Cloud Cost Diagnostic and Baseline
Detailed assessment of cloud spend, usage, tagging and architectural cost drivers across AWS, Azure and Google Cloud.
Bring enterprise cloud spend back under control without slowing engineering down.
Logiciel runs cloud cost optimization for large enterprises across AWS, Azure and Google Cloud. FinOps, tagging, rightsizing, commitments, Kubernetes cost control and finance-grade reporting, delivered as a programme rather than a one-off cleanup. We work alongside CFO, FinOps, cloud and platform teams to rebuild the cost operating model around your business so the savings hold.
Most enterprises do not have a cost problem. They have an ownership and visibility problem at scale.
We give large organisations a cost operating model their business units can run.
We cover the cost levers that matter at enterprise scale.
Multi-Cloud Cost Visibility and Allocation
Tagging strategy, cost categories and dashboards that map spend to teams, services and customers across AWS, Azure and Google Cloud.
Compute Rightsizing at Scale
Rightsizing for EC2, EKS, AKS, GKE, Lambda, App Service and equivalent compute services across the enterprise.
Storage and Data Optimisation
Storage lifecycle policies, intelligent tiering, EBS, Azure Disk and Persistent Disk cleanup and tuning.
Database Cost Optimisation
RDS, Aurora, DynamoDB, Cosmos DB, Cloud SQL, Spanner and equivalent database tuning, commitments and auto-pause patterns.
Commitment Strategy Across Clouds
Commitment modelling across savings plans, reserved instances, Azure Reservations and Google Cloud Committed Use Discounts, with renewal cadence.
Kubernetes Cost at Enterprise Scale
Cost allocation, per-namespace chargeback, autoscaling tuning and Spot strategies across EKS, AKS and GKE.
AI Workload Cost Governance
Cost controls for analytics, ML training, inference and generative AI workloads across Bedrock, OpenAI, Vertex AI and SageMaker.
Enterprise FinOps Operating Model
Roles, cadences, KPIs and reports for an enterprise FinOps practice that runs across business units.
Dedicated FinOps Engineering Squad
A standing team of FinOps engineers and cloud engineers embedded in your central FinOps function.
FinOps Advisory and Staff Augmentation
Senior FinOps consultants who reinforce your enterprise FinOps function.
Outcome-Based Cost Reduction Engagements
Fixed-scope engagements with a defined savings target and timeline, measured against a baseline agreed up front.
Detailed assessment of cloud spend, usage, tagging and architectural cost drivers across AWS, Azure and Google Cloud.
Tagging strategy, cost categories and chargeback or showback reporting across the enterprise.
Rightsizing for compute and storage across AWS, Azure and Google Cloud workloads.
Database tuning, commitments and auto-pause patterns across managed databases.
Commitment modelling, purchase recommendations, renewal monitoring and break-even tracking.
Cost allocation, per-namespace chargeback, autoscaling tuning and Spot strategies across EKS, AKS and GKE.
Cost controls for analytics, ML training, inference and generative AI workloads.
Roles, cadences, KPIs and reports for an enterprise FinOps practice.
Patterns from our FinOps engineers that have run through real enterprise estates.
A reference operating model for FinOps across business units, finance and engineering on AWS, Azure and Google Cloud.
A practical pattern for governing cost of analytics, ML training, inference and generative AI workloads at enterprise scale.
1. Cost Diagnostic and Baseline
We pull billing, usage, tagging and architectural data, then produce a single baseline that everyone agrees with.
2. Quick Wins
We execute safe, fast moves first. Untagged spend, idle resources, lifecycle policies and obvious oversizing.
3. Structural Optimisation
We work through architecture-level savings including replatforming, auto-scaling, Spot adoption and storage redesign.
4. Commitment and AI Cost Strategy
We model and apply commitments across clouds and put AI workload cost governance in place.
5. Enterprise FinOps Operating Model
We hand over a working enterprise FinOps practice, including roles, dashboards, reviews and KPIs.
Ready to bring Cloud Cost Optimization Services for Enterprise under control without slowing engineering down? Partner with Logiciel to design, build and operate Cloud Cost Optimization Services for Enterprise that engineering, security and business teams can all defend.
We cover strategy, architecture, build, deployment and operations for Cloud Cost Optimization Services for Enterprise, 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.