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Fintech infrastructure scales safely only when its capacity, resilience, security controls and institutional dependencies grow together. More transactions per second is one measure of performance, not proof that a platform can withstand failures, protect funds or coordinate with banks, cloud providers and payment systems.
What does it really mean to scale fintech infrastructure?
Scaling means handling more activity without allowing reliability, security, risk management or service quality to deteriorate. That work spans application architecture and computing resources, but also the systems a fintech depends on: banks that hold customer funds or provide access to payment rails, cloud and data-processing providers, legacy platforms and operational teams.
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The Bank for International Settlements (BIS) frames payment infrastructure as something that must remain secure, resilient and adaptable as volumes, technologies, standards and threats evolve. That makes scaling a joint technical and institutional problem. A service may have spare computing capacity and still be constrained by a bank integration, a shared provider, a control process or a failure elsewhere in the payment chain.
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Capacity numbers need context. The BIS Innovation Hub’s Project FuSSE report, published 29 January 2026, describes a modular, microservices-based settlement engine explored in a proof of concept. Under controlled test conditions, it reached 10,000 transactions per second (TPS), while computing resources increased less than proportionally as throughput rose.
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Those qualifications matter as much as the figure. BIS explicitly says Project FuSSE does not provide production-ready components, assert compliance with the Principles for Financial Market Infrastructures (PFMI), or serve as a performance benchmark or implementation reference. It also does not define payment, governance or cost models. The result demonstrates what that proof of concept achieved in its test setting; it does not establish the capacity of a commercial payment network or what a fintech will achieve in production.
Modularity can help isolate scaling needs
In the FuSSE design, services can be scaled independently. BIS identifies cryptographic services as one example: treating them as a distinct service can help address performance bottlenecks and provide a route to integrating post-quantum cryptography as standards mature. This is an architectural approach to investigate, not a ready-made production design. Independent services also mean more components and interactions for a team to operate and validate.
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Measure the whole behavior, not just the peak rate
Before treating a throughput result as meaningful for a live system, a team needs evidence about the conditions behind it and how the system behaves when conditions change. Useful validation questions include:
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- Failure behavior: What happens when a service, dependency or provider is unavailable, and how does the system recover?
- Security and cryptography: Which security functions can become capacity constraints, and how will cryptographic requirements change over time?
- Operations: Can teams monitor, troubleshoot and safely update the additional components and integrations?
- Cost: What resources and operational work are required at different loads? The FuSSE report does not supply a commercial cost model.
These are deployment questions the proof of concept does not settle. A peak TPS figure on its own cannot answer them.
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What risks must grow alongside the business?
Growth adds operational and institutional exposure as well as technical load. In its May 2022 Supervision and Regulation Report, the Federal Reserve identifies operational, cybersecurity, liquidity and reputational risks associated with fintech activity’s effects on bank safety and soundness and consumer protection. It says banks should establish controls for new products and services and develop risk-management practices at a pace aligned with growth.
That is a supervisory framing for banks, not a universal rule for every fintech or jurisdiction. Its practical implication for a fintech working with a bank is that new products, higher activity and changed dependencies need controls and risk practices that keep pace; the bank relationship does not make the fintech’s own operating risks disappear.
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Can cloud services make scaling safer?
Cloud services can provide access to computing and data-processing expertise and may support reliability, resilience, security and service access. They also create dependencies that firms need to understand and manage. In a U.S. Treasury release dated 8 February 2023 summarizing its financial-sector cloud report, Treasury highlighted the need for financial firms to improve visibility, support staff and engage cloud providers in cybersecurity incident response. It also called for further evaluation of financial risks associated with reliance on a limited number of providers.
Treasury’s report imposes no requirements and endorses or discourages no specific provider or cloud service. Its message is not that cloud is inherently safer or riskier; firms need enough visibility and coordination to manage the service they rely on, including during incidents and across provider relationships.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Why are banks, providers and legacy systems part of the scaling equation?
The World Bank’s report Fintech and the Digital Transformation of Financial Services: Implications for Market Structure and Public Policy describes a market in which fintech and big-tech firms may rely on banks to hold customer funds, access payment systems and provide core banking functions. Banks, in turn, buy cloud computing and data-processing services from technology firms. Incumbents bring experience managing large balance sheets and evolving compliance obligations, while fixed-cost legacy infrastructure can be difficult to scale back.
These relationships can enable a business to grow without building every capability itself. They also mean that scaling involves coordination: a change in one firm’s systems or operating model may depend on a bank, provider or payment rail. The World Bank’s analysis highlights the dependencies and economies of scale involved, rather than establishing a single best arrangement for every firm.
What should leaders compare when evaluating a scaling approach?
There is no established like-for-like comparison here of commercial fintech architectures or providers. A useful assessment compares the evidence and trade-offs for the specific systems under consideration, rather than treating a single throughput number or cloud label as a verdict.
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1Scan for outdated or missing drivers - takes under a minute2Clear out junk files and repair common Windows errors3Fix the driver behind crashes, sound loss and screen glitches| Assessment area | Questions to answer |
|---|---|
| Throughput and resource scaling | What load was measured, under what conditions, and how do resources and bottlenecks change as activity grows? |
| Resilience and security | How does the system behave during failures or security incidents, and who is responsible for response across service boundaries? |
| Provider concentration and visibility | Which services depend on a small number of providers, and what visibility and incident-response coordination does the firm have? |
| Integration and dependencies | Which banks, legacy systems and payment rails are involved, and how do their requirements affect changes or recovery? |
| Governance, funding and regulation | Who sets priorities, funds changes and governs shared infrastructure, and which jurisdiction’s rules and institutions apply? |
Why infrastructure governance matters: the UK example
Technical capacity alone cannot deliver an infrastructure upgrade if decision-making, funding and responsibilities are unclear. The UK’s National Payments Vision, updated 2 July 2026, says upgrading the country’s eight retail payment infrastructures has been slow and challenging. It establishes a Payments Vision Delivery Committee to clarify upgrades required to Faster Payments, assess longer-term infrastructure needs, and address funding and governance, including possible Pay.UK reform.
The vision also puts UK payment volumes in context: it says the UK made almost 50 billion payments in the previous year, or around 1,500 transactions per second. That is a UK-wide contextual figure in a policy document, not a fintech capacity benchmark or a like-for-like comparison with the controlled FuSSE proof-of-concept result. The UK example illustrates that infrastructure change can require public and industry coordination; it does not establish a universal timetable or policy model.
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