Automatically move applications to containers

Hacker News

While not everyone knows how to run a containerized infrastructure, everyone knows their application should run in a container. This tool can move any application to a container (i.e. Docker) without reconfiguration. 1) Goto www.evolute.io and add name/e-mail to get access 2) Download and extract (on your Linux machine) wget https://github.com/evoluteio/chrysalis/archive/0.5.tar.gz 3) Run Chrysalis (`crysls`) VMware crysls --mgmt-server MyESXiServer.localdomain.com --user root --vm MyVMName Amazon EC2/GCE/Azure VM crysls --vm-host MyVmServer.publicdomain.com --user root --vm MyVMName More docs here: https://github.com/evoluteio/chrysalis 4) Give Some Feedback http://bit.ly/ChrysalisFeedback or developing@evolute.io Next Steps: Auto-instantiation of application Auto-generated Docker files Clustering (auto-Kubernetes support) ...

Visit product View on Hacker NewsNov 19, 2017

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2points

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

68%68% 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: mac, user, dock · Missing: agents, macos, agent

63%63% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

41%41% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

33%33% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

15%15% 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

5%5% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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