Production infrastructure you never have to run.

Why this matters

Standing up production infrastructure is specialized work: compute that scales with traffic, storage that doesn’t lose data, a global edge, redundancy so one failure doesn’t take an app down. It’s most of what a platform or ops team exists to do. A workforce building its own software can’t do it, and shouldn’t have to.

On Remy, it’s solved once, by the platform, and every app inherits it identically. The foundation is the same whether an app serves ten people or the whole company. “Will it hold up under load?” stops being the builder’s problem, because the answer never depended on anything the builder did.

Built on proven foundations

Remy runs on the proven infrastructure a large share of the modern web already runs on. AWS and Cloudflare are the anchors, alongside the rest of a standard production stack: auto-scaling compute, durable storage, a global CDN, TLS at the edge. Ordinary, well-understood foundations, nothing exotic, and none of it the builder’s to assemble.

These are the same building blocks a well-funded engineering team would reach for. An app inherits them already assembled and operated. Nobody on the building side touches a load balancer, a certificate, or a scaling policy.

Secure by inheritance

Security works the same way as scale and reliability: solved once, inherited by every app. Someone who isn’t a security engineer ships an app that arrives with a security posture they never had to build.

Each app runs isolated, with its own data and secrets reachable only by that app. Authentication is the platform’s, not the app’s: no hand-rolled login, no credentials in app code, sessions and role enforcement handled centrally. Secrets are held by the platform and injected at runtime, never checked into code. Traffic is served over TLS.

At the org level, every deploy produces a cited security and governance assessment and a filled CAIQ, grounded in the deployed code and rolled up into one workspace-wide view of what’s been built. Every action, across the workspace and inside the apps themselves, lands in an immutable, OCSF-exportable audit log that feeds an existing SIEM. Access is governed by roles and SSO, and deprovisioning takes effect the moment someone leaves.

Where a workspace’s data lives is a choice, not a default you’re stuck with. An admin can pin the workspace to a region, United States, European Union (Frankfurt), Canada, or Australia (Sydney), and everything it stores at rest is written there. That list will grow, the choice is changeable anytime, and an opt-in migration moves existing data when you need it.

The platform holds SOC 2 Type I and Type II attestations and complies with GDPR. Current reports and the full security posture are in the Trust Center.

Isolation by design

Every app is its own unit: its own database, its own secrets, its own runtime. Not a tenant sharing one large system. That single choice does two jobs at once.

It’s how the platform scales. Most scaling pain in shared, multi-tenant systems comes from contention: one busy app slowing its neighbors, a shared database straining under everyone’s load at once. There’s no shared system here to contend for. Scaling to thousands of apps just means more independent units, each bounded by its own usage.

It’s also the security boundary. An app can reach only its own data and its own secrets, so there’s no shared surface for one app to read another’s records or leak another’s credentials. A misbehaving app stays contained to itself. What takes deliberate effort to enforce inside a shared system is just the shape of this one.

Fast everywhere

Apps are quick for the people using them, wherever they are. Media, images, and static assets are served from a global CDN close to the user. TLS terminates at the edge. Each app’s data is served from a hot working copy rather than fetched across a network on every query, so reads are local and fast. Performance isn’t something a builder tunes after the fact. It comes from where and how the platform runs the app.

Stays up, loses nothing

App-serving compute runs across redundant instances and scales out automatically as demand rises. No single machine is a point of failure, and a traffic spike doesn’t mean an outage.

Each app’s database is continuously checkpointed and mirrored to object storage. Data survives failure and stays recoverable: durability lives in the storage layer, not something the app has to arrange.

Each release is built and promoted as a unit, with the previous release intact behind it. Shipping a change can’t leave an app half-updated or take it down.