Djuno - monitoring, management, and migration of any IT infrastructure

Hacker News

Hi, I'm a co-founder of Djuno. It's a convenient and easy to use tool for monitoring, management and migration of any IT infrastructure (cloud or on prem). We've built it to solve our own problems with cloud infrastructure, mainly the lack of transparency, vendor lock-in and escalating costs of AWS, Azure, GCS and similar. Adding Djuno to your toolkit creates an open and flexible "portable IT environment (because you can take it with you and run on any infrastructure)" for storage, processing, databases, compute, and HPC (some call it “Omni-cloud”) on top of the existing cloud and/or on-prem resources. The monitoring part aggregates all the operational and cost data into a single pane of glass dashboard. The automated management takes care of orchestration and recovery (less Ops more time for Dev). Here is a link to a short product demo video: https://youtu.be/tA6WJc7PVig I'm happy to send you a docker image if you want to install and test it. We can also assist in the installation and onboarding process. I'd love to hear what you think. here's our website https://djuno.io/

Visit product View on Hacker NewsOct 15, 2020

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2points

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

76%76% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

59%59% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

55%55% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

31%31% 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

13%13% 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.

Incorrect prediction on native model

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