FinOps & GreenOps
FinOps & GreenOps in Cloud Operations. We implement FinOps and GreenOps approaches to make cloud costs transparent, optimize resources in a targeted manner, and manage operations in a cost-effective and sustainable way. In doing so, we collaborate across finance, IT, and business teams and integrate FinOps into the day-to-day operations of cloud environments. GreenOps complements this approach by optimizing energy consumption and CO₂ emissions in the cloud. We work on Azure, AWS, GCP, and OCI, as well as on data and AI platforms such as Databricks, Microsoft Fabric, Snowflake, and MongoDB Atlas.
Benefits
- Transparent Management of Cloud Costs and Resources
- Structured FinOps operations across all cloud platforms
- Optimization of costs, utilization, and efficiency
- Integration of finance, IT, and business teams
- Measurable reduction in cloud costs and emissions
- Support for public, private, and hybrid clouds
Services
FinOps Assessment & Strategy
We analyze cloud usage, cost structures, and maturity levels, and define specific optimization steps.
- Analysis of cloud spending (Azure, AWS, GCP, OCI)
- Identification of cost drivers and optimization opportunities
- Assessment of all FinOps domains
- Definition of KPIs, target values, and a roadmap
- Forecasting and benchmarking
FinOps Consulting
We establish FinOps structures within organizations and embed them into day-to-day operations.
- Implementation of the FinOps framework
- Development of tagging and cost models (showback/chargeback)
- Empowerment of finance, IT, and business teams
- Development of governance and management models
- Architecture and cost optimization
GreenOps
We analyze and optimize the carbon footprint of cloud environments.
- Analysis of energy consumption and emissions
- Optimization of cloud regions and resources
- Optimization of workload utilization and scheduling
- Architecture and operational optimization
- Integration of sustainability goals into cloud operations

Supported Platforms
We work on leading public, private, and hybrid cloud platforms:
Microsoft Azure · Amazon Web Services (AWS) · Google Cloud Platform (GCP) · Oracle Cloud Infrastructure (OCI)
In addition, we work on data and AI platforms:
Azure Databricks · Microsoft Fabric · Snowflake · MongoDB Atlas