Shipped. Measured. Documented.

Three production systems, documented end to end — the architecture decisions, the rejected alternatives, and the arithmetic behind every number.

Results labelled measured, identified or modeled · representative work by our principal engineers, completed before CoreBackend LLC was formed

Enterprise Integration

Business Integration Hub

The Challenge

150-person firm drowning in manual CSV exports across 4 disconnected systems. $50K+ in annual data errors.

Impact

20 → 0 hours of manual CSV work per week — measured

<2s data sync

4 → 1 systems, one platform

50+ → 2/mo integration errors (−96%)

Built with Go · AWS · Aurora Serverless v2 · SQS · EventBridge

Cloud FinOps

Cloud Cost Optimization Platform

The Challenge

$2.3M annual cloud spend across AWS, GCP, and Azure with no unified visibility; enterprise tools quoted ~$50K/yr.

Impact

$160K/yr of savings identified in the first 30 days

$239/mo run cost, excl. build

$2.3M spend managed

3 clouds unified view

Built with Go · ECS Fargate · Aurora Serverless v2 · SQS · Multi-Cloud APIs

Distributed Systems

High-Performance Data Access Layer

The Challenge

Read-heavy B2B platform stuck at 45 ms P99 reads against sharded PostgreSQL, with a 100K ops/sec pool ceiling and a compliance audit approaching.

Impact

<1 ms P99 on cache hits, from 45 ms — modeled, benchmark-gated

45 ms baseline P99, measured

≈4 ms expected read latency, modeled

RPO = 0 by design

Built with Go · Raft · Redis Cluster · PostgreSQL · Kubernetes

Have a system that is not holding under load?

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