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What Is Cloud FinOps?

Originally Published September, 2025

By:

Jenna Wright

Senior FinOps Specialist

what is cloud finops

Cloud adoption has transformed how businesses operate, enabling real-time scaling and faster execution. But with this shift comes a growing challenge: the widening gap between finance teams responsible for budgets and engineering teams responsible for cloud usage. Both play critical roles, yet the speed and complexity of the cloud make it difficult for them to stay aligned.

The need for a structured approach to cloud financial management is clear. But how, where, and by whom? How do you create shared visibility? Where do responsibilities sit across teams? Who drives what and why?

This guide provides a clear overview of Cloud FinOps, explaining its core principles, why it matters, and how organizations can use it as a framework to bridge the gap between finance and engineering while keeping cloud costs under control.

What Is Cloud FinOps?

Cloud FinOps is a structured model and a set of industry best practices designed to unify Engineering, Finance, and other business units’ efforts when building, deploying, and optimizing cloud and IT environments.

At its core, Cloud FinOps provides visibility into cloud usage and cost, establishes ownership and accountability, and enables teams to make data-driven trade-offs between performance, speed, and cost. By aligning Finance and Engineering around shared goals, FinOps helps organizations manage cloud spend proactively rather than reacting to surprises at the end of the month.

Over the years, the FinOps framework has seen several improvements, with its 2025 update expanding beyond cloud cost optimization. While its foundation remains rooted in cloud financial management, the framework now incorporates strategies that help organizations maximize the value of technology investments in and outside of the cloud.

Breaking Down the FinOps Lifecycle

The FinOps lifecycle is an iterative model that guides organizations in continuously improving cloud cost efficiency and performance. It’s both a technical discipline and a cultural practice, cycling through three interconnected phases: Inform, Optimize, and Operate.

Each phase builds on the other, creating a cycle that balances financial accountability with engineering agility. Here’s how they work in practice:

Inform

The Inform phase is the foundation of the FinOps lifecycle. At this stage, the focus is on building a complete, accurate, and actionable picture of cloud usage and costs. Without this visibility, optimization efforts are fragmented and governance becomes reactive instead of strategic.

Inform isn’t only about collecting billing data, but about translating it into insights that are meaningful to different parts of the business: Finance leaders need predictability, engineers need technical granularity, and executives need a clear view of business impact. 

By mapping costs directly to business units, products, or customers, organizations create accountability and ensure everyone understands how their decisions influence spend.

This phase also establishes the guardrails for ongoing cloud financial management: defining budgets, setting tagging standards, allocating shared resources, and forecasting demand. Done well, the Inform phase of FinOps turns cloud costs from an afterthought into a real-time input for business and engineering decisions.

Core activities in the Inform phase include:

  • Mapping spend to the business: Associate cloud costs with departments, teams, products, or customer accounts so ownership is clear and accountability is distributed across the organization.
  • Tagging strategy and compliance: Create and enforce a standardized tagging framework that ensures resources are labeled consistently, enabling accurate reporting and attribution.
  • Showback and chargeback reporting: Provide teams with visibility into their usage (showback) or formally allocate costs back to them (chargeback) to drive accountability and encourage cost-conscious behavior.
  • Budgeting and forecasting: Develop detailed budgets and predictive models that account for workload growth, seasonal demand, and upcoming projects to better align cloud spend with financial planning.
  • Identifying untagged or untaggable resources: Audit the environment for resources that lack tags or cannot be tagged, and develop alternative approaches (e.g., account-level or subscription-level allocation) to maintain coverage.
  • Allocating shared costs fairly: Break down central services (such as networking, monitoring, or security tools) into equitable allocations across consuming business units, avoiding “free rider” scenarios.
  • Custom rates and amortization: Apply methods to normalize costs (e.g., amortizing commitment discounts or converting credits) to provide a more accurate representation of true cloud economics.
  • Integration with financial systems: Connect cloud spend data into existing accounting, procurement, and ERP systems to ensure consistency with organizational reporting practices.
  • Trend and variance analysis: Identify patterns in spend over time, flagging unusual spikes or drops, and track variance against budgets or forecasts to understand drivers of change.
  • Scorecards and benchmarks: Create performance scorecards to compare business units internally and benchmark efficiency against industry peers to assess maturity.

The goal of the Inform phase is to give every stakeholder a shared source of truth for cloud costs. This shared visibility transforms cloud spending from a black box into a business lever, setting the stage for optimization and continuous improvement.

Optimize

The second phase of the FinOps lifecycle is Optimize. This phase builds on the visibility gained in the Inform stage. Once you understand where and how cloud spend is occurring, the next step is to take action to improve efficiency and reduce waste without compromising performance or innovation.

Optimization in FinOps isn’t a one-time event, it’s a continuous, data-driven practice. Teams identify idle or underutilized resources, apply the right pricing models, and design workloads for efficiency. Finance and Engineering collaborate to ensure cost optimization decisions are technically feasible and aligned with business objectives.

Optimization in cloud FinOps is guided by two primary levers: workload optimization and rate optimization.

Workload optimization:

This involves ensuring that cloud resources are right-sized, efficiently architected, and fully aligned with actual usage patterns.

  • Activities here include rightsizing compute, storage, and database instances, eliminating idle or orphaned resources, and implementing autoscaling or scheduling for non-production environments.
  • It also extends to architectural choices: adopting serverless or managed services, applying storage tiering strategies, and setting lifecycle policies for data retention.
  • The aim is to make workloads leaner and smarter, so that every resource running in the cloud is justified by its business value.

Rate optimization

Even after workloads are tuned for efficiency, there are opportunities to optimize the pricing models and discounts applied to them.

  • Teams evaluate options like Savings Plans, Reserved Instances, Spot Instances, and negotiated discounts, to find the right balance of available discount instruments within the organization.
  • Rate optimization also covers fully utilizing credits or custom-negotiated rates, ensuring costs are amortized and reflected accurately in reports.
  • This lever ensures that the cloud spend you do need is purchased at the best possible unit cost.

By continuously cycling through these two levers, the Optimize phase helps organizations cut waste and maximize the return on every dollar invested in the cloud. It creates a culture where engineers and finance collaborate on trade-offs, making optimization a shared responsibility rather than a siloed exercise.

Operate

The Operate phase is about sustaining FinOps as an ongoing practice rather than a one-time project. While Inform builds visibility and Optimize drives action, Operate ensures that cost efficiency, accountability, and performance stay embedded in day-to-day operations. This phase blends governance and culture with continuous improvement, making FinOps a durable business capability.

Key activities in the Operate phase include:

  • Establish governance and guardrails: Define policies, approval workflows, and compliance checks to manage spend proactively.
  • Enforce accountability: Assign clear ownership for cloud costs across teams and hold regular reviews on budget vs. actuals.
  • Measure and track KPIs: Monitor scorecards, benchmarks, and variance analysis to ensure progress toward cost and efficiency goals.
  • Enable continuous improvement: Refine optimization strategies, revisit budgets, and adapt processes as business priorities shift.
  • Foster a cost-aware culture: Encourage collaboration between finance, engineering, and product teams to balance cost, speed, and quality.

Who’s Involved in Cloud FinOps?

Successful Cloud FinOps depends on cross-functional collaboration. The FinOps Framework defines these stakeholders as personas, grouped into Core and Allied roles.

Core FinOps personas

  • FinOps Practitioner: Drives collaboration between finance, engineering, and business teams
  • Engineering: Designs and optimizes cloud infrastructure for cost and performance
  • Finance: Manages budgets, forecasting, and cost accountability
  • Product: Aligns FinOps efforts with product priorities and delivery needs
  • Procurement: Oversees vendor contracts and negotiates cloud service agreements
  • Leadership: Sets priorities and makes investment decisions

Allied personas

  • IT Asset Management (ITAM): Coordinates with FinOps teams to manage the lifecycle of technology assets
  • IT Financial Management (ITFM): Works with departments to align cloud spending with broader IT needs
  • Sustainability: Ensures technology usage patterns line up with long-term goals
  • IT Service Management (ITSM): Coordinates integration of FinOps practices with overall IT service delivery to employees and customers
  • Security: Ensures all cloud optimization efforts don’t compromise important security policies

Key Fundamentals of Cloud FinOps

Cloud FinOps is a field of work that brings together technology, business, and finance professionals with the goal of helping organizations get the most value from every dollar they spend in the cloud. It involves a mix of systems, best practices, and culture, including:

Accountability and enablement

A fundamental element of Cloud FinOps is making cultural shifts across the organization. Part of this task is helping all employees realize that controlling cloud spend is more than just one department’s job.

By setting clear cloud governance requirements and giving departments access to the real-time data and tools needed to meet them, businesses enable a culture of accountability.

Creating this environment encourages every team to take more ownership over every element of their cloud deployments.

Measurement and realization

Tracking and measuring relevant cloud management KPIs is an essential FinOps principle. When businesses regularly organize and analyze their cloud data, it leads to actionable insights they can use to reduce cloud waste, improve the reliability of services and applications, and make smarter financial decisions.

For example, by tracking metrics like cost-per-feature and tracking them against project budgets, engineering teams can make smarter decisions when designing more sustainable cloud architecture.

Cost optimization

Cost optimization is another critical element of FinOps and is typically approached in one of two ways: reactive or proactive.

Reactive cost optimization works similarly to break-fix IT models. Businesses carry out cloud activities and evaluate their total spend at the end of their billing cycles. If there are any unexpected costs, teams then carry out various optimization strategies.

Proactive cost optimization, on the other hand, focuses on implementing continuous improvements to spend efficiency by leveraging automated cost management tools. This allows them to catch potential cost anomalies or inefficient resource allocations “before” they lead to budget overruns.

Planning and forecasting

To create more sustainable cloud environments, accurate resource planning and forecasting are essential. But rather than relying on manual data analysis and spreadsheets, modern FinOps teams use advanced technologies to help align cloud spend with business cycles.

For example, many modern FinOps solutions incorporate sophisticated machine learning models that analyze historical cloud usage and measure it against predicted growth models.

Tools and accelerators

Finally, automation is a key aspect of cloud FinOps. Automation underpins all of the above, offering real-time visibility, anomaly detection, and continuous optimization — turning FinOps from a reactive process into a proactive discipline.

Best Cloud FinOps Tools and Solutions

When adopting FinOps practices into the business, there are a variety of cloud-native and third-party tools that can help make the process more seamless. 

Below are some of the best FinOps tools and solutions available that can add more visibility, improve automation, and increase cost efficiency in your cloud deployments:

Cloud-native FinOps tools

  • AWS Cost Explorer: A free, easy-to-use cost management interface available to all AWS users. It provides near real-time data visualization for analyzing and managing AWS costs while offering detailed reporting capabilities for cloud management teams. Key features of the tool include customizable data filters, intelligent usage forecasting, and exportable billing reports.
  • Microsoft Cost Management: Provides a centralized platform for users to monitor and optimize their spending across all Azure applications and services. The platform integrates Microsoft Copilot to provide users with intelligent cost-saving recommendations based on their resource consumption patterns.
  • Google Cloud Billing Reports: A comprehensive set of tools to help Google Cloud users track their cloud costs while assisting them in identifying available savings opportunities like committed use discounts (CUDs). One of its key features is the FinOps Hub, designed specifically to help businesses track their FinOps maturity levels along with other essential cloud metrics.

Third-party FinOps tools

  • ProsperOps: A fully-automated multi-cloud cost optimization, FinOps platform that maximizes cloud savings by dynamically blending discount instruments such as Reserved Instances, Savings Plans, and committed use discounts. Its data-driven engine continuously optimizes commitments to reduce financial lock-in without any operational friction. 
  • CloudZero: A cloud cost intelligence platform catering to cloud visibility and helps monitor business metrics in the cloud while providing engineering-friendly insights across AWS, Google Cloud, and Azure. Key features include a proprietary cloud resource optimization tool, real-time dashboards, unit cost analysis, and automated anomaly detection with real-time alerts.
  • Finout: An enterprise-grade platform that consolidates cloud and SaaS spending from major providers and Kubernetes into a single, unified business view called a “MegaBill.” This makes it easier to manage billing data from multiple cloud environments while supporting an extensive list of cloud-native integrations.

6 Core Principles of FinOps

The FinOps Framework outlines six core principles that businesses should follow to guide their cloud financial management practices. These foundational values emphasize collaboration, accurate data collection and analysis, and making data-driven decisions. 

These principles include:

1. Teams need to collaborate

Collaboration is key to a successful FinOps implementation. It’s not just about the finance team understanding the costs, but also about the engineering, operations, and business teams understanding and taking responsibility for the costs they incur. 

This cross-functional collaboration ensures everyone is on the same page about cloud usage and costs, enabling more informed decision-making.

2. Business value drives technology decisions

Any technology spending that the business makes to support its operations should consider the actual business value it can deliver rather than its affordability. This principle helps companies view their investments more strategically and shift away from strictly cost-cutting to understanding their long-term returns. 

Taking this approach encourages teams to make more conscious trade-offs when configuring cloud environments.

3. Each individual assumes responsibility for their utilization of technology

Instead of centralizing accountability over cloud spending onto one person or department, the FinOps Framework moves accountability for technology usage to the individuals who consume the resources.

The goal of this principle is to make all departments equally aware and responsible for the cost implications associated with their daily cloud management tasks.

4. Accessibility, timeliness, and accuracy are crucial aspects of FinOps implementation

FinOps data shouldn’t only be visible to executive teams or finance departments. Cloud and IT data should be widely accessible to all relevant personas defined within the FinOps Framework. 

To support this initiative, cloud management tools should contain timely and accurate data that all departments can easily access and understand. Enabling this real-time cost awareness helps to prevent cost overruns, while also making teams more confident in the showback or chargeback reports they receive.

5. FinOps should be enabled centrally

While multiple stakeholders should have varying levels of involvement in FinOps implementations, developing a centralized team is important for ensuring consistent cloud governance across the business.

These teams provide a more scalable FinOps approach by helping to establish best practices, manage technology cost negotiations, and train other departments on how to use their FinOps tools and solutions more effectively.

6. You must harness the benefits of the cloud’s variable cost model

One of the key benefits of the cloud is its variable cost model: You pay for what you use. FinOps takes full advantage of this, using practices like demand management, resource optimization, and pricing model selection to adjust cloud usage and costs in response to changing needs and conditions. This principle ensures that organizations always get the most value from their cloud spending.

The Power of Automating FinOps

As cloud adoption accelerates, FinOps has become critical for reducing waste and maximizing business value. But many organizations face resource constraints and the increasing complexity of modern cloud environments. With thousands of services, discounts, and usage patterns to manage, manual oversight quickly becomes overwhelming.

This is why automation is no longer optional. 

By embedding automation into FinOps practices, businesses can overcome resource bottlenecks, cut through complexity, and move from reactive cost control to proactive. Instead of waiting for end-of-month surprises, teams gain real-time visibility, anomaly detection, and optimization at scale.

Automation turns FinOps from a one-time process into a continuous discipline, enabling smarter, faster, and more sustainable cloud decisions. This is exactly where solutions like ProsperOps come in. 

ProsperOps’ fully automated, multi-cloud platform (AWS, Azure, and Google Cloud) adapts to your usage in real time, eliminating waste, maximizing savings, and ensuring every cloud dollar works harder.

ProsperOps delivers cloud savings-as-a-service, automatically blending discount instruments to maximize your savings while lowering Commitment Lock-in Risk. Using our Autonomous Discount Management platform, we optimize the hyperscaler’s native discount instruments to reduce your cloud spend and help you achieve 45% ESR or more, placing you in the top 5% of FinOps teams.

In addition to autonomous rate optimization, ProsperOps now supports usage optimization through its resource scheduling product, ProsperOps Scheduler. Our customers using Autonomous Discount Management™ (ADM) can now automate resource state changes and integrate seamlessly with ProsperOps Scheduler to reduce waste and lower cloud spend.

Make the most of your cloud spend across AWS, Azure, and Google Cloud with ProsperOps. Schedule your free demo today!

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