FinOps and GreenOps: Optimizing Cloud Cost and Carbon

The Future of Cost and Carbon Optimization in the Cloud with FinOps and GreenOps

7 mins read

AI adoption is picking up its speed across enterprises. To support this shift, businesses are scaling workloads, updating applications, and moving more of their operations to the cloud. At the same time, each of these choices affects cost and the environment.

This is where the two emerging practices, FinOps (Financial Operations) and GreenOps (Sustainable Operations), step in. They’re handled separately, but they are actually two sides of the same coin. When teams are smarter about how they use cloud resources, they save money, use less energy, and cut emissions, which helps in creating a win-win situation for businesses.

Bringing FinOps and GreenOps Together for Maximum Impact

FinOps and GreenOps cannot operate in isolation if organizations wish to manage cloud costs and sustainability in an impactful way. When these two practices come together, teams can make decisions that balance spending and environmental impact. This approach focuses on a few practical areas, such as:

  1. Eliminating Waste and Right-sizing Resources

    Consider a scenario in which an organization has oversized servers and unused storage volumes in its cloud environment, resulting in higher costs and increased emissions. When the team removes idle disks or right-sizes instances based on actual requirements, cloud spending and energy consumption are reduced instantly. This reduces the carbon footprint while optimizing costs.

  2. Getting Visibility Across Cloud Operations

    The FinOps team relies on visibility of cloud spending across teams, services, and applications. The GreenOps team depends on metrics such as carbon intensity, energy consumption, and resource efficiency.

    However, an interesting fact is that both teams rely on the same telemetry, like CPU usage, storage activity, network throughput, and scaling patterns. Cloud providers understand this overlap, which is why platforms like AWS present their Customer Carbon Footprint tool alongside cost-management dashboards. This enables organizations to identify cost and carbon impact instantly and take appropriate actions.

  3. Optimizing Cloud Resources for Cost and Carbon Efficiency

    Daily operational activities that reduce costs also boost sustainability, including:

    • Adjusting instance sizes reduces both cloud spending and energy usage.
    • Autoscaling enables organizations to pay only for what they use and ensures servers don’t run idle.
    • Turning off the non-production systems at night reduces costs and energy consumption.
    • Adopting efficient computing models, such as serverless platforms and containers, increases the energy efficiency for each transaction.
    • Organizing data into tiers ensures that infrequently accessed, or ‘cold data,’ is stored more economically on storage devices.
    • Selecting cloud regions powered by clean energy can further reduce the carbon footprint and offer long-term financial benefits.

    In cloud operations, every watt you save is a bill you don’t pay.

  4. Enabling Cross-Team Collaboration

    Many organizations still consider FinOps teams across finance and engineering, and sustainability teams across ESG (Environmental, Social, and Governance) operations as separate entities. However, mature organizations bring these cross-functional groups together to unlock great benefits. They use shared data to avoid conflicting priorities, enable engineers to view cost and carbon impact side by side on a single dashboard, and simplify governance through unified policies for tagging, budgeting, and setting carbon limits.

    FinOps develops a culture of collaboration and measurement, and GreenOps builds naturally on this foundation to extend these practices to sustainability outcomes.

The Evolving Role of IT Service Providers

IT service providers play an important role in helping organizations bring FinOps and GreenOps together across teams, systems, and cloud platforms. This typically focuses on a few core areas:

  1. Building Integrated, Intelligent Frameworks

    Currently, organizations require service providers to implement governance that merges cost and performance with sustainability. They must design composable architectures that embed FinOps and GreenOps from day one, using AI-driven automation, predictive analytics, and continuous governance. This ensures that cost and carbon optimization become part of ongoing, automated guardrails rather than a periodic activity.

  2. Delivering Value Beyond Savings

    When FinOps converges with GreenOps to form a unified practice, it unlocks new value streams, including:

    • Integrated sustainability dashboards
    • Improved governance with unified reports
    • Carbon-based workload allocation
    • Carbon intensity-based consulting services for choosing the most appropriate cloud regions

    These benefits create a foundation for sustainable growth while complying with regulations and achieving performance goals.

What Does the Future of FinOps and GreenOps Look Like?

Over the next decade, FinOps and GreenOps together are expected to become one approach. Instead of treating cost and sustainability as separate concerns, teams will manage them side by side. This way, cloud environments can be scaled in a smarter way by balancing spending, performance, and carbon impact as part of everyday operations. AI-driven observability, enterprise digital twins, and autonomous governance together will drive this change.

Conclusion

FinOps and GreenOps are practical ways teams use to keep cloud costs under control, stay flexible as things change, and do their part for the environment while still focusing on what the business needs to achieve. IT service providers must integrate these disciplines into managed services and governance frameworks to help clients achieve greater financial efficiency, a reduced carbon footprint, and a stronger foundation for sustainable digital growth.

TAGS: Sustainability Cloud and Infrastructure Services Artificial Intelligence Data Analytics Consulting and Management Services
About the Author
mahesh-wandkar
Mahesh Wandkar
Head, EA & Deal Origination– Large Deals, Strategic Solutions & Transformation, Tech Mahindra

Mahesh is a seasoned technology leader with over 25 years of experience driving innovation and growth. As the Function Head – Enterprise Architecture for Large Deals and Transformation at Tech Mahindra, he has led multi-million-dollar digital transformation initiatives, delivering multi-tower solutions and creating business value across industry verticals and service lines.

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Mahesh is a seasoned technology leader with over 25 years of experience driving innovation and growth. As the Function Head – Enterprise Architecture for Large Deals and Transformation at Tech Mahindra, he has led multi-million-dollar digital transformation initiatives, delivering multi-tower solutions and creating business value across industry verticals and service lines.

He has served as the chief architect for several large-scale telecom transformations—both greenfield and brownfield—impacting subscriber bases of over 100 million across Europe, Africa, the Middle East, and the Asia-Pacific region. Mahesh has also developed multiple IT platforms that are cloud-native, open-source, microservices-based, and leverage the power of Data, AI, GenAI, and Agentic AI. A passionate engineer at heart, he excels at solving complex challenges using cutting-edge technologies.

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