Proof,not portfolio.
A portfolio shows the interface. It doesn't show a row lock contending, traffic doubling overnight, or a region going dark. We show the eight systems built to survive those conditions.
For established businesses whose growth has outgrown their foundations.
You already know what it's like to ship something real. Most founders we work with have built something significant, but their systems don't scale to it yet.
That gap costs more than downtime. It costs the certainty that your architecture will finally survive a sudden viral moment or the volume you never saw coming.
Types catch broken contracts. Real-runtime tests catch failure modes mocks can't. Deployment validation catches configuration errors before production. You don't receive a promise that it works: you receive the evidence.
Code that hasn't passed all three isn't done.
$ wrangler typesRegenerates configuration without errors. Binding mismatches die here.
$ vitest runExecutes 973 specs inside the real Workers runtime (Miniflare, D1, KV, R2, Durable Objects, Queues). Zero mocks.
$ wrangler deploy --dry-runValidates deployment bindings before anything ships.
A portfolio shows the interface. It doesn't show a row lock contending, traffic doubling overnight, or a region going dark. We show the eight systems built to survive those conditions.
Raft leader election and heartbeats that keep a cluster coordinated when a node or network link fails—not just when everything is healthy.
// raft · leader election · 150ms heartbeat
CRDTs merge concurrent edits by rule rather than a central lock, so replicas can converge after independent changes.
// crdt · merkle merge · no central lock
A coordinator drives prepare → commit across partitions, so the transaction is all-or-nothing.
// 2pc · coordinator · all-or-nothing
Watermarks place late and out-of-order events into the correct time window without forcing the whole stream to be replayed.
// event time · watermark · late / out-of-order
A Bloom filter checks likely membership before storage is touched, keeping unnecessary reads out of the database.
// bloom filter · k=4 m=64
CDC streams database mutations downstream instead of repeatedly polling for changes, with idempotent handling for at-least-once delivery.
// change data capture · idempotent sink · no polling
HdrHistogram captures the long tail in microseconds, where p99 and p99.9 latency reveal behavior averages conceal.
// hdrhistogram · p50 / p95 / p99 · µs buckets
An incremental dependency graph recomputes only the affected downstream nodes, with cycle protection built into execution.
// dag · topological order · cycle guard
Eight systems built around the parts that couldn't afford to fail.
Read the code on GitHubA complete architectural mapping of Designing Data-Intensive Applications to modern edge runtimes. Every chapter, the hard parts included, engineered and verified.
A production-grade blueprint for high-concurrency multi-tenant commerce, from catalog streaming to atomic multi-region checkout.
Ten places where managed cloud providers don't cover the hard part. Each one built, tested against real runtimes, and documented.
Consensus, CRDTs, 2PC, CDC, windowing, columnar, graph, sketches, formal methods, mesh. If it's missing, we build it.
We don't sell generic development hours. We map engineering disciplines directly to the exact failure modes threatening your business.
Some of the most expensive cloud problems are decided before the first server is provisioned. We diagnose the constraint upstream before writing code, and eliminate the landmines that explode cloud bills at 10x.
A short diagnostic that names the actual constraint on your business (data, infrastructure, workflow, payment, auth, reporting, integration, or architecture). You get a one-page brief that names the bottleneck and the system it implies.
With the bottleneck identified, we design the system that removes it. Data model, service boundaries, consistency, failure modes, scalability ceiling, and the cost traps you'd otherwise hit later.
Build the system. Verify continuously against three gates: type checks pass; tests pass inside the real runtime, not mocks; deployment bindings validate. Code that hasn't passed all three isn't done.
Operate the system, or hand it over with a clear operations manual. Identify the next bottleneck. The studio prefers long-term relationships where the engagement evolves as the business evolves.
We pick our projects carefully: not to be difficult, but because this is the only area where we can truly deliver exceptional value. If your problem isn't a deep systems challenge, we'll tell you upfront, so you don't waste your budget chasing the wrong solution.
2–4 weeks
A diagnostic constraint report naming the bottleneck + 10x scaling roadmap. Fixed-fee.
3–6 months
Design, build, and verify the production system that removes the bottleneck with 3-gate CI. Fixed-fee.
6–12 months
Ongoing architectural stewardship, performance profiling, and system evolution as volume scales. Retainer.
Send us a system. We'll answer one question for free: what would break if it grew 10x?
No NDA theatre, no sales call. A written teardown of the bottleneck and the landmines we'd scan for, yours to keep.
Here's what you need to consider before engaging the studio.