nOps - Cloud Optimization Platform

What do you like best about the product?

There are very few automated commitment management platforms with nOps giving the best results and highest savings.

What do you dislike about the product?

Great team and very responsive support. Nothing to dislike.

What problems is the product solving and how is that benefiting you?

nOps provides automated commitment management for AWS, GCP, and Azure. Compared to competitors this vendor can save more.

What do you like best about the product?

nOps helps us manage AWS Reserved Instances (RIs) and Savings Plans (SPs), and it can adapt as our AWS resource usage patterns change. With nOps, we avoid getting locked in for 1–3 years the way we might with self-deploying AWS RIs and/or SPs.

What do you dislike about the product?

I’m encouraged by the progress of the AI tools, though they’ll be even more helpful as they continue to improve. The integrations with Claude and ChatGPT are also encouraging.

What problems is the product solving and how is that benefiting you?

We regularly update our fleet of EC2 instances to stay aligned with the best price/performance instance types for our use cases. Knowing we can make these changes without disrupting our Reserved Instances and Savings Plans coverage gives us confidence that these fleet updates won’t jeopardize our cost savings.

What do you like best about the product?

The developer API combined with nOps' container-level cost visibility. It breaks EKS spend all the way down to per-namespace and per-application cost (the Cluster Application Cost view), which native AWS billing tags never gave us, and it surfaces idle "Excess Capacity" we'd otherwise never have caught. Because it's all exposed through a clean API, we pulled org-wide cost, per-app breakdowns, and Savings Plan/RI coverage straight into our own automated weekly and monthly reports. The clincher: nOps' figures reconcile to the dollar against AWS Cost Explorer, so we treat it as our source of truth rather than just another dashboard telling a different story.

What do you dislike about the product?

The main friction was the developer API's discoverability. The endpoint paths aren't clearly documented — they're spread across a few different prefixes and the OpenAPI/Swagger spec sits behind a session login, so we spent time probing to find the right cost/usage endpoints. A few things we wanted (like the org-level savings summary) are only exposed in the UI rather than via the API key, and generating the API key itself — with the RSA signature-verification step — was more involved than expected. None of it was a blocker: once we found the right endpoints everything worked and reconciled cleanly. But clearer API reference docs and fuller API-to-UI parity would make integrations a lot faster.

What problems is the product solving and how is that benefiting you?

nOps solves AWS cost visibility and attribution across a multi-account, EKS-heavy estate. Before, most of our spend was effectively unattributable native billing tags left the majority of cost untagged, so we couldn't reliably say which app or team drove a change. nOps gives us cost broken down to the namespace, application, and container level, plus an idle "Excess Capacity" metric that flags reclaimable EKS capacity we couldn't see before. It also manages our Savings Plans and RIs, so commitment coverage is handled rather than guessed at.

My primary use case for nOps is automated AWS cost optimization, FinOps compliance, and infrastructure visibility. I use it to instantly surface underutilized resources and automate the management of spot instances and handle lifecycle commitment features like saving plans and reserved instances seamlessly.

In our cloud infrastructure setup, nOps helps us automate cost optimization as we host several high-throughput client platforms across multi-tier AWS organizations. We integrate nOps directly with our AWS cost and usage reports, CURs, and infrastructure event streams. A typical workflow involves nOps continuously scanning our products launched in the production environment, such as auto-scaling groups, containers, and clusters. If it detects over-provisioned compute power or idle RDS instances during off-peak hours, it triggers automated resizing recommendations or the scheduling of spot market instances to keep operational costs low.

nOps has positively impacted our organization by shifting our engineering culture from reactive cloud cost tracking to proactive cloud financial engineering. Instead of waiting for an unexpectedly high monthly cloud bill to arrive before investigating, our DevOps team gets automated alerts and continuous actionable insights to prune waste in real-time.

Since making this shift, we have seen a twenty to thirty percent reduction in the total AWS compute expenditure, which represents a significant win for us.

The standout feature nOps offers is ShareSave for automated commitment optimizations, the nOps dashboards, and its granular event-driven visibility into daily cloud cost spikes. It goes far deeper than native tools such as AWS Cost Explorer by correlating a cost surge directly with the exact infrastructure configuration changes or deployment events.

The most valuable capability for our daily work is AI-driven spot instances orchestration through nOps' ShareSave feature. Running enterprise web applications safely on spot instances requires incredible precision to prevent downtimes. When AWS reclaims the capacity, nOps automates the preemptive shifting of workloads across spot pools, which allows us to maximize compute discounts completely risk-free.

While the AWS integration is flawless and deeply mature, I believe the multi-cloud capabilities for platforms such as Microsoft Azure or Google Cloud Platform can sometimes feel a bit less comprehensive in comparison.

When dealing with highly complex custom enterprise billing agreements or custom AWS tiers, the dashboard calculations can occasionally require manual fine-tuning to perfectly reflect the customized billing structure. Streamlining the onboarding setup for non-standard enterprise discount configurations would make it a flawless out-of-the-box experience.

I have been using nOps for almost two years.

nOps earned its score because it delivers a good or exceptional return on investment and provides unparalleled visibility into complex AWS infrastructure. However, it misses a perfect score because multi-cloud feature parity is still catching up to its gold-standard AWS toolset.

My advice for others looking into using nOps is to start by setting up the read-only integration to run a baseline cost and architectural audit. Let the platform analyze your actual infrastructure using the usage patterns for a couple of weeks to surface immediate quick wins, such as orphaned EBS volumes or idle RDS instances before diving deeper into the automated spot or saving plans commitments. I have given this review a rating of eight out of ten.

Public Cloud

Amazon Web Services (AWS)