My

My new OpenVZ-oriented distro based on el6

Hacker News

My new OpenVZ-oriented distro based on el6

Hi HN, I've been working on a distro that incorporates OpenVZ virtualization technology with an OS base derived from el6 upstream. It has all the usual features of el6 (gnome2 desktop, apache 2.2.15, php 5.3.3,etc) and has an OpenVZ kernel along with OpenVZ utilities built into the distro without any further tweaking. Here's the project URL: http://www.classiccitytelco.com/?page_id=488 It's really a labor of love for me as I've always loved fedora/rhel and openvz but always hated the amount of time it took to get all of that working correctly when setting up a new server or workstation (from installing the kernel, the 3rd party repos, setting sysctl.conf just right, etc) and RHEL, CentOS and Scientific kindly ask not to expect support (community or commercial) when you use a 3rd party kernel. As a result, as it's our main focus, we are offering this distribution for anyone to use free of charge. I hope you guys enjoy it and I welcome any comments or questions that you may have. edit: fixed spelling

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Product HuntOn track for Day 1 leaderboard · Strong signals: new, open · Missing: mac, agents, macos
68%68% 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.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
63%63% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
58%58% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal
38%38% 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
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
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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