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Cutting AWS Costs Without Cutting Performance.

From runaway cloud bills to spend that tracks demand. Logiciel partnered with a fast-growing home services software company to re-architect its AWS footprint around Spot capacity, Auto Scaling and commitment-based pricing, moving 70% of production and 100% of non-production compute to Spot without compromising performance or availability.

Built to scale with demand. Engineered for lasting savings.

Build with Us See the Impact
70%
Production Compute on Spot
100%
Non-Production on Spot
9
AWS Services in the Cost Framework
2
DevOps Engineers, End to End
Client profile

Who we built it for.

Company
Leap CRM
Industry
Home Services / SaaS
Trigger event

AWS spend was growing faster than the business, driven by On-Demand compute, static capacity and uncommitted database usage.

The challenge

What stood in the way.

Cloud spending had drifted away from actual usage:

01

On-Demand Everywhere

Production and development ran almost entirely on full-price EC2 instances.

02

Static, Idle Capacity

Fixed provisioning left resources underused during low-traffic periods.

03

Rising Database Spend

RDS costs grew with no long-term commitment strategy in place.

04

No Cost Governance

Spend wasn't tied to real utilization, hurting budget predictability.

Why they chose Logiciel

A partner proven at scale.

01

Hands-on AWS DevOps expertise across compute, data and cost tooling.

02

A resilience-first approach that protects availability before cutting cost.

03

Commitment planning driven by real usage history.

04

Ongoing optimization, not a one-time audit.

The solution

How we built it.

Layer 01
Smarter Compute
70% Spot / 30% On-Demand mix in production.100% of dev and test workloads on Spot.EC2 Auto Scaling driven by CloudWatch metrics.
Layer 02
Commitment-Based Savings
RDS Reserved Instances for steady database workloads.Compute Savings Plans for predictable EC2 usage.Purchases sized from historical usage data.
Layer 03
Continuous Cost Governance
Cost Explorer and AWS Budgets visibility.CloudWatch utilization monitoring.Regular optimization reviews for new workloads.
Results & impact

What shipping it actually changed.

Lower Compute Spend

70% of production and 100% of non-production compute moved to discounted Spot capacity, with a 30% On-Demand baseline keeping production stable through Spot interruptions.

Capacity That Matches Demand

Auto Scaling now adds instances during traffic spikes and removes them in quiet periods, so the business pays only for the capacity it actually uses.

Predictable, Governed Budgets

Reserved Instances and Savings Plans lock in discounts on steady workloads, while Cost Explorer, Budgets and regular reviews keep new spend in check as the platform grows.

Strategic partnership

More than a project.

01

Embedded Team

A two-person Logiciel DevOps team worked alongside the client's engineers without disrupting releases.

02

Trusted Delivery

Every saving was weighed against performance and availability before it went live.

03

Built for the Long Term

A governance framework that keeps savings in place as infrastructure grows.

Why it matters for tech leaders

A blueprint for scaling without chaos.

Proves cloud costs can fall without trading away availability.
Shows how Spot, On-Demand and commitment pricing combine for the best result.
Demonstrates that non-production environments are often the fastest savings win.
Validates cost optimization as an ongoing practice, not a one-time project.
Build to last

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