FinOps principles

Finance, technology, product, and business departments collaborate in near real time to efficiently operate and optimize cloud resources under a per-second billing model.

Departments work closely to continuously optimize processes, promote innovation, and maximize efficiency.

Focus on unit economics and value metrics, not just total spending. This approach provides deep insights into business impact.

Balance cost, quality, and efficiency when making decisions.

Use the cloud as a driver for innovation.

Assign cost accountability at the finest granularity. Ensure engineers are responsible for the services they use and their costs throughout the service lifecycle, from architecture design to continuous operation.

Feature and product teams should manage their own cloud resources and control their budgets.

Decentralize decision-making for cost-effective architecture, resource utilization, and optimization. This leads to more flexible and efficient management.

Technical teams must consider cost as a key performance metric from the beginning of the Software Development Life Cycle (SDLC).

Process and share cost data promptly.

Use real-time data visualization to drive improvements in cloud resource utilization.

Establish fast feedback loops to boost organizational efficiency.

Ensure all levels of the organization can easily access their cloud spending data.

Create, monitor, and improve financial forecasts and plans in real time.

Use trend and variance analysis to uncover the root causes of cost growth.

Benchmark within teams to establish best practices and recognize outstanding performance.

Benchmark against the industry to evaluate business performance.

In a shared responsibility model, a central team actively promotes best practices and empowers other teams. This pattern is similar to information security, where a dedicated central team exists, but every member is still responsible for security within their own scope.

Senior management is committed to FinOps practices.

Centralize the management of rates, commitment-based subscriptions, and discount optimization to leverage economies of scale.

Engineers and O&M teams do not need to focus on rates. Instead, they should focus on optimizing cloud resource usage in their own environments.

Treat the cloud computing variable cost model as an opportunity to increase value delivery, not as a potential threat.

Forecast, plan, and purchase cloud resource capacity just in time.

Prioritize agile iteration over fixed, long-term planning.

Adopt proactive system design and continuously adjust cloud optimization strategies. Avoid periodic, campaign-style cleanup efforts.