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Cost ReductionEstablished · 5 yrs on market

ScaleOps

Autonomous Kubernetes and GPU resource optimization that rightsizes CPU, memory and GPU in real time to cut cloud spend.

By ScaleOps Inc. · 4.8/5 verified-buyer score

Positioning guardrails

Best for

  • Platform and DevOps teams running large Kubernetes clusters who want CPU, memory and GPU rightsizing automated
  • Companies with significant cloud compute spend looking to cut cost without trading away reliability
  • Teams running GPU-intensive AI/ML inference workloads that need dynamic sharing and rightsizing
  • Organizations that want to remove manual resource request and limit tuning from engineers' workloads
  • AWS/EKS users wanting higher Spot adoption and better Karpenter instance selection

Ideal size: 5–50 platform/DevOps engineers people · Scale-up or enterprise with an established Kubernetes platform team and meaningful cloud spend

Not for

  • Teams with no Kubernetes footprint or clusters too small for savings to justify a platform
  • Buyers who require published, self-serve list pricing before talking to sales
  • Workloads running mainly on serverless or other non-Kubernetes platforms
  • Buyers who need a public security/trust portal among the vendor's core pages to complete procurement

Value metrics scorecard

Time-to-Value

Under 1 week (single Helm install)

~7 days to first production value

Total Cost of Ownership

$0/yr

Starts at $0 · Custom quote; the vendor states pricing depends on factors specific to your environment. No published list price, self-serve or free tier.

Implementation Friction

1/5

Engineering + admin effort required

Buyer Score

4.8

out of 5 · verified buyers

Full cost breakdown

Mandatory implementation fee

None

Seat tiers

Not published — quotes are per environment, not per seat.

Add-on costs

  • None

Company & support

Who is behind ScaleOps, and how your team gets help once it is live.

We haven’t recorded company or support details for ScaleOps yet. Nothing here means unverified — not absent.

Market position

Where ScaleOps sits against its closest alternatives. Pick any two of cost, speed, friction and buyer score, and up to 9 companies to compare.

Quadrant view

Typical annual cost × Time-to-value

$0/yr$1/yr1d3d7d17d39dAnnual TCO ← betterDays to value better →Quick & CheapQuick & PriceySlow & CheapSlow & PriceyScaleOpsArcheraUsage.aiSedaiPumpFinout

The lines cross at the median of the solutions shown, so about half sit on each side of each line.

ScaleOps is outlined. Click any dot to open its dossier.

Companies on the chart 6 / 10

  • ScaleOps
  • Archera
  • Usage.ai
  • Sedai
  • Pump
  • Finout
Add or change companies

Up to 10 companies including ScaleOps. Listed closest first.

Stack fit signal

Compatibility with standard B2B ecosystems.

MCPNot supported

No supported MCP path today, so it cannot be driven from an AI client.

SalesforceNot supported
AWSNative
SnowflakeNot supported
HubSpotNot supported
Google WorkspaceNot supported
Microsoft 365Not supported
SAPNot supported
SlackIntegration

AI & MCP readiness

What ScaleOps ships in AI, and what it asks of your ecosystem.

We haven’t recorded AI capabilities for ScaleOps yet. Nothing here means unverified — not absent.

Compliance attestations

SOC 2 — not heldISO 27001 — not heldGDPR — not heldHIPAA — not heldFedRAMP — not heldISO 42001 — not heldIAPP AIGP* — not held

* IAPP AIGP certifies individuals, not products. It means named staff hold the credential — not that the platform does.

Bottom line

ScaleOps is an autonomous Kubernetes and GPU resource optimization platform. It continuously rightsizes CPU, memory and GPU requests, tunes replica counts, improves pod placement and Spot/Karpenter usage, and consolidates nodes, while attributing cloud cost by cluster, namespace, team or label. Deployment is self-hosted via a single Helm command with no code changes. Pricing is quoted per environment rather than published. A Slack integration pushes alerts, scaling events and cost insights into team channels.

Frequently asked questions

What does ScaleOps actually do for a Kubernetes environment?

ScaleOps continuously optimizes cluster resources: automated real-time pod rightsizing for CPU and memory, replica optimization, smart pod placement, Spot and Karpenter optimization, node consolidation, autonomous GPU workload rightsizing and AI replica optimization. It also provides cost monitoring broken down by cluster, namespace, team, application, labels or annotations, plus cluster and workload troubleshooting.

How is ScaleOps priced, and is there a free tier?

There is no published price. The pricing page states that the model depends on factors specific to your environment and that you must get in touch for an accurate quote. Plan for a sales conversation and an environment-based quote rather than a self-serve subscription; no free tier is advertised.

How long does deployment take and what effort is required?

The vendor says ScaleOps runs self-hosted on any Kubernetes environment and installs with a single Helm command, with no implementation or code changes required. Customer quotes on the site describe quick setup delivering immediate value, so teams already running Kubernetes can typically expect value within days rather than quarters.

What does ScaleOps integrate with?

The integrations page lists a Slack integration that brings alerts, scaling events and cost insights directly into team workflows. The vendor also lists AWS Marketplace, Microsoft Azure and Google Cloud availability, and the product documents AWS-specific capabilities such as Spot, Karpenter and EKS optimization.

What compliance certifications does ScaleOps hold?

ScaleOps shows SOC 2 Type II, CNCF member, Linux Foundation and FinOps Certified badges in its site footer. Because the pages reviewed do not include a dedicated trust or compliance portal, buyers with strict procurement requirements should request the underlying reports and documentation directly from the vendor before committing.