FinOps and cloud cost optimisation services
FinOps and cloud cost optimisation services for AWS, Azure and Google Cloud: cost visibility and allocation, rightsizing and waste removal, commitment planning for savings plans and reservations, tagging and budgets, Kubernetes, data and AI cost control, and unit economics, with dedicated FinOps engineers for your team or a cost optimisation project.
FinOps services we provide
Cost visibility and allocation
Billing data from AWS Data Exports, Microsoft Cost Management and the Google Cloud billing export to BigQuery brought into one view in the FOCUS format, with every cost allocated to a team, product or customer, shared costs included.
Rightsizing and waste removal
Idle instances, unattached disks, old snapshots, oversized databases and forgotten environments found and removed, and instances moved to the size and generation the measured load needs, starting from AWS Cost Optimization Hub, Azure Advisor and Google Cloud Recommender.
Commitment planning
Savings Plans and Reserved Instances on AWS, Azure savings plans and reservations, and Google Cloud committed use discounts bought against the steady part of usage, with coverage and utilisation reviewed every month.
Tagging policy and cost governance
A tagging standard enforced in Terraform modules and cloud policy and checked in the pipeline, budgets per account and team, and a named owner for every line of spend who receives their own report.
Forecasts and anomaly alerts
Monthly forecasts per team, budget alerts at agreed thresholds, and anomaly detection from AWS Cost Anomaly Detection, Microsoft Cost Management or your FinOps platform, routed to the team that owns the spend.
Kubernetes cost allocation
The cost of each namespace, workload and team measured with OpenCost or IBM Kubecost, then requests, limits, node types and Spot capacity tuned so clusters stop paying for idle headroom.
Cost checks in pull requests
Infracost comments on every infrastructure change with what it adds to the monthly bill, and policies that flag an expensive change for approval before it is merged.
Data and AI platform spend
Snowflake, Databricks and BigQuery spend broken down by warehouse, job and query, GPU instances scheduled rather than left running, and model API tokens tracked per feature, with caching and batching wherever the quality holds.
Unit economics and showback
Cost per customer, transaction or tenant reported beside revenue, showback or chargeback to each business unit, and a monthly review where engineering, finance and product agree the next savings.
Hire FinOps engineers
Dedicated FinOps engineers
FinOps engineers who join your team full time, work in your tools and process, and report to your lead. You interview them; we carry the Ukrainian contract, payroll, invoicing and leave.
FinOps projects
A defined piece of FinOps with a scope, a fixed plan and a named lead on our side who owns the result and reports progress in your channels.
Ongoing FinOps
FinOps as a continuing service: the same people every month, a backlog you prioritise, and hours you can see in our portal and on the invoice.
The dedicated team page explains how specialists join your team, and the outsourcing page covers project delivery, take-overs and how we charge.
Who works on your FinOps
FinOps engineers
Cost data, allocation, optimisation and reporting
Cloud engineers
Rightsizing and commitments applied as code
Kubernetes engineers
Cluster cost allocation and autoscaling
Data analysts and BI developers
Cost dashboards in Power BI or Grafana
How we run FinOps
Visibility comes before cuts: spend is allocated to an owner first, because a saving nobody owns tends to come back. Savings are then taken in order of value and risk, from deleting what is idle to buying commitments, and every infrastructure change is made in Terraform or the provider’s templates so it stays made.
Engineering, finance and product review the same numbers every month, following the FinOps Framework from the FinOps Foundation. Access starts read-only, through billing roles you create and can revoke, and each recommendation comes with its expected saving, its risk and the team that has to act.
Other cloud, DevOps and security services
AWS development
AWS development services: EKS and ECS containers, serverless, landing zones, migrations, databases, data platforms, Bedrock generative AI, security and cost optimisation, with dedicated AWS engineers or project delivery.
Google Cloud development
Google Cloud development services: Cloud Run and GKE, BigQuery, Firebase backends, Cloud SQL and AlloyDB, Gemini on Agent Platform, security and migrations, with dedicated Google Cloud engineers or project delivery.
Kubernetes consulting
Kubernetes consulting and development: clusters on EKS, AKS, GKE and on premises, Helm, GitOps with Argo CD or Flux, cluster security, upgrades and GPU workloads, with dedicated Kubernetes engineers or project delivery.
DevOps and CI/CD
DevOps and CI/CD services: pipelines, Terraform infrastructure as code, observability, SRE and on-call, DevSecOps, platform engineering and FinOps, with dedicated DevOps and SRE engineers or ongoing DevOps work.
Cybersecurity and pentesting
Cybersecurity and penetration testing services: web, mobile, API, network and cloud pentests, secure code review, SOC and incident response, ISO 27001 and SOC 2, with dedicated security engineers or defined projects.
IT infrastructure
IT infrastructure and system administration services: Windows and Linux servers, networks, Microsoft 365 and Entra ID, virtualisation, backups and telecom, with dedicated system administrators or ongoing support.
Site reliability engineering
Site reliability engineering services: SLOs, OpenTelemetry observability, on-call and incident management, load testing, disaster recovery and chaos engineering, with dedicated SRE engineers or project delivery.
Platform engineering
Platform engineering services: internal developer platforms, Backstage portals, golden paths and templates, self-service infrastructure and Kubernetes platforms, with dedicated platform engineers or project delivery.
Cloud architecture
Cloud architecture and consulting services: designs for AWS, Azure and Google Cloud, migration plans, landing zones, Well-Architected reviews, resilience and cost, with dedicated cloud architects or project delivery.
Terraform and IaC
Terraform and infrastructure as code services: Terraform and OpenTofu modules, imports, plan and apply pipelines, drift control, policy as code and Ansible, with dedicated Terraform engineers or project delivery.
Linux administration
Linux administration services: Ubuntu, Debian, RHEL, Rocky Linux and AlmaLinux servers set up, patched, hardened, monitored and backed up, and end-of-life upgrades, with dedicated Linux administrators or ongoing support.
Network engineering
Network engineering services: routing and switching, firewalls, SD-WAN and zero-trust access, cloud networking, Wi-Fi and automation on Cisco, Juniper and Fortinet, with dedicated network engineers or project delivery.
Cloud security
Cloud security services: CSPM and CNAPP, IAM reviews, Kubernetes security, network and data protection and cloud compliance on AWS, Azure and Google Cloud, with dedicated cloud security engineers or project delivery.
SOC and security monitoring
SOC as a service and security monitoring: managed SOC, SIEM deployment, log onboarding, detection engineering, EDR, threat hunting and incident response retainers, with dedicated SOC analysts or ongoing monitoring.
Security compliance
Security compliance and audit readiness: ISO 27001, SOC 2, GDPR, PCI DSS, HIPAA, NIS2 and DORA controls, gap assessments and audit evidence, with dedicated compliance engineers or a readiness project.
Questions about FinOps and cloud cost optimisation
Which industries do your FinOps engineers work in?
Mostly SaaS companies, where cost per customer decides margins; fintech and banking, with large estates and audited budgets; e-commerce and retail, whose spend rises and falls with sales peaks; AI and data products, where GPUs, model APIs and warehouses grow fastest; cloud, hosting and telecom providers pricing their own services; and advertising and marketing technology companies processing large volumes of event data.
How much can we save?
It depends on the estate, so no figure is promised before we have seen the bill. A first review of your billing data lists each saving with its estimated monthly value and the effort to take it, so you can decide what is worth doing before larger work starts.
Which FinOps tools do you work with?
The providers’ own tools first: AWS Cost Explorer, Cost Optimization Hub and Compute Optimizer, Microsoft Cost Management and Azure Advisor, and Google Cloud billing reports and Recommender. Then OpenCost or IBM Kubecost for Kubernetes, Infracost for pull requests, and the FinOps platform you already use, such as IBM Cloudability.
How quickly can FinOps engineers start?
When the right FinOps engineer is available, the start is gated only by your interview and the NDA and IP assignment. Otherwise we run a search, which typically produces candidate profiles within two to three weeks, and nobody starts until you have said yes.
How do we hire FinOps engineers through BigTree108?
Tell us the work, the seniority and the hours you need. We propose one or two people with their profiles, you interview them the way you would interview your own hire, and you sign one agreement with BIG TREE 108 LLC and receive one invoice a month.
Who owns the work they produce?
You do. Every specialist has a signed contract with BigTree108 that assigns all work product to the company, and our agreement with you assigns it onward. Code, designs and documents are delivered into your own repositories and tools, not kept where only we can change them.
Want to know where your cloud spend goes?
Tell us which clouds you use and roughly what you spend each month. You get an answer within one business day: a scope for a cost review, a plan, or candidate profiles.