Cloud Cost Optimisation · AWS · OCI · FinOps · India

You're paying too much for cloud. Let's fix that.

DeepScience Tech's FinOps and cloud cost optimisation practice reduces AWS and OCI bills by 25–40% within 90 days — through rightsizing, reserved capacity planning, architectural improvements, and continuous cost governance. We've saved Indian enterprises over ₹15 Cr in cloud spend.

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The Cloud Waste Problem

32% of cloud spend is wasted. We find it for you.

Gartner estimates that 32% of cloud spend is wasted on over-provisioned instances, idle resources, unused reserved capacity, inefficient storage tiers, and data transfer costs that could be eliminated with architectural changes. DeepScience Tech's cost optimisation assessment identifies your specific waste — with a prioritised action plan and ROI estimate for each fix.

25–40%

Avg cost reduction achieved

90 days

Typical payback period

₹15 Cr+

Client savings to date

Zero

Upfront fee for assessment

Cost Optimisation Services

Every lever for reducing cloud spend.

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Cloud Spend Assessment

Complete analysis of your AWS/OCI bill — service-by-service, account-by-account. Identifies top 10 cost drivers, waste categories, and quick-win savings within the first week.

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Instance Rightsizing

CPU, memory, and network utilisation analysis for every EC2/OCI Compute instance. Recommendations for downsizing over-provisioned instances — typical savings 15–25% of compute cost.

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Reserved Capacity Planning

1-year and 3-year Reserved Instance and Savings Plans analysis — optimal coverage ratio, payment option modelling, and instance family flexibility planning. Typical savings 40–60% vs on-demand.

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Spot Instance Strategy

Identify workloads suitable for Spot/Preemptible instances (batch jobs, CI/CD runners, dev/test environments) — typically 70–90% cheaper than on-demand for fault-tolerant workloads.

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Storage Optimisation

S3 Intelligent-Tiering, lifecycle policies (Standard → IA → Glacier), EBS volume rightsizing, GP2 to GP3 migration, and unused snapshot cleanup — storage costs reduced 30–50%.

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Data Transfer Optimisation

Inter-region and egress data transfer costs identified and reduced through CloudFront cache hit rate improvement, VPC endpoint adoption, and data architecture changes.

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Tagging & Cost Allocation

Mandatory tagging governance implemented across all resources — enabling per-team, per-project, and per-environment cost visibility and chargeback reporting.

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Idle Resource Cleanup

Automated detection and decommissioning of idle resources — unattached EBS volumes, stopped instances, orphaned load balancers, unused Elastic IPs, and redundant NAT gateways.

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FinOps Governance

Monthly cost review cadence, budget alerts, anomaly detection, and a cost optimisation roadmap that continuously evolves as your cloud usage grows.

Typical Savings Breakdown

Where the savings come from.

In a typical ₹50 Lakh/month AWS bill, our assessment finds approximately ₹15–18 Lakhs in achievable monthly savings — split across these categories:

Reserved Instances / Savings Plans40% of savings

Instance rightsizing25% of savings

Storage optimisation15% of savings

Spot instances (dev/test)12% of savings

Idle resource cleanup8% of savings

Avg Monthly Savings₹12–18 Lakhs per ₹50L bill

Assessment Duration1 week

Implementation Time4–8 weeks

Payback Period< 90 days

Risk to ProductionZero (read-only analysis)

Ongoing GovernanceMonthly FinOps reviews

FAQ

Common questions about cloud cost optimisation

Is the cost assessment free?

Yes — the initial cloud cost assessment is completely free. We analyse your AWS Cost Explorer or OCI Cost Analysis data (read-only access), identify savings opportunities, and present our findings with no obligation. We only charge if you decide to engage us for implementation.

How do you access our cloud billing data?

We request read-only access to AWS Cost Explorer, Trusted Advisor, and AWS Compute Optimizer — or equivalent OCI services. We never need write access to your resources for the assessment phase. All data is handled under NDA.

Will rightsizing affect our application performance?

All rightsizing recommendations include a performance validation period — we monitor CPU, memory, and network utilisation for 7–14 days after changes to ensure performance SLAs are maintained. If performance degrades, we immediately roll back to the original instance size.

Do you take a percentage of savings as your fee?

We offer two models: (1) a fixed implementation fee for the optimisation work, or (2) a gain-share model where we take a percentage of verified first-year savings. The gain-share model is available for engagements where projected savings exceed ₹5 Lakhs/month.