nOps automatically adapts your commitments to actual usage, so you stop leaving discounts on the table with zero lock-in risk. Unlike ProsperOps, you also get anomaly detection, forecasting, and cost allocation built in. And you only pay after we save you money.
nOps manages $4B+ in annual cloud spend for innovative brands, from startups to enterprises, saving them 50%+ autonomously.
Leading ProsperOps Alternative
ProsperOps stops at RI and SP automation, leaving compute, storage, containers, and GenAI workloads unoptimized.
nOps continuously optimizes across commitments, compute rightsizing, storage, Kubernetes containers, and GenAI - all automated in one platform.
ProsperOps lacks key visibility features like budgeting, reporting, anomaly detection, unit economics, and cost allocation
nOps provides unified visibility and optimization across multicloud and AI (including compute and non-compute)
ProsperOps is now part of Flexera, which often brings longer onboarding cycles, heavier processes, and more complex tooling.
nOps is built for quick setup and immediate savings, with automation across commitments, compute, Kubernetes, storage, and GenAI.
| Feature | nOps | ProsperOps |
|---|---|---|
| Fully Automated Management of RI and SP | ||
| Commitment Monitoring & Visibility | ||
| 20% More Savings Compared to Competitors | ||
| Financing and “insurance” | ||
| Fee structure aligns incentives with customer | ||
| Official AWS partner | ||
| Official AWS partner |
STEP 1
Connect AWS Account
STEP 2
Get a 2-Week Free Trial
STEP 3
Get Your Free Savings Analysis
No credit card required.
Set up in < 5 minutes
No need to juggle multiple tools – instantly view and allocate all of your combined cloud costs in one single pane of glass
“Partnering with nOps made it easy and seamless to optimize our AWS costs. The platform's automated cost optimization and commitment management reduced our AWS spend significantly, allowing us the time to focus on building and innovating. The flexibility nOps offers means we can stay agile and efficient without the risk of long-term commitments.”
Matt Morgan
Head of Engineering & Product, US, CommentSold
“nOps has transformed how we manage our AWS infrastructure. We considered several solutions, including another Reserved Instance solution, and then decided to work with nOps because it was a more complete solution. It gave us automated commitment management and an effortless way to track and monitor our costs with Business Contexts. We have seen a significant reduction in costs and highly recommend nOps to any organization looking to optimize their cloud costs and improve operational efficiency.”
Herman Lotter
Technology Operations Manager, Kurtosys
“As a FinOps lead at Arlo, I view cost transparency as non-negotiable, and nOps has delivered exactly that. The platform gave us end-to-end visibility into our cloud spend, eliminating guesswork and surfacing the true cost drivers across our environment. What stands out is how quickly the insights translate into action. nOps doesn’t just present data, it highlights the specific optimizations, anomalies, and inefficiencies we can address immediately. Those recommendations have driven real cost reductions for us while strengthening accountability across engineering teams.”
Alex Kuan
FinOps Lead, Arlo
“nOps provided the visibility and control we needed to optimize our AWS costs without long-term commitments. I highly recommend nOps for cloud optimization and managing cloud costs effectively.”
Andy Kwan
Senior Director of Infrastructure, BENlabs
“nOps has been invaluable in helping manage the intricacies of optimizing AWS environments and costs in today’s dynamic environment. The nOps Commitment Manager program provides us with the agility to progress and innovate, without the typical constraints associated with long-term commitments. The platform also gives us a clear and transparent picture of our costs, so we can plan and rightsize our resources accordingly.”
Khaled BEN JANNET
Datacenter & Cloud Team Leader, Vermeg
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• No credit card required • Free savings analysis • Risk-free adoption
Both automate RI and Savings Plan purchasing across AWS, Azure, and GCP. The difference is how continuously each tool adapts. nOps rebalances every hour so coverage stays tightly matched to actual usage as it shifts. That gap in optimization frequency is where the additional ~20% in savings comes from. You only pay after savings are generated.
No. Commitments are the starting point, not the finish line. nOps continuously optimizes across compute, storage, Kubernetes, and GenAI workloads, all automated in one platform. ProsperOps is primarily focused on commitments, with limited coverage beyond that. Anomaly detection, forecasting, full cost allocation, and SaaS/AI visibility aren't part of their offering.
Yes. nOps provides unified visibility and cost allocation across AWS, Azure, GCP, Kubernetes, and SaaS tools like Snowflake, Datadog, MongoDB, and OpenAI, all in one dashboard.
nOps adjusts your commitments every hour to match actual usage as it shifts. Most tools rebalance on a fixed schedule, meaning every time your workload changes between rebalances, discounts go uncaptured. Hourly optimization closes that gap continuously, which is where the additional savings come from.
No long-term contracts, no commitment exposure beyond your subscription. You can exit at any time. And if the numbers from your free savings analysis don't move you, you walk away with nothing lost.
No. nOps connects via read-only access to your cloud environment with no infrastructure modifications required. Setup takes under 5 minutes and optimization runs automatically from day one.
Yes. nOps provides automated container rightsizing, multi-dimensional pod autoscaling, real-time node utilization monitoring, and Spark workload optimization. Both Karpenter and Cluster Autoscaler are supported with no vendor lock-in. ProsperOps has no Kubernetes capabilities.
Results-based — you only pay a portion of actual savings generated. If nOps doesn't save you money, you don't pay. No upfront costs, no minimum contracts.
Teams moving from ProsperOps typically gain meaningful additional savings from hourly rebalancing alone, plus optional end-to-end optimization across compute, storage, Kubernetes, and GenAI that ProsperOps doesn't cover. Start with a free savings analysis to see the specific gap in your environment.
