Cloud Optimisation and FinOps
Reducing Cloud Waste and Aligning Spend with Business Value
Cloud platforms offer enormous flexibility and scale - but without the right controls, costs can grow quickly and unpredictably. MachinePace helps organisations optimise cloud and data platform spend through FinOps best practice, performance tuning and continuous optimisation.
We combine financial governance, engineering expertise and operational insight to help you reduce waste, improve efficiency and ensure every pound spent on cloud delivers measurable business value.
What Is Cloud Optimisation and FinOps?
Cloud Optimisation & FinOps defined
Cloud optimisation and FinOps is the discipline of managing cloud spend through collaboration between engineering, finance and operations. It ensures that cloud usage is efficient, cost effective and aligned to business priorities. A mature FinOps capability provides the visibility, controls and shared accountability needed to balance performance, cost and agility across modern cloud environments.
When it’s well-designed
A well designed FinOps model delivers clear visibility into cloud usage and cost drivers, reduces waste and unnecessary spend, and ensures compute, storage and data workloads are right sized for performance and efficiency. It creates a culture of shared accountability, improves predictability of cloud budgets and helps teams make informed decisions without overspending. MachinePace helps you build a FinOps capability that is practical, scalable and embedded into everyday operations.
MachinePace’s Approach
Our FinOps approach blends financial accountability with engineering excellence. MachinePace helps organisations understand where cost is created, how to control it and how to optimise without compromising performance. We embed cost governance into everyday workflows, giving teams the visibility and confidence they need to run cloud platforms efficiently and sustainably.
What we Deliver
Cloud Cost Assessments
Identifying inefficiencies, waste and optimisation opportunities across your cloud and data platforms - giving you clear visibility into where spend can be reduced without impacting performance.
FinOps Frameworks and Operating Models
Establishing processes, roles and governance that bring financial accountability to cloud usage - creating a culture where engineering, finance and operations work together to manage cost effectively.
Spend Optimisation and Waste Reduction
Right sizing resources, eliminating unused services and improving utilisation across workloads - reducing unnecessary spend while maintaining reliability and performance.
Performance Tuning and Efficiency Improvements
Enhancing platform performance while reducing compute and storage costs - ensuring workloads run faster, more efficiently and with lower operational overhead.
Monitoring, Reporting and Continuous Optimisation
Implementing dashboards, alerts and review cycles that maintain long-term cost efficiency - enabling proactive management and predictable cloud budgets.
Typical Engagements
Typical engagements include reducing overspend across cloud data platforms, implementing FinOps practices and tooling, and improving workload performance while lowering overall cost. We help engineering teams establish clear cloud‑cost governance, optimise storage, compute and data‑processing workloads, and create dashboards and reporting that provide ongoing visibility into spend. Every engagement is designed to build a sustainable, efficient and financially accountable cloud operating model.
Why MachinePace?
MachinePace brings together cloud engineering, financial governance and operational expertise to help you achieve sustainable, long-term cloud efficiency. We focus on practical improvements that deliver immediate savings while building the foundations for continuous optimisation.
Ready to Optimise your Cloud Spend?
Speak to our experts and discover how MachinePace can help you reduce waste, improve performance and align cloud spend with business value.