Torb – make Kubernetes DevOps easier

Hacker News

https://github.com/TorbFoundry/torb Hey HN, about 9 months ago I was getting infrastructure set up for a project and it was taking way too long. It took hours before I was even able to begin working on the project itself instead of the infrastructure and it wasn't particularly pleasant. I got fed up and that's when I started thinking about how I could make it easier for people to develop with Kubernetes locally and then quickly deploy to a production environment in a consistent way that respects a set of best practices and leveraging some common infrastructure tools like Terraform and Helm under the hood. The result of this was Torb. The mission is to make it simple and easy for software engineers to create and deploy infrastructure on Kubernetes with best practices in place. For now I've been focusing on getting projects launched on an existing cluster, but I'd like to eventually help with bootstrapping clusters as well. I've been dog fooding this on my own projects for a bit now and have also had some friends who are using the tool and giving me feedback.

Visit product View on Hacker NewsApr 22, 2023

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Hacker NewsStrong engagement from HN community · Strong signals: exist, existing, io · Missing: https docs, excited, just released

83%83% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

73%73% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

73%73% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: month, way · Missing: mobile apps, ios, personal

44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

32%32% 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

12%12% 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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