For SaaS & HealthTech Scale-ups

AWS Cost Optimization for SaaS & HealthTech Scale-ups

Cut your AWS bill 30-50% in 90 days without sacrificing reliability or performance. FinOps-led, with measurable savings before the engagement ends.

Book Free Cost Audit →Download Cost Checklist

AWS · FinOpsQuick Wins

Your AWS bill grows faster than your revenue.

38%

Typical Bill Cut

Days to Savings

5×

Avg ROI

Reliability Loss

Most AWS bills carry 30–50% optimization headroom. The hard part is finding it without breaking production.— FinOps Foundation, State of FinOps 2025

Avg Bill Cut

−38%

The Problem We Solve

Engineering optimized for speed. Now finance needs the same.

01, RUNAWAY GROWTH

Our AWS bill is growing faster than our revenue.

Without ownership, AWS spend compounds. EC2 sprawl, idle RDS, oversized EKS, unattached EBS, every team adds, nobody removes.

02, STALE COMMITMENTS

We bought Reserved Instances 18 months ago and don't know if they're still right.

RI/Savings Plan portfolios decay. Compute Optimizer and Cost Explorer show waste, but nobody owns acting on the recommendations.

03, OWNERSHIP GAP

Our engineering team treats cloud cost as accounting's problem, not theirs.

Without per-team cost visibility and showback, engineers optimize for dev velocity not bill efficiency. FinOps culture is the long-term fix.

What You'll Get

Three streams of savings, quick wins, deep optimization, lasting culture.

Stream A · Audit

Cost Audit

Compute Optimizer + Cost Explorer deep review
RI / Savings Plan portfolio analysis
Idle resource hunt (EBS, EIP, NAT, RDS, ALB)
EKS/ECS rightsizing
Graviton/Spot opportunity assessment

Stream B · Quick Wins

Quick Wins (First 30 Days)

Idle resource cleanup
Right-size top 20 EC2 instances
Re-balance RI/Savings Plan portfolio
S3 Intelligent-Tiering migration
CloudWatch log retention rules
VPC NAT Gateway consolidation

Stream C · FinOps Culture

Lasting FinOps Culture

Per-team cost allocation tags
Cost Anomaly Detection setup
Weekly cost dashboards (Grafana / QuickSight)
Engineering team showback reports
Budget alarms + approval workflows
Quarterly cost review cadence

Mini Case Study

Case study: How a growth-stage SaaS cut their AWS bill $18k/month in 90 days

A B2B SaaS company (London-headquartered, EU customers) with monthly AWS spend of $47k had grown 4× in 18 months. Their CFO flagged that AWS as % of revenue was climbing despite usage efficiency improvements. The CTO needed savings without slowing the engineering team.

Our 2-week audit identified $18k/month of waste across three buckets: idle resources ($4.1k), RI/Savings Plan rebalancing ($6.5k), and rightsizing across EKS and RDS ($7.2k). We also flagged that 40% of their EC2 fleet was Graviton-eligible.

Implementation took 8 weeks. We delivered the $18k/month reduction by week 6, then spent the remaining time on FinOps culture: per-team cost allocation, weekly Grafana dashboards, and Cost Anomaly Detection. The company now maintains a structured monthly cost-review meeting between engineering and finance.

We expected to save 15-20%. We saved 38%, with no reliability impact. The dashboards alone changed how our engineers think about deployments.— CTO · UK B2B SaaS (anonymized)

Outcomes

Monthly bill reduction−$18k

Annualized savings$214k

Engagement duration10 wks

ROI on fee8.4×

Reliability impact0

Read the full case study

Engagement Options

Pay after savings are validated.

Most engagements start with the audit. Implementation pricing is fixed-fee or aligned to validated savings, your choice.

Stage 01

AWS Cost Audit

Full Compute Optimizer + Cost Explorer review
RI / Savings Plan portfolio analysis
Idle resource inventory
Prioritized savings roadmap (by $/month)
Read-only AWS access, no changes

Start with audit →

Stage 02

Cost Optimization Implementation

Quick wins implementation (30 days)
RI/Savings Plan re-balancing
Right-sizing across EC2, RDS, EKS
Graviton/Spot migration where viable
FinOps culture setup (tags, dashboards, alerts)
Quarterly review option

Book scoping call →

FAQ

Cost questions CTOs and CFOs ask first.

Reserved Instances vs Savings Plans? Graviton viability? Without breaking SLAs? Book a call and we'll walk through your specific bill.

Book Free Cost Audit →

Reserved Instances vs Savings Plans, which fits our usage pattern?+

Compute Savings Plans give you the most flexibility, they apply across instance families and even regions. Standard RIs offer the deepest discounts but lock you into specific configurations. For most growing SaaS workloads, a portfolio of 70% Compute Savings Plans + 20% Standard RIs (for stable baseline) + 10% on-demand works well. We model this against your actual usage curve, not generic recommendations.

How do we handle cost optimization without breaking SLAs?+

Every change goes through a controlled rollout: dev → staging → small production canary → full production. We never reduce backups, RDS multi-AZ, log retention, or DR capacity to save money. Our typical engagement has zero reliability regressions because we treat 'no breakage' as a hard constraint, not a hope.

What's a realistic timeline to see savings hit our bill?+

Quick wins (idle resource cleanup, basic right-sizing) typically show on the bill within 2-3 weeks. RI/Savings Plan rebalancing kicks in immediately for new commitments but old commitments run their term. Larger architectural changes (Graviton, Spot, EKS rightsizing) typically take 6-10 weeks to fully reflect.

Do you charge a percentage of savings or fixed fee?+

Both options. Fixed fee is more common for confidence, you know the cost upfront and we both know the deliverable. Percentage of validated savings (typically 20% of year-1 savings) is appealing for teams that want zero risk on the engagement spend. We let you choose during scoping.

What about Graviton migration, is it worth it?+

Graviton (ARM-based EC2) typically delivers 20-40% cost reduction with equivalent or better performance for most workloads. Most modern languages (Go, Java, Python, Node.js, .NET) run natively. The work is in CI/CD pipeline updates and dependency verification. We assess your fleet for Graviton eligibility during the audit and migrate the high-confidence candidates first.

How do we keep cost optimization sustainable post-engagement?+

Three things: (1) Per-team cost allocation tags so engineers see their costs; (2) Cost Anomaly Detection so unusual spend is caught within 24h; (3) A monthly cost review meeting between finance and engineering, with a documented agenda we provide. The behaviors are more important than the tools.

Jobin Joseph

Founder & CTO

AWS SA ProDevOps ProSecurity+2

Verify on Credly ↗

Who You'll Actually Work With

This engagement runs through me, personally.

The AWS-certified specialist on your discovery call leads the implementation team on your engagement. No bait-and-switch. No junior-led delivery.

Discovery call: I attend, no exceptions

Architecture sign-off: before any work begins

Weekly review: I'm on every call, every week

Material decisions: go through me first

Deliverable sign-off: my signature, my reputation

30 days post-handoff: direct line to me

FINOPS

Ready to cut your AWS bill?

30 minutes with our founder. One specific saving identified.

Share read-only access to your AWS account before the call. We'll spend 30 minutes walking through your Cost Explorer and identify at least one specific optimization worth $X/month, yours to keep whether you engage us or not.