys

Blue-green. Database migrations. Rollback instant.

99.99%

Uptime SLA

<18ms

API Response

50k+

Req/sec Max

SaaS Engineering Pipeline

PROCESS_V4.1

01/DISCOVERY

Requirements Audit

System analysis, capacity planning, tech stack fit.

02/DESIGN

Schema & APIs

Database design, API contracts, security scoping.

03/DEVELOPMENT

Core Services

Microservices build. Concurrent development sprints.

04/TESTING

QA & Security

Unit + integration tests. Pen testing. Load stress.

05/DEPLOYMENT

Cloud Launch

CI/CD setup. Multi-region. Monitoring live.

06/SCALE

Growth Support

24/7 ops. Auto-scaling. Performance tuning.

Architect Your Scale

What does end-to-end SaaS development include? +

Full-stack engineering: API design, microservices architecture, database optimization, multi-tenant isolation, real-time sync, caching strategies, security hardening, deployment pipelines, and production monitoring. We handle cloud infrastructure decisions (AWS/GCP) through ongoing scale-out support.

How long does MVP development take? +

6-12 weeks for MVP depending on scope. Phase 1: Discovery & architecture (1-2 weeks). Phase 2: Core API + auth (2-3 weeks). Phase 3: Feature build-out (2-4 weeks). Phase 4: Testing & deployment (1-2 weeks). Agile 2-week sprints with weekly stakeholder reviews.

Can you scale to production volumes? +

Yes. Our platforms serve 50k+ concurrent requests/second with <18ms latency. We design for 10x growth from day one: auto-scaling services, database sharding, CDN integration, async job processing. Production-ready from MVP.

What about retention & migration from legacy systems? +

We build data bridge layers. Legacy DB sync'ed via CDC (Change Data Capture) or batch ETL. Strangler pattern for gradual migration. Zero-downtime deployments. Rollback-ready for every change. Existing customer retention stays at 99%+ during transitions.