Full-Stack · Distributed · Cloud-Native

Engineering the systems behind production-grade products.

StackForce Technologies designs, builds, and operates multi-tier software systems for enterprise teams. From schema migrations to global edge deployment, we ship resilient infrastructure that compounds in value with every release cycle.

TypeScriptGoRustPostgreSQLKafkaKubernetesAWS · GCP · AzureTerraform
stackforce/edge-orchestratormain
1// edge-orchestrator :: multi-region request fanout
2import { Cluster, Gateway, Telemetry } from "@stackforce/core";
3
4export const orchestrator =
5 Cluster.compose({
6 regions: ["us-east", "eu-west", "ap-south"],
7 gateway: Gateway.tls({ http2: true, hsts: true }),
8 telemetry: Telemetry.otel({ sampling: 0.25 }),
9 failover: "active-active",
10 });
11
12// SLO: p99 < 180ms · error budget 99.95%
99.97%
Mean uptime across operated clusters
<180ms
P99 gateway latency, global edge
6.4×
Throughput gain post-modernization
42%
Cloud spend reduction, average engagement
Product Engineering Cycle

Six phases, one continuously deployed system.

Each engagement runs through a six-phase lifecycle that keeps architecture, code, and operations in lockstep. Phases overlap deliberately so feedback from production rewrites the next sprint's backlog.

01phase

Discover

System audit, telemetry capture, constraint mapping.

02phase

Architect

Domain decomposition, data flow, infra blueprinting.

03phase

Engineer

Service authoring, schema migrations, CI hardening.

04phase

Integrate

Cross-stack contracts, event buses, gateway wiring.

05phase

Operate

Observability, SLOs, autoscaling, on-call rotation.

06phase

Evolve

Feedback loops, refactors, capacity rebalancing.

Backend Cluster Topologyregion: multi-az
Edge / CDNAPI GatewayAuth ServiceService AService BQueue / BusDatastore
Backend Cluster Architecture

Topology designed for blast-radius isolation.

Our reference topology decomposes traffic across an edge tier, a stateless gateway plane, and isolated service domains. Asynchronous workloads flow through a durable event bus while data services run behind strict per-tenant boundaries.

  • Active-active multi-AZ deployment with regional failover
  • Per-service circuit breakers and adaptive concurrency limits
  • Event-sourced write paths with replayable consumer groups
  • Continuous chaos drills validating SLOs in production
Begin an engagement

Submit your project for technical ingestion.

Every engagement starts with a structured intake. Share your stack, stage, and scope — an engineer reviews the submission and responds with a discovery brief within one business day.

Direct line: info@stackforcetechnologies.com

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Full-Stack Project Ingestion

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