Syscov
Consultation
Consultation

Service — Full-stack engineering

One team across every layer of the stack.

Most projects do not fail inside a layer. They fail between them — where the interface meets the data model, or where the build meets production. Keeping the whole stack in one team is how those gaps stop appearing.

Discuss ArchitectureExplore Capabilities
DISCIPLINEFull-stack engineering
CAPABILITIES3 Core Domains
ARCHITECTUREProduction-Grade
DELIVERY MODELDedicated Squads
RELIABILITY99.99% Standard

01 / 3

Frontend architecture

Interfaces get harder as they grow. Clean architectural boundaries decide whether that is manageable.

Production-grade user interfaces that stay maintainable as scale, routing, and user state multiply.

  • Deterministic state management without unpredictable re-renders
  • Rendering strategy selected per route (SSR, SSG, streaming edge)
  • Full keyboard accessibility and semantic standards built in from day one
syscov-runtime // frontend-architecture-harness.ts
RENDER PIPELINE ACTIVE
RUNTIME: EDGE WORKERSTTFB: 38ms

Streaming Edge SSR

React 19 Server Components stream raw HTML chunks from regional edge nodes before full JavaScript hydration.

01
Edge Gateway
Geo-routed to closest PoP in 12ms
VERIFIED
02
Streaming HTML Shell
Immediate critical DOM paint
VERIFIED
03
Suspense Boundary
Deferred async data resolved out-of-band
VERIFIED
04
Selective Hydration
Client listeners attached only to interactive islands
VERIFIED
PRODUCTION BUDGETSLCP < 0.8s SLA
TIME TO FIRST BYTE38msRegional Edge
INITIAL JS BUNDLE14.2 KBTree-shaken
LAYOUT SHIFT (CLS)0.000Zero Jank
A11Y ACCESSIBILITY100%WCAG 2.1 AA
RUNTIME CONTROLS & RESILIENCE GATES
Tagged cache invalidation in < 18ms across 320 edge locations

02 / 3

Backend & APIs

Backend architecture is a long-term foundation. Breaking changes and unhandled concurrency cost months.

High-throughput microservices, event streams, and contracts that frontend and partner systems can depend on.

  • Service boundaries designed around business domains, not raw database tables
  • High-throughput gRPC and REST APIs with strict schema versioning
  • Resilient event-driven workers handling asynchronous jobs and delivery
syscov-runtime // backend-microservices-mesh.go
MESH TRAFFIC ONLINE
SERIALIZATION: PROTOBUF V3P99: 4.8ms

gRPC & Protocol Buffers

Binary-encoded RPC contracts operating over multiplexed HTTP/2 streams for zero-overhead internal microservice transport.

N01
API Gateway (Kong / Envoy)
mTLS Termination & JWT Validation
HEALTHY
N02
Order Domain Service
Bi-directional streaming gRPC
HEALTHY
N03
Inventory Ledger
Idempotent state reconciliation
HEALTHY
N04
Telemetry Exporter
Distributed OpenTelemetry spans
HEALTHY
THROUGHPUT TELEMETRYmTLS Enforced
THROUGHPUT64,000 ops/sZero Drops
P99 LATENCY4.8msSub-15ms Guarantee
ACTIVE WORKERS64 PodsKubernetes HPA
AVAILABILITY SLA99.999%Multi-Region Failover
RESILIENCE INJECTION & CHAOS TESTING
Simulates sudden traffic spikes to demonstrate horizontal worker scaling and queue backpressure.

03 / 3

Data & persistence

The data model outlives every interface. It must remain fast, consistent, and cleanly queryable.

Scalable transactional databases, caching tiers, and schema migrations that remain fast under high concurrency.

  • Relational and vector schemas modelled directly on operational realities
  • Query planning and indexing tuned against production volume, not seed data
  • Reversible, zero-downtime database migrations rehearsed in staging
syscov-runtime // postgres-persistence-engine.sql
DATABASE CLUSTER HEALTHY
PATTERN: EXPAND & CONTRACTREPL LAG: 1.8ms

Zero-Downtime Migration

Database schema evolutions executed without global table locks. Backward-compatible dual writes ensure zero downtime during rollouts.

01
Expand Phase: Add Non-Breaking Columns
Nullable columns & default triggers committed without exclusive locks
VERIFIED
02
Dual-Writing & Background Backfill
Asynchronous worker process backfills historical rows in small batches
VERIFIED
03
Data Integrity Verification
Automated hash reconciliation proves 100% data parity across revisions
VERIFIED
04
Contract Phase: Deprecate Legacy Fields
Clean removal of old column definitions after application version cutover
VERIFIED
CLUSTER TELEMETRYWAL Archiving Active
INDEX HIT RATIO99.7%Zero Seq Scans
TABLE LOCK TIME0.0ms (No Locks)Concurrent DDL
REPLICATION LAG1.8msPhysical Streaming
POOL EFFICIENCY98.4%PgBouncer Tuned
ONLINE MIGRATION DRILL
Demonstrates non-blocking DDL schema expansion with zero locks and automated rollback safety.

07 — The stack

Every layer connected.

A strong product is not a collection of isolated services. Syscov approaches the stack as one connected system.

Frontend

  • React
  • Next.js
  • Responsive interfaces
  • Design systems

Backend

  • API design
  • Business logic
  • Service architecture
  • Integrations

Database

  • Data modelling
  • PostgreSQL
  • Data access
  • Performance

Cloud & infra

  • Cloud platforms
  • CI/CD
  • Observability
  • Scaling

AI & automation

  • AI workflows
  • LLM integration
  • Process automation
  • Agent systems

Security

  • Secure foundations
  • Access control
  • Data protection
  • Risk-aware delivery

Integrations

  • Third-party APIs
  • Payments
  • CRM systems
  • Operational tools

Engineering Principles

Three things we hold to.

How we approach every engagement — the non-negotiables that keep systems maintainable, compliant, and buildable.

RULE 01 // FOUNDATION

Decisions in context

A choice in one layer accounts for the others, because the same people own all of them.

Unified TypeScript type models shared across frontend & backend
RULE 02 // EXECUTION

Short handoffs

No specification thrown between teams — the gap where requirements get lost simply is not there.

Proven, battle-tested primitives over experimental dependencies
RULE 03 // GOVERNANCE

Production is the target

Deployment, monitoring, and operability are designed in, not discovered afterwards.

Realistic staging loads & chaos resilience before release

Engagement Outcomes

Production deliverables you own from day one.

Every engagement produces tangible codebases, automated pipelines, and operational specs your internal team actually runs.

DEL-01STACK ARCHITECTURE

Unified Cross-Layer Codebase

Cohesive end-to-end system spanning client state, backend APIs, background workers, and persistent data models.

  • Single source-of-truth TypeScript models
  • Zero duplication between API & client state
  • Idempotent asynchronous queue processing
100% IP Transfer
DEL-02DATA MODEL

Schema & Migration Pipeline

Strictly normalized relational schema with indexing strategies, connection pooling, and zero-downtime migration scripts.

  • Automated backward-compatible migrations
  • Query optimization & index tuning
  • Connection pooling & failover routing
Zero Vendor Lock-in
DEL-03RELIABILITY

Automated Test Matrix

Multi-layered test coverage combining unit, integration, and contract tests executing on ephemeral staging environments.

  • Contract tests for all third-party APIs
  • Deterministic test data seeding
  • Chaos fault injection & resilience suites
Automated CI/CD Gates
DEL-04HANDOVER

Deployment & Team Transition

Containerized deployment manifests, automated release pipelines, and comprehensive documentation for your engineers.

  • Blue-green zero downtime deploy scripts
  • Architecture specs & runbook blueprints
  • Direct engineer-to-engineer onboarding
Full Operational Independence

Tell us what you are trying to build.

Bring the constraint that worries you most. That is usually the fastest way to work out whether this is the right service for the job.

ConsultationAll services
Principal engineer review·48h scoping·Zero sales friction