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.
Bring mid-market cloud spend back under control without enterprise overhead.
Logiciel runs cloud FinOps consulting for mid-market companies. AWS, Azure and Google Cloud, with tagging, allocation, rightsizing, commitments and Kubernetes cost work, sized for a mid-market business. We work alongside finance, engineering and platform teams to put a practical FinOps practice in place that finance and engineering can both run.
Mid-market businesses run into the same patterns as enterprises, just earlier.
We give mid-market companies a FinOps practice that fits the team and the budget.
A clean tagging and allocation baseline across AWS, Azure and Google Cloud.
Rightsizing recommendations validated against real performance data.
A commitment strategy across savings plans, reserved instances and equivalent commitments on Azure and Google Cloud.
Kubernetes and AI workload cost reporting that maps to teams, products and use cases.
Reports finance, engineering and product can all use.
A documented FinOps practice that internal teams can run.
We cover the FinOps levers that recur for mid-market businesses.
Tagging strategy, cost categories and dashboards that map spend to teams, services and customers across AWS, Azure and Google Cloud.
Rightsizing for EC2, EKS, AKS, GKE, Lambda, App Service and equivalent compute services.
Storage lifecycle policies, intelligent tiering, EBS, Azure Disk and Persistent Disk cleanup and tuning.
RDS, Aurora, DynamoDB, Cosmos DB, Cloud SQL and equivalent database tuning, commitments and auto-pause patterns.
Commitment modelling across savings plans, reserved instances, Azure Reservations and Google Cloud Committed Use Discounts.
Per-namespace allocation, autoscaling tuning, Spot and preemptible strategies and chargeback for mid-market Kubernetes workloads.
Cost controls for analytics, ML training, inference and generative AI workloads.
Roles, cadences, KPIs and reports for a FinOps practice sized for a mid-market business.
A long-running team of FinOps engineers and cloud engineers embedded in your finance or platform function.
Senior FinOps consultants who reinforce your in-house team during specific phases.
Fixed-scope engagements with a defined savings target and timeline, measured against a baseline you agree 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.
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.
Per-namespace allocation, autoscaling tuning, Spot and preemptible strategies and chargeback.
Cost controls for analytics, ML training, inference and generative AI workloads.
Roles, cadences, KPIs and reports for a FinOps practice sized for a mid-market business.
Patterns from our FinOps engineers that have run through real mid-market deployments.
Mid-Market FinOps Operating Model
A reference operating model for FinOps sized for mid-market team and pace.
Mid-Market Kubernetes and AI Cost Pattern
A practical pattern for Kubernetes and AI workload cost allocation in mid-market environments.
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 Strategy
We model and apply commitments across clouds, with a renewal cadence.
5. FinOps Operating Model
We hand over a working FinOps practice, including roles, dashboards, reviews and KPIs.
Ready to bring FinOps Consulting for Cloud for Mid-Market under control without slowing engineering down? Partner with Logiciel to design, build and operate FinOps Consulting for Cloud for Mid-Market that engineering, security and business teams can all defend.
We cover strategy, architecture, build, deployment and operations for FinOps Consulting for Cloud for Mid-Market, 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.