Clace – Application Server with support for scaling down to zero

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I have been building the open source project https://github.com/claceio/clace . Clace is an application server that builds and deploys containers, allowing it to manage webapps in any language/framework. Compared to application servers like Nginx Unit, Clace has the advantage of being able to work with any application, without requiring any dependency or packaging changes. Clace provides a blue-green staged deployment model for apps. Not just code changes, even configuration changes are staged and can be verified before being made live. Clace is not a PaaS solution, it does not support deploying databases and other auxiliary services. It does share the fact that it manages containers with PaaS solutions. Clace is different in that it builds its own reverse proxy, instead of depending on Traefik/Nginx. This allows Clace to implement features like shutting down idle apps and adding app level OAuth authentication. Clace runs natively on Windows/OSX in addition to Linux. Clace works with Docker/Podman/Orbstack. Clace allows you to run hundreds of apps on a single machine. Since app containers are shut down when not in use, there is no CPU/memory resource usage when the apps are idle. It provides a Google Cloud Run type interface on your own hardware. https://clace.io/ has a demo video and docs. Do let me know any feedback.

Visit product View on Hacker NewsSep 11, 2024

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Product HuntOn track for Day 1 leaderboard · Strong signals: mac, model, google · Missing: agents, macos, agent

88%88% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

79%79% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: open source, nginx, ide · Missing: https docs, excited, just released

66%66% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRFits verified-revenue profile · Strong signals: apps, video, google · Missing: mobile apps, ios, personal

50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: interface · Missing: plus, platform, intuitive

36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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