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Cloud optimization and visibility

Visibility that acts.

Seeing the waste is the easy part. We help you remove it: automation schedules, right-sizes, rebalances commitments and cleans up, then checks every saving on your actual bill.

At a glance

What it does
Automation that finds and removes cloud waste on AWS, Azure and Google Cloud: it schedules, right-sizes, rebalances commitments and cleans up.
Business outcome
40–90% lower cloud cost across major areas, confirmed on your own bill. About $5M saved every month across our clients.
Who it is for
CFOs and CTOs who want savings that stay, without adding headcount. Every change is policy-checked, logged and reversible.
Monthly cloud run-rate
$198K−52%
Illustrative client
$200K$300K$400KWithout automation12345
Week 0Week 12
What the automation did
  1. 1
    Non-prod environments scheduled off-hoursNights and weekends, by policy
    −$56K
  2. 2
    Kubernetes workloads right-sizedEKS, GKE and AKS requests tuned to real use
    −$55K
  3. 3
    Savings Plans and RIs rebalancedCoverage matched to actual usage
    −$39K
  4. 4
    Orphaned volumes, snapshots and IPs removedDeleted after a policy check
    −$41K
  5. 5
    SaaS licences reclaimedInactive seats returned before renewal
    −$23K

Proven in lower environments first, then automated in production with your approval.

Problem → solution

Problems we fix

Common problems we solve, each with technology our engineers have vetted and proven in your lower environments first.

  • ProblemOver-provisioned pods and nodesSolutionKubernetes optimizer that right-sizes continuously, without risking uptime
  • ProblemPaying on-demand for steady workloadsSolutionCommitment management: savings with less lock-in
  • ProblemDisks paid for but sitting emptySolutionStorage that scales with real usage
  • ProblemIdle GPUs between jobsSolutionGPU pooling with automatic failover across clouds

A loop that keeps running, so savings stay

Waste creeps back as teams ship new things. That’s normal. The automation keeps detecting, deciding, acting and checking, so your team doesn’t have to.

24/7continuous
DetectIdle, oversized and orphaned resources, found continuously
DecidePolicy checks what is safe to change
ActThe change is made automatically
VerifyThe saving is confirmed on the next bill

Everything the practice takes care of

SCHEDULESNon-production on a timer

Environments run only when your teams are working.

RIGHT-SIZESCompute and Kubernetes

Autoscaling and right-sizing for EKS, GKE and AKS, kept in Infrastructure-as-Code.

REBALANCESCommitments and rates

Savings Plans, Reserved Instances and committed-use discounts: maximum coverage, minimum lock-in.

ORCHESTRATESHybrid and multi-cloud

Workloads run where price and capacity are best, with automatic failover.

TUNESDatabases and storage

Autonomous storage right-sizing and database performance tuning for availability and speed.

SHOWSVisibility for every team

Real-time cost views, budgets, anomaly alerts and showback or chargeback.

MANAGESSaaS spend

Licences and renewals rationalized, with buy-now-pay-later and local-currency buying options.

OBSERVESPerformance and observability

Real-time monitoring so issues are resolved before they reach your users.

SUPPORTSDevOps, FinOps and CloudOps

Pipelines, spend and operations run as one practice, with 24/7 support.

Estimate your monthly savings

Move the slider to your current cloud bill. We apply the typical 40–90% reduction our clients see.

$10K$2M
Today
Current bill
At 40% off
$60K
At 90% off
$10K
$40K – $90KPotential savings per month. Confirmed for free in your review.
Get my free review
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Cloud optimization questions

What is automated cloud cost optimization?

It is software and engineering that finds cloud waste and removes it directly: scheduling idle environments, right-sizing compute and Kubernetes, rebalancing commitments and deleting orphaned resources, then checking the saving on your bill.

Which cloud cost problems does Recklabs fix?

Over-provisioned pods and nodes → Kubernetes optimizer that right-sizes continuously, without risking uptime. Paying on-demand for steady workloads → Commitment management: savings with less lock-in. Disks paid for but sitting empty → Storage that scales with real usage. Idle GPUs between jobs → GPU pooling with automatic failover across clouds. Each fix uses technology our engineers have vetted and proven in your lower environments first.

How much can we expect to save?

Clients typically see 40–90% lower cost across major cloud areas, with first measurable savings within weeks of starting.

Will automation change production without our approval?

No. Changes are proven in your lower environments first, and roll out to production with your approval.

Which clouds do you support?

AWS, Microsoft Azure and Google Cloud, including hybrid and multi-cloud setups, working with platforms such as CAST AI, Archera, JellyCloud and Datafy.

See the savings on your own bill

Share your cloud bill with us for a free 30-minute assessment. We’ll show where the savings are and prove them in your lower environments first.

Book a cloud cost assessmentsales@recklabs.com+91 78381 44063