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InfrOS
Predict and validate cloud architectures before launch
534 followers
Predict and validate cloud architectures before launch
534 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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Launch Team / Built With
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
@yangoj Awesome stuff, congrats on the launch! For the 43% cost reduction — is that coming mostly from right-sizing, or more about actually catching architectural mistakes (wrong service choices, bad topology) that humans miss?
InfrOS
@yangoj @mickhalsband It comes from everything you wrote :)
We have too many examples - getting premium storage when standard would suffice, unused reserved instances OR too many spot instances, and many more things like that
InfrOS
@mickhalsband - Thanks Mick!
Not just right-sizing. A lot of the savings come from catching architecture choices that don’t really fit the workload early on - wrong services, unnecessary complexity, overprovisioning, or topology decisions that become painful later. Right-sizing is part of it, but a lot of the value comes from getting the architecture right from the start, or addressing the root cause rather than just the symptom
This solves one of the most expensive mistakes in tech — deploying a cloud architecture that doesn't scale the way you expected. The "predict before launch" approach could save teams weeks of post-launch firefighting.
Curious about the validation accuracy: when InfrOS predicts a bottleneck or failure point, how often does that match what actually happens in production? Have you tested against real-world incidents where the prediction was made before deployment?
As someone running a SaaS on Vercel + Supabase, I'd love to know if it supports serverless/edge architectures or if it's primarily focused on traditional cloud setups (EC2, ECS, etc.).
InfrOS
Congrats on the launch! I like the concept of optimizing your cloud infra. Was this designed more as a configuration optimization or migration/setup of your entire cloud infra? I'm also interested in how the "emulation" works since this is a very proactive approach. Without deploying and observing traffic patterns, how are you are able to determine the optimal cloud configs?
InfrOS
@tteer Thanks, Tod!
Yes, we configure whole workloads and systems, including very large ones. You can give it a shot with a free trial account and let us know what you think.
About the emulation part - we deploy the top 3 architectures we design in a sandbox and benchmark them according to your specifications, what you get is a validated comparison between the three candidates, not an estimation
InfrOS
@tteer Thank you, Tod!
Emulation is one of the core parts of what we do. And yes, migration is also a big part of the story, since InfrOS is vendor-agnostic and can support teams whether they’re planning new environments or evolving existing ones.
A big part of the shift-left value is preventing drift between production and what’s defined in Git (an issue we all know too well...), while validating decisions before deployment.
Trufflow
This feels extremely relevant for solo devs or small teams that are price sensitive and are actively thinking of ways to keep costs down. Are there ways to be able to isolate for what's driving cloud cost after getting set up?
InfrOS
@lienchueh Yes! We support both green and brown field projects. The platform will help you design an optimal architecture on day 1, and then keep it optimized as you keep deploying code (and the cloud vendor adds/reducts features)
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
@alielastal - Exactly! the value is in making architecture decisions based on observed behavior in emulation, not just static design assumptions. That’s what helps surface bottlenecks and trade-offs before deployment, and we’re continuously expanding the depth of that capability.
Feel free to try the self-serve platform - there’s a free trial :)
@alma_s Makes total sense — decisions based on observed behavior beat assumptions every time. Excited to see where this goes!
InfrOS
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!