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[PR #672] Add Temps to PaaS #5272
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📋 Pull Request Information
Original PR: https://github.com/awesome-foss/awesome-sysadmin/pull/672
Author: @dviejokfs
Created: 2/17/2026
Status: 🔄 Open
Base:
master← Head:add-temps-to-paas📝 Commits (2)
46ee0e8Add Temps to PaaSeded71eUpdate Temps description to mention Vercel/Railway/Render alternative📊 Changes
1 file changed (+1 additions, -0 deletions)
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README.md(+1 -0)📄 Description
Thank you for taking the time to work on a PR for Awesome-Sysadmin!
To ensure your PR is dealt with swiftly please check the following:
DemoandClientsare optional.Do not add a duplicate
Source codelink if it is the same as the main link.Keep the short description under 80 characters and use sentence case
for it, even if the project's webpage or readme uses another capitalisation.
Demolinks should only be used for interactive demos, i.e. not video demonstrations.- [Name](http://homepage/) - Short description, under 250 characters, sentence case. ([Demo](http://url.to/demo), [Source Code](http://url.of/source/code), [Clients](https://url.to/list/of/related/clients-or-apps)) `License` `Language`Languagetag is the main server-side requirement for the software. Don't include frameworks or specific dialects.Suggested titles: "Add aaa to bbb" for adding software aaa to section bbb,
"Remove aaa from bbb" for removing, "Fix license for aaa", etc.
Temps is a self-hosted deployment platform built in Rust that consolidates what typically requires multiple SaaS tools (Vercel + Sentry + Plausible + managed DBs) into a single binary. It provides git push-to-deploy with automatic framework detection, built-in web analytics, error tracking (Sentry-compatible), session replay, managed PostgreSQL/Redis/MongoDB, S3-compatible storage, automatic TLS via Let's Encrypt, and zero-downtime rollouts. It supports Next.js, Vite, Go, Python, Rust, Java, .NET, and Docker. Dual-licensed under MIT/Apache 2.0.
Yes, I've been using Temps for several months to deploy and manage web applications in production.
Both personal projects and professional production workloads.
Multiple web applications across different environments (staging/production), with managed database instances and monitoring for each.
Pros: Single binary deployment (no complex Docker Compose stacks), built-in observability (analytics + error tracking + session replay) eliminates the need for separate tools, Rust-based so very resource efficient, Pingora-powered reverse proxy handles TLS automatically, managed databases are provisioned alongside apps. Compared to Coolify or Dokku, the integrated observability stack is a major differentiator.
Cons: Newer project compared to established alternatives like Dokku or CapRover, so the community is still growing.
The single-binary approach makes installation and upgrades straightforward. The built-in analytics and error tracking are production-quality and eliminate the need to self-host separate tools like Plausible and Sentry. The MCP (Model Context Protocol) integration for AI-assisted development workflows is a unique and forward-looking feature.
🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.