Why We Chose Rust for a Deployment Platform

TL;DR: Rust lets us ship the Temps control plane as one binary that contains the proxy, deployment engine, analytics pipeline, error tracking backend, uptime monitor, and AI gateway. The proxy (Pingora) has no GC pauses under traffic spikes, and one process replaces the separate services you'd otherwise run and upgrade. The tradeoff: longer compile times and a steeper learning curve.

Why Use Rust for a Deployment Platform?

The short answer: Rust combines single-binary distribution, no garbage collector in the request path, and cheap cross-compilation — three properties that are load-bearing for a self-hosted deployment platform. Go gets you two of the three; Node.js, Python and PHP get you none without extra packaging.

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 a stack of Docker images, a Node.js or PHP runtime, 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.

The Temps control plane is one binary. No language runtime, no interpreter, no package manager to satisfy. That binary contains the proxy, the deployment engine, the analytics pipeline, the error tracking backend, the uptime monitor, and the AI gateway. Around it, Temps uses Docker to run your apps as containers and TimescaleDB (PostgreSQL) for its own data — the installer sets up both:

# Installs Docker, TimescaleDB and the Temps binary on a fresh server
curl -fsSL https://temps.sh/deploy.sh | bash

See the quickstart for server requirements.

Rust makes the single binary practical. Cargo links all the Rust dependencies into the executable, so you cross-compile for x86_64-unknown-linux-gnu or aarch64-apple-darwin, upload the artifact, and it runs. No "please install a matching runtime" 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, any pause in the request path is visible to users.

Go's garbage collector has gotten excellent, and its pauses are usually short. But "usually" is the problem. Under memory pressure, during a traffic spike, collection work competes with request handling. And a deployment platform sees bursts by definition — deployments themselves generate internal traffic (health checks, container start-up, route swaps).

Rust has no garbage collector. Memory is freed deterministically when the owning variable goes out of scope, so there is no collector to pause the proxy. That predictability matters when you're routing traffic for a production application in the middle of a zero-downtime deployment.

3. One Process Instead of Five

The alternative to a single binary is assembling the toolkit yourself:

Each is another process (often several containers) with its own runtime, upgrades, backups and failure modes. In Temps they're modules of one Rust process sharing one database, so there is one thing to upgrade and one set of logs to read. Rust's lack of a VM and runtime is what makes bundling that much into one process reasonable.

How much memory Temps uses depends on your apps and how much telemetry you ingest; size the server from the quickstart requirements rather than from a headline number.

4. Pingora: A Proxy Without Compromise

Temps uses Pingora — Cloudflare's open-source proxy framework, also written in Rust — for all traffic routing. Cloudflare built Pingora to replace nginx in its own network, citing nginx's limited connection reuse across worker processes, and runs more than a trillion requests a 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, and connections can be reused across threads. The result is consistent throughput under load, not throughput that degrades as connection count climbs. One HTTP/2 edge case from running it is written up in the HEAD request bug that hangs clients.

For zero-downtime deployments (starting new containers, health-checking them every 5 seconds before cutover, then 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 lets Temps bundle the observability tools into the same binary as the proxy and deploy engine — something that would mean a much heavier process with a Node.js or Python runtime.

Cross-Compilation Without Tears

Temps builds ship for multiple targets from the same source tree, and the installer picks the right one:

# Linux x86_64 or ARM64 — same install command
curl -fsSL https://temps.sh/deploy.sh | bash

With Rust, cross-compilation is mostly a target flag. Each release publishes four binaries — Linux x86_64, Linux ARM64, macOS Intel and macOS Apple Silicon — from the same source. No emulation layer is 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. How we keep the compile-and-review loop fast with AI tools is in how I use AI to build a Rust project.

Temps is licensed MIT / 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