Launching today
InfrOS
Predict and validate cloud architectures before launch
444 followers
Predict and validate cloud architectures before launch
444 followers
For teams building cloud systems, InfrOS designs and validates inherently optimized architectures that align to your priorities. It doesn’t just predict outcomes, it proves them through emulation before deployment - and helps you evolve infrastructure with control over time.
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Hey Product Hunt:)
A lot of thought went into making this practical, not just theoretical. Really excited to launch it!!
InfrOS
Hey Product Hunt 👋
I'm Naor, co-founder and CEO of InfrOS.
The standard cloud workflow is broken — and everyone's normalized it:
Deploy → watch things break → optimize reactively. Repeat forever.
We flipped it.
InfrOS takes your requirements upfront — business, technical, compliance — and proactively designs the right architecture before anything gets built. We then emulate it in a real environment to validate performance before a single resource is provisioned. What you deploy is already optimized. Real optimized.
And when your codebase, requirements, cloud provider offering, environment or price changes? InfrOS reoptimizes at the design level. Not a patch. A controlled redesign.
We call it shift-left optimization. We don't predict how your cloud will perform — we prove it.
Early customers are seeing 43% infrastructure cost reductions and 63% faster deployments. We just closed our first Fortune 500 deals through the Ignite DeepTech accelerator, and we're opening InfrOS to the broader community today.
🎁 Product Hunt exclusive: Use code PHLAUNCH for 20% off our paid plans— valid 7 days.
Two things I'd love your feedback on:
Does the shift-left framing resonate with how your team thinks about infrastructure?
What's the hardest part of your current architecture workflow?
We'll be here all day — ask us anything.
🙏
— Naor
This is a strong take on a problem many teams have simply accepted as normal. The idea of validating and optimizing infrastructure before deployment feels far more practical than constantly reacting after things break. I am especially curious about the emulation layer you mentioned. How closely does it match real-world production behavior across different cloud environments?
InfrOS
@akshay_kumar_hireid Thanks! that’s exactly why emulation is such a core part of what we do.
It’s not just an abstract validation layer. We actually run the proposed architectures in our own cloud environment (in a very focused and non-costly way), based on the system requirements and, when relevant, what our agent learns from the existing environment.
That allows us to identify the strongest architecture options for the system’s requirements and gives teams visibility into likely outcomes before deployment. So instead of relying on generic best practices or assumptions, we can evaluate how each architecture is expected to behave in the real world.
That’s what gets us much closer to real-world production behavior across different cloud environments: not just recommending an architecture, but proving expected results before it goes live.
The idea of proving architectures through emulation before deployment is really compelling. How detailed is the emulation — does it simulate real traffic patterns and failure scenarios?
InfrOS
@alielastal thanks for your interest.
Yes, absolutely, and performance. We expand it regularly. Architectures are all about bottlenecks so this capability should end guesswork.
@yangoj That's great to hear! Simulating bottlenecks before they hit production is a game-changer. Looking forward to seeing how it evolves.
InfrOS
really interesting angle on cloud optimization this feels like solving the problem at the right stage instead of waiting for infra issues to show up later. the “prove it before deploy” part especially stood out. how are you handling cases where requirements change very frequently across teams?
@nayan_surya98 Appreciate it!
About requirements that change frequently, That's one of our strongest points. Our mission is to make infrastructure dynamic and evolve over time - without having to spend entire teams' sprints on non-necessary Rearchitecting.
That's why we connect to the actual environment, emulate and PROVE the results of Rearchitecting in terms of performance, cost, reliability etc. and can prove exactly when the ROI for that is positive - and when you shouldn't spend any time on that.
So, the more changes your teams make - the more value you can get from knowing when you really should rearchitect, instead of guessing
Hope that answers your question:)
InfrOS
@nayan_surya98 Thank you for your interest and support. We're here all day if you have any more questions
InfrOS
Really excited to finally share this and grateful to everyone taking a look today! I truly believe this product will reshape the way teams design their infrastructure. We’re here all day, come say hi!