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MANAGED SERVICES

Cloud costs and FinOps

We make spend visible by team and product, then assess resource sizing, unused capacity and purchasing options using measured consumption.

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On this page3 sections
  1. Scope of service
  2. Cost visibility and automation
  3. Tooling

Reducing a cloud bill has to account for the capacity an application needs, so we assess sizing and purchasing options against performance targets. For each recommendation we state which usage data it rests on and how it may affect performance.

Scope of service

  • Tagging discipline and showback or chargeback by team and environment
  • Idle resource detection: unattached disks, idle IPs, forgotten snapshots
  • Right-sizing and autoscaling
  • Commitment evaluation for Savings Plans and Reserved Instances
  • Kubernetes cost allocation by namespace and team
  • Storage tiering and data lifecycle policies
  • Spend anomaly alerts and budget thresholds
  • GPU utilization and idle time tracked for accelerated workloads

Cost visibility and automation

We make spend visible by team, service and environment through tagging policies and shared cost allocation rules. While preserving reliability and recovery targets, we automate scaling policies, non-production environment lifecycles and budget alerts, and size MIG-capable GPU workloads per slice rather than full cards.

Tooling

Inventory
Azure Resource Inventory (ARI)
Cloud cost management
Azure Cost ManagementAWS Cost Explorer
Kubernetes cost
OpenCostKubecost
GPU utilization
PrometheusGrafana
Infrastructure
TerraformPolicy-driven scaling
Reporting
Grafana dashboards

Let's talk.

We'll discuss your operational needs in a 30-minute call.

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Other managed services

Managed Microsoft Azure services
With our Microsoft Solutions Partner expertise, we run day-to-day operations, governance, security and cost optimization for your Azure Landing Zone, AKS and PaaS environments.
Platform engineering
We manage Kubernetes environments, deployment workflows and infrastructure configuration together. We automate repetitive operational work and clarify ownership.
SRE and reliability
We tie reliability targets to user experience. We agree SLOs with product and operations teams and use error budgets to discuss improvement priorities.
Incident management
We detect outages and performance issues early, contain impact through a structured response workflow, and resolve root causes permanently.