Run Kubernetes smarter.
Cut cloud waste automatically.

Slash your K8s bill by up to 40% - 70% with autonomous consolidation, container live migration, intelligent pod rightsizing, real-time cluster monitoring, and automated node auto-scaling governance.

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NVIDIA Inception Member
hub

Cluster-01 (Production)

us-east-1 • 52 Nodes

StandardOptOps AI

Cluster Health

At Risk

warning

Resource Slack (Waste)

38.5%

-34.3%

Pod CPU Requests vs Actual

Request
Actual Usage

Live Optimizations

DEPLOYMENT: AUTH-SVC

CPU:500m200m
RAM:1Gi512Mi

-$84/mo saved

CONSOLIDATION PLAN

Savings gate cleared. Executing:

Drain 2x c5.xlarge → repack

-$312/mo saved

SPOT RESCUE: CART-SVC

Interruption notice received.

Live-migrated · same pod IP

0 connections dropped

Est. Monthly Bill
$6,890(~$2.6k waste)

Runs on every major Kubernetes platform

EKS
GKE
AKS
+ any CNCF-compliant cluster
Container Live Migration

Move running pods. Drop nothing.

Consolidation and spot only save money if moving a pod doesn't mean killing it. OptOps checkpoints eligible workloads with CRIU and restores them on the destination node — memory and process state come along, and on AWS so do the pod IP and open TCP sessions.

  • check_circleMemory and process state move with the pod — no cold restart
  • check_circleSame pod IP and unbroken TCP connections on AWS
  • check_circleState-preserving migration on GKE and AKS — early access
  • check_circleDatabase-aware safety engineering for Postgres, MongoDB, and MySQL
  • check_circlePer-workload eligibility checks — OptOps only migrates what it can move safely
Explore live migration arrow_forward
deployed_codecheckout-svc
TCP Established

node-a · spot

Running · healthy

node-b · replacement

Restore target · standby

deployed_codepod · 10.0.4.17

Requests served

14,203

During migration

0 dropped

Process

Autonomy you ramp into, in three steps.

Start read-only. Watch in shadow mode. Then let it drive. You decide when OptOps goes from showing you the savings to capturing them autonomously.

Install the full stack with one Helm command

One chart brings up everything — agent, node engine, spot handler, and live migration. It starts read-only and every automation ships switched off, so nothing changes until you say so.

hub
terminal
helm install optops-agent ...
Live CPU Utilization
Monitoring
Detected Waste
Node: ip-10-0-2-12Low Utilization
analytics

Watch it think in shadow mode

The engine cross-references live CPU and memory usage against requests to find oversized pods and underpacked nodes — and shadow mode shows you every rightsize, consolidation, and migration it would make before anything is enabled.

Turn on autonomous optimization

Enable continuous rightsizing, node consolidation, and spot automation with live-migration rescue — capability by capability. Most teams see 30–40% lower bills in the first month.

auto_fix_high
Monthly Cloud Bill-40%
Before$12,500
After Optimization$7,500
Annual Savings:$60,000
Autonomous Consolidation

Fewer nodes. Same workloads.

Most clusters run far below capacity, paying for nodes that sit half-empty. OptOps continuously bin-packs pods onto fewer nodes and powers down the ones it drains — no dropped workloads, no manual rebalancing.

  • check_circlePacks workloads to ~90% utilization before scaling down
  • check_circleDrains and terminates emptied nodes automatically
  • check_circleEvery move is safety-gated and fully reversible
dnsCluster consolidation
node-01
38%
node-02
38%
node-03
38%
node-04
38%
node-05
38%
node-06
38%

6 nodes · avg 38% utilized

Spot Automation

Spot without the roulette.

Spot instances cut compute costs dramatically — if your workloads can survive the interruptions. OptOps makes them survivable.

move_up

Rescue, not restart

When the cloud reclaims a spot node, OptOps live-migrates your workload off it — same memory, same connections, same pod IP — proven against real AWS FIS interruption drills.

33s rescue · same pod IP
alt_route

When spot runs dry

Diversified spot pools, automatic on-demand fallback, and a stockout circuit breaker — a capacity crunch never strands your workloads.

Automatic fallback
query_stats

Know why, not just what

Quota and capacity root-cause insight tells you exactly why spot isn't landing — with a link to the fix. Plus rescue that starts moving workloads before the 2-minute warning even fires.

Early access

Estimate your savings with the ROI calculator arrow_forward

Trust, Verified

Don't take our word for it.

This category has a credibility problem: inflated savings claims and automation you're asked to trust blindly. We built the opposite — mechanisms you can verify yourself.

science

Run the drill yourself

Fire a real AWS spot interruption at your own opt-in workload and watch it survive with state intact. Self-service resilience drills, in your cluster.

visibility

Shadow mode first

See every action OptOps would take — every rightsize, consolidation, and migration — before you let it act.

verified

Never-lose-money gates

Every consolidation plan must clear savings and safety gates before it executes. If a plan doesn't save money, it doesn't run.

receipt_long

Numbers you can audit

Realized savings and remaining opportunity are reported separately — never netted, never inflated, never double-counted.

check_circleRead-only by defaultcheck_circleNo secrets collectedcheck_circleDecisions made in your clustercheck_circleIndependent third-party security assessmentcheck_circleISO certification in progress
FAQ

Your Questions, Answered

OptOps is an autonomous Kubernetes cost-optimization platform built for DevOps, platform, and FinOps teams running EKS, GKE, AKS, or any CNCF-compliant cluster. It consolidates nodes, automates spot, and rightsizes pods continuously — and on AWS it uses container live migration to do it without disrupting running workloads (early access on GKE and AKS).
Only when you tell it to — and you ramp into it. OptOps starts in read-only analysis mode. Shadow mode then shows you every action it would take — every rightsize, consolidation, and migration — before anything is enabled. From there you switch on automation per capability and per cluster, at your own pace.
A lightweight in-cluster agent collects metadata and utilization metrics. Sensitive data such as secrets and environment variables are never collected — and optimization decisions are made inside your cluster, not on our SaaS.
Teams typically see a 30–70% reduction in Kubernetes infrastructure costs depending on current overprovisioning, and most see 30–40% in the first month. Savings estimates are shown clearly before any action is taken — and realized savings are reported separately from remaining opportunity, never netted together.
It can work alongside Cluster Autoscaler and Karpenter, or take over node optimization when you're ready. The OptOps node engine stays stock-Karpenter-compatible, so there's no lock-in: if you ever leave OptOps, you leave with working Karpenter — not a proprietary controller. A guided Cluster Autoscaler to Karpenter migration with preflight checks, a canary node, and rollback is available in early access.
Every workload is checked for migration eligibility first — OptOps only live-migrates what it can move safely, and tells you honestly when it can't. Databases get extra care: application-consistent handling for Postgres, MongoDB, and MySQL is part of the stateful-safety engineering behind every move.
Yes. OptOps is designed for BFSI, fintech, gov-tech, and enterprise environments. It starts read-only, collects no secrets, keeps decision-making inside your cluster, and gives you full auditability. The platform has completed an independent third-party security assessment, and ISO certification is in progress.
warning

A $500 mistake becomes a $15,000 annual problem.

By the time you spot waste on your monthly bill, you've already paid for it.

60%

cost cut

30 days

to get there

0

production incidents

Read the case study arrow_forward
Calculate ROI