LS LOGICIEL SOLUTIONS
Toggle navigation

AWS Cost Optimization Services

Pay AWS for what your business actually uses.

Logiciel helps enterprises bring AWS spend under control with practical FinOps engineering. Tagging, allocation, rightsizing, commitments and Kubernetes cost work, all delivered with reports that finance can read.

See Logiciel in Action

Why AWS Bills Keep Growing Faster Than the Business

Most enterprises do not have a cost problem. They have a visibility and ownership problem.

  • Engineers spin up resources without a clear cost owner.
  • Tagging is inconsistent across accounts, so allocation reports are wrong.
  • Commitments expire without a renewal plan.
  • Kubernetes and data workloads grow quietly and dominate the bill.
  • Finance and engineering use different numbers for the same workload.
  • Cost reviews happen once a quarter, when the spike has already landed.

What You Get When You Work With Logiciel on AWS Costs

We build a cost operating model your teams can run on their own.

A clean tagging and allocation baseline across all AWS accounts.

Rightsizing recommendations validated against real performance data.

A commitment strategy for savings plans and reserved instances based on actual usage patterns.

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

Weekly and monthly reports that finance, engineering and product all trust.

A documented FinOps practice that survives team changes.

AWS Cost Optimisation Solutions Built for Enterprise Workloads

We cover the full range of AWS cost levers. None of them work on their own.

Cost Visibility and Allocation

Tagging strategy, AWS Cost Allocation Tags, Cost Categories and dashboards that map spend to teams, services and customers.

Compute Rightsizing

EC2, EKS, ECS, Lambda and Fargate rightsizing based on Compute Optimizer, CloudWatch metrics and real workload behaviour.

Storage Optimisation

S3 lifecycle policies, intelligent tiering, EBS volume cleanup, snapshot policies and FSx and EFS tuning.

Database Cost Optimisation

RDS, Aurora, DynamoDB and Redshift cost tuning, including instance classes, reserved capacity and auto-pause patterns.

Savings Plans and Reserved Instances

Commitment modelling across compute, SageMaker and other services, with a renewal cadence and break-even monitoring.

Kubernetes Cost Optimisation

EKS cost allocation with Kubecost or OpenCost, node group rightsizing, Karpenter and Spot strategies, and per-namespace chargeback.

Engagement Models Designed for AWS Cost Optimization Services Delivery

Dedicated FinOps Engineering Squad

A standing team of AWS engineers and FinOps specialists embedded in your delivery model.

FinOps Advisory and Staff Augmentation

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

Outcome-Based AWS Cost Reduction

Fixed-scope engagements with a defined savings target and timeline, measured against a baseline you agree up front.

AWS Cost Optimisation Services We Deliver

AWS Cost Diagnostic and Baseline

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

AWS Tagging and Allocation

Tagging strategy, AWS Cost Categories, account structure review and chargeback or showback reporting.

AWS Rightsizing and Auto-Scaling

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

Savings Plans and Reserved Instance Strategy

Commitment modelling, purchase recommendations, renewal monitoring and break-even tracking.

Kubernetes Cost Optimisation on AWS

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

AWS Data and AI Cost Governance

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

AWS Cost Optimization Services Insights & Frameworks

Patterns from our FinOps engineers that have run through real enterprise estates.

Enterprise AWS FinOps Operating Model

How we structure roles, reviews and reporting between engineering, finance and product.

Kubernetes and AI Cost Allocation Framework

A practical approach to allocating shared infrastructure costs to teams and products in EKS and SageMaker environments.

Our AWS Cost Optimization Services Framework

Cost Diagnostic and Baseline

We pull billing, usage, tagging and architectural data, then produce a single baseline that everyone agrees with.

Quick Wins

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

Structural Optimisation

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

Commitment Strategy

We model and apply savings plans and reserved instances against forecast usage, with a renewal cadence.

FinOps Operating Model

We hand over a working FinOps practice, including roles, dashboards, reviews and KPIs.

Accelerate AWS Cost Optimization Services

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

Frequently Asked Questions

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

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

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

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

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

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

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

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