Why We Chose Rust for a Deployment Platform

Rust is the right language for a deployment platform because it produces a single self-contained binary with no runtime dependencies, deterministic memory management (no GC pauses under load), and cross-platform builds from a single source tree — properties that matter far more than memory safety alone when you're routing production traffic.

TL;DR: Rust lets us ship Temps as one binary (~80MB download) that contains the proxy, deployment engine, analytics pipeline, error tracking backend, uptime monitor, and AI gateway. The process idles at roughly 50MB RAM versus 600MB+ for an equivalent Node/Go/Python stack. The proxy (Pingora) has no GC pauses under traffic spikes. The tradeoff: longer compile times and a steeper learning curve.

Why Use Rust for a Deployment Platform?

The short answer: Rust uniquely combines single-binary distribution, sub-50MB idle RAM, and GC-free latency — all three of which are load-bearing properties for a self-hosted deployment platform. No other mainstream language delivers all three simultaneously.

The longer answer spans four areas:

1. Single Binary Distribution

Deployment tools have a distribution problem. Install a typical self-hosted PaaS and you're pulling Docker images, Node.js runtimes, PHP scripts, and a handful of dependencies that need to stay in sync. Something breaks in an update, and you're debugging which layer of the stack caused it.

Temps ships as one binary. No runtime, no interpreter, no package manager to satisfy. Download it and you're done. That binary contains the proxy, the deployment engine, the analytics pipeline, the error tracking backend, the uptime monitor, and the AI gateway.

# Install Temps — no Node.js, no Docker, no runtime required
curl -fsSL https://temps.sh/install.sh | bash

Rust makes this possible. The compiler links everything statically. You cross-compile for x86_64-unknown-linux-gnu or aarch64-darwin on a Mac, upload the artifact, and it runs. No "please install libssl-dev" errors on the target server.

Go can do this too, but Go has a garbage collector.

2. No GC Pauses Under Load

The proxy is the most latency-sensitive piece of the platform. Every HTTP request passes through it. When you're routing hundreds of concurrent connections and doing TLS termination, a pause of even 10ms is visible to users.

Go's garbage collector has gotten excellent. Modern Go applications see GC pauses in the 1–2ms range under normal conditions. But "normal conditions" is the problem. Under memory pressure, during a traffic spike, when large objects are being collected, pauses creep up. And a deployment platform sees traffic spikes by definition — deployments themselves generate bursty internal traffic (health checks, container spin-up, route swaps).

Rust has no garbage collector. Memory is freed deterministically when the owning variable goes out of scope. The proxy's latency profile under load is the same as its latency profile at idle. That predictability matters when you're routing traffic for a production application doing a zero-downtime deployment.

3. 50MB for an Entire Platform

The full Temps process — handling active deployments, collecting analytics, running the proxy, and polling for uptime — idles at roughly 50MB of RAM.

Compare that to what you'd need to assemble the equivalent toolkit:

Stack the separate tools together and you're at 600MB+ before your first application is even deployed. On a small VPS with 2GB RAM, that's 30% of available memory gone to tooling.

Rust's compiled code is dense. There's no VM overhead, no JIT warm-up, no per-request interpreter work. The binary does exactly what the source code says, at hardware speed.

4. Pingora: A Proxy Without Compromise

Temps uses Pingora — Cloudflare's open-source proxy engine, also written in Rust — for all traffic routing. Cloudflare built Pingora because nginx's architecture doesn't handle connection reuse well at scale. Cloudflare now processes trillions of requests per day through it.

Pingora uses async Rust (tokio) for its I/O model. Each worker thread handles thousands of concurrent connections through non-blocking I/O, without the per-connection thread overhead of nginx's workers. The result is consistent throughput under load, not throughput that degrades as connection count climbs.

For zero-downtime deployments (spinning up new containers, running health checks every 5 seconds with auto-rollback on failures, swapping routes under live traffic), this matters. The proxy doesn't buckle when deployment events create a burst of internal routing work.

Rust vs PHP vs Node.js for a Deployment Platform

Temps vs Alternatives: What Rust Enables

The Rust choice enables Temps to bundle six observability tools into one binary without the memory footprint becoming prohibitive — something that would not be practical with a Node.js or Python runtime.

Cross-Compilation Without Tears

Temps builds ship for multiple targets from the same source tree. The install script picks the right binary automatically:

# macOS Apple Silicon, macOS Intel, Linux x86_64 — same install command
curl -fsSL https://temps.sh/install.sh | bash

With Rust, cross-compilation is a compile flag. The CI pipeline produces target binaries for x86_64-linux-gnu, x86_64-darwin, and aarch64-darwin from the same source. No containers, no QEMU, no emulation layer needed on the target machine.

A Practical Note

None of this means Rust is the right tool for every problem. The landing page is Next.js. Infrastructure scripts are bash. Rust earns its complexity budget specifically where you need compile-time guarantees, low overhead, and predictable runtime behavior.

The key question when evaluating Rust for a project is whether the proxy and concurrency requirements justify the learning curve and compile times. For a deployment platform's core, the answer was yes. For most other projects, it wouldn't be.

Temps is Apache 2.0 and free to self-host. The source is at github.com/gotempsh/temps.

Related Reading

• How git-push deployments work under the hood — the pipeline Rust powers
• How to add zero-downtime deployments to any Docker app — the traffic swap details
• Temps vs Coolify 2026 — full platform comparison