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AI-first engineering

AWS Cost Optimization Services for Energy.

Logiciel runs AWS cost optimization for energy operators, utilities, renewables and oil and gas. Tagging, allocation, rightsizing, commitments, Kubernetes cost and AI workload cost, mapped to regulated cost categories and business units. We work alongside finance, cloud and operations teams to rebuild the AWS cost operating model around the regulatory shape of the business.

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See Logiciel in action.

Tell us what you're building and we'll take it from there.

8 services
Energy AWS cost optimisation services
5 steps
Cost optimisation framework
3 models
Engagement models to deliver the work
Why Logiciel

Why AWS Bills Grow Faster Than Energy Operations Need Them To.

Why Logiciel · 01

Workloads were lifted from on-prem without rightsizing.

Why Logiciel · 02

Each business unit runs its own informal FinOps practice.

Why Logiciel · 03

Operational workloads carry redundancy that exceeds what AWS already provides.

Why Logiciel · 04

Kubernetes and data workloads grow quickly with no per-team allocation.

Why Logiciel · 05

AI and analytics workloads grow without model selection or commitments.

Why Logiciel · 06

Cost reports do not align with regulated cost categories.

What you get

What You Get When You Work With Logiciel on AWS Cost for Energy.

01

A clean tagging and allocation baseline across AWS accounts, mapped to regulated cost categories and business units.

02

Rightsizing recommendations validated against real performance data.

03

A commitment strategy for savings plans and reserved instances tied to forecast usage.

04

Kubernetes cost reporting that maps to teams, products and tenants.

05

AI workload cost reporting tied to use cases, business units and model selection.

06

A documented FinOps practice that finance, cloud and operations teams can run.

Pricing

Energy AWS Cost Optimisation Solutions Built for Production.

01

Cost Visibility and Allocation for Regulated Utilities

What it meansTagging strategy, AWS Cost Allocation Tags, Cost Categories and dashboards mapped to regulated cost categories.
02

Compute Rightsizing for Energy Workloads

What it meansEC2, EKS, ECS, Lambda and Fargate rightsizing based on Compute Optimizer, CloudWatch metrics and real workload behaviour.
03

Storage Optimisation for Energy Data

What it meansS3 lifecycle policies, intelligent tiering, EBS volume cleanup and tuning for historian and sensor data archives.
04

Database Cost Optimisation for Energy

What it meansRDS, Aurora, DynamoDB, Redshift and equivalent database tuning, commitments and auto-pause patterns.
05

Savings Plans and Reserved Instances for Energy

What it meansCommitment modelling across compute, SageMaker and other services with renewal cadence and break-even monitoring.
06

Kubernetes Cost Optimisation for Energy

What it meansEKS cost allocation, per-namespace chargeback, Karpenter and Spot strategies for trading, customer-facing and operational workloads.
07

AI Workload Cost Governance for Energy

What it meansCost controls for analytics, ML training, inference and generative AI workloads, including Bedrock and SageMaker.
Engagement

Engagement Models Designed for AWS Cost Optimization Services for Energy Delivery.

01

Dedicated FinOps Engineering Squad

A standing team of AWS engineers and FinOps specialists embedded in your finance or cloud function.

Engagement
02

FinOps Advisory and Staff Augmentation

Senior AWS cost optimization consultants who reinforce your internal FinOps function.

Engagement
03

Outcome-Based AWS Cost Reduction Engagements

Fixed-scope engagements with a defined savings target and timeline, measured against an agreed baseline.

Engagement
Under the hood

Energy AWS Cost Optimisation Services We Deliver.

AWS Cost Diagnostic for Energy

Detailed assessment of AWS spend, usage, tagging and architectural cost drivers.

AWS Tagging and Allocation for Energy

Tagging strategy, Cost Categories and chargeback or showback reporting mapped to regulated cost categories.

AWS Rightsizing and Auto-Scaling for Energy Workloads

EC2, EKS, ECS, Lambda and RDS rightsizing with auto-scaling and Spot adoption.

Savings Plans and Reserved Instance Strategy

Commitment modelling, purchase recommendations and renewal monitoring.

Kubernetes Cost Optimisation on AWS for Energy

EKS cost allocation, Karpenter and Cluster Autoscaler tuning, Spot strategies and per-team reporting.

AI Workload Cost Governance on AWS for Energy

Cost controls for analytics, ML training, inference and generative AI workloads on Bedrock and SageMaker.

Energy FinOps Operating Model

Roles, cadences, KPIs and reports for a FinOps practice mapped to regulated cost categories.

Managed FinOps for Energy

Ongoing FinOps as a managed service with commitment management, monthly reviews and continuous improvement.

Pricing

AWS Cost Optimization Services for Energy Insights & Frameworks.

We build MVPs as the foundation of your future product because time, money, investor trust, and momentum are on the line.

01

Energy AWS FinOps Operating Model

A reference operating model for AWS FinOps mapped to regulated cost categories.

↳ Pricing
02

Energy Kubernetes and AI Cost Pattern on AWS

A practical pattern for Kubernetes and AI workload cost allocation in energy environments on AWS.

↳ Pricing
Pricing

Our AWS Cost Optimization Services for Energy Framework.

01

Cost Diagnostic and Baseline

We pull billing, usage, tagging and architectural data, then produce a single baseline mapped to regulated cost categories.

02

Quick Wins

We execute safe, fast moves first. Untagged spend, idle resources, lifecycle policies and obvious oversizing.

03

Structural Optimisation

We work through architecture-level savings including replatforming, auto-scaling, Spot adoption and storage redesign.

04

Commitment Strategy

We model and apply savings plans and reserved instances against forecast usage.

05

Energy FinOps Operating Model

We hand over a working FinOps practice mapped to regulated cost categories and business units.

Questions

Frequently asked questions.

What does AWS Cost Optimization Services for Energy include?

We cover strategy, architecture, build, deployment and operations for AWS Cost Optimization Services for Energy, aligned with your business priorities and operating constraints.

How long does AWS Cost Optimization Services for Energy typically take?

Most engagements reach a working pilot within 4-8 weeks, while larger rollouts run across phased waves over several months.

Can Logiciel integrate AWS Cost Optimization Services for Energy with our existing systems?

Yes. We integrate with cloud platforms, CRMs, ERPs, EHR, OT systems, analytics tools and other operational infrastructure depending on the use case.

Do you offer fixed-cost engagements for AWS Cost Optimization Services for Energy?

Yes. We offer milestone-based pricing once scope, KPIs and delivery requirements are agreed.

Who owns the deliverables from a AWS Cost Optimization Services for Energy engagement?

You retain ownership of all workflows, integrations, prompts, infrastructure, systems and implementation assets.

How do you handle governance and compliance for AWS Cost Optimization Services for Energy?

We implement governance frameworks, observability, access controls, audit trails and compliance-aligned deployment practices.

How do you optimize cost for AWS Cost Optimization Services for Energy?

We tune infrastructure, automate resource management, optimise deployment workflows and report operational cost back to teams and product lines.

Do you support ongoing operations after launch for AWS Cost Optimization Services for Energy?

Yes. We run managed operations with SRE, observability, on-call and continuous improvement.

Let's build

Accelerate AWS Cost Optimization Services for Energy.

Ready to bring AWS Cost Optimization Services for Energy under control without slowing engineering down? Partner with Logiciel to design, build and operate AWS Cost Optimization Services for Energy that engineering, security and business teams can all defend.