Open-source tool to deploy infrastructure in any cloud

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We have been working on multy.dev, an open-source cloud agnostic API that makes it easy to deploy the same infrastructure to any cloud provider using native managed services. The motivation was the realisation that, even when using Terraform, migrating infrastructure code requires an end-to-end re-write. Even though most core resources are the same in any major cloud, developers need to learn a new provider to deploy the same infrastructure when moving providers. We are still in early days of development and currently support the core services from AWS and Azure: - Networking (virtual_network, subnet, route_table, security_group, network_interface, public_ip) - Compute (virtual_machine, managed kubernetes) - Database (managed MySQL databases) - Vault (managed secrets) - Storage (managed storage) - Abstraction of cloud differences (Azure VM public vs AWS EC2 private by default) - Deployment through Terraform We’re looking for feedback from other developers about our approach. Let us know your thoughts! GitHub: https://github.com/multycloud/multy

Visit product View on Hacker NewsMay 16, 2022

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

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: ide, io · 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.

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

53%53% 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

27%27% 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

15%15% 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

14%14% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

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