How do paytech companies keep payments fast, secure, and available when demand is unpredictable and expectations keep rising? Infrastructure as a Service (IaaS) gives them access to high-performance cloud computing without the cost, risk, and effort of building it themselves. By relying on IaaS, paytech teams can scale in real time, maintain strong security and compliance foundations, and stay focused on innovation rather than infrastructure.
Key Insights
- IaaS in cloud computing allows paytech companies to scale infrastructure instantly, helping them handle transaction spikes and global growth without overprovisioning or long lead times.
- The benefits of IaaS cloud computing are especially clear in payments, where low latency, high availability, and resilience directly impact conversion rates and merchant trust.
- One of the key advantages of IaaS in cloud computing is shifting infrastructure management away from internal teams, reducing operational complexity while maintaining control over payment logic and customer experience.
- The advantages and disadvantages of IaaS in cloud computing come down to trade-offs: faster deployment and scalability versus the need for strong cost controls, security practices, and cloud expertise.
- As payment volumes increase and architectures become more distributed, the benefits of IaaS in cloud computing position it as a long-term foundation for paytech platforms adapting to constant change.
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What, exactly, makes a payment go through in under a second…
…even when millions of people are tapping, swiping, and checking out at the same time?
Behind that split-second experience sits a huge amount of unseen infrastructure - routing requests, running checks, and keeping services online under heavy load.
For paytech companies, owning and operating all of that themselves is a bit like trying to build their own payment rails before they can even process a transaction. It’s possible, but it slows everything down.
So how do modern paytech businesses stay fast, secure, and scalable without carrying the weight of all that infrastructure themselves?
And what does choosing Infrastructure as a Service (IaaS) actually mean for performance, cost, and the future of payments?
Here we’ll break down the real benefits of IaaS in cloud computing and the trade-offs to watch for, as well as why the model is shaping the next generation of payment innovation.
Understanding IaaS (and why it matters more than ever in paytech)
Infrastructure as a Service, or IaaS, is the foundational layer of cloud computing: compute, storage, and networking delivered on demand. Instead of buying servers, maintaining data centers, or planning capacity for peak seasons, paytech companies can tap into cloud infrastructure that’s already engineered for speed, resilience, and global reach and scale it up or down as needed.
For payments, this flexibility is critical. One week a retailer runs a viral promotion, the next a partner launches in a new market, and suddenly transaction volumes multiply. Payments are unpredictable, (and unpredictable systems need elastic foundations).
And this is where the model becomes especially powerful for paytech.
Aevi’s approach to IaaS emphasizes this “built-for-you” model: the platform handles the heavy lifting of security, compliance, data management, and network efficiency, freeing teams to focus on the payment experiences and innovation that truly differentiate them.
Instead of diverting engineering time toward maintaining physical infrastructure, cloud-based IaaS gives paytech companies a ready-made backbone built for the performance and uptime modern payments demand, so they can move faster, launch quicker, and stay competitive without the overhead of running everything themselves.
Advantages and disadvantages of IaaS in cloud computing
Advantages of IaaS
Financial agility - Pay only for what you use, scale for traffic spikes, and avoid heavy upfront hardware costs.
Global scalability - Deploy in new regions quickly and place workloads closer to users for lower latency.
High performance - Access enterprise-grade compute, optimized networking, and storage built for high-volume, low-latency transactions.
Built-in resilience - Multi-zone availability, failover, and disaster recovery reduce downtime risk.
Faster innovation - Spin up test environments instantly, experiment safely, and launch new capabilities without waiting on hardware.
Disadvantages of IaaS
Cost management required - Usage-based billing can lead to unexpected spend if resources aren’t closely monitored.
Vendor dependency - Migrating between providers can be complex and time-consuming.
Technical expertise still needed - Teams must understand cloud networking, access control, and monitoring to use IaaS effectively.
Shared responsibility model - Providers secure the infrastructure; teams must secure their workloads, access, and data.
Possible lock-in with provider services - Proprietary tooling and APIs can limit portability over time.
Financial agility - Pay only for what you use, scale for traffic spikes, and avoid heavy upfront hardware costs.
Cost management required - Usage-based billing can lead to unexpected spend if resources aren’t closely monitored.
Global scalability - Deploy in new regions quickly and place workloads closer to users for lower latency.
Vendor dependency - Migrating between providers can be complex and time-consuming.
High performance - Access enterprise-grade compute, optimized networking, and storage built for high-volume, low-latency transactions.
Technical expertise still needed - Teams must understand cloud networking, access control, and monitoring to use IaaS effectively.
Built-in resilience - Multi-zone availability, failover, and disaster recovery reduce downtime risk.
Shared responsibility model - Providers secure the infrastructure; teams must secure their workloads, access, and data.
Faster innovation - Spin up test environments instantly, experiment safely, and launch new capabilities without waiting on hardware.
Possible lock-in with provider services - Proprietary tooling and APIs can limit portability over time.
So while IaaS isn’t without its trade-offs, the benefits tend to outweigh the challenges - especially in an industry where speed, security, and uptime are non-negotiable. And that becomes even clearer when you look at how IaaS reshapes the paytech ecosystem...
IaaS in the paytech ecosystem
As mentioned above, payments indeed move quickly and unpredictably, and the infrastructure behind them needs to handle that reality without slowing teams down.
With global digital payments expected to exceed $9 trillion in value by 2025 and real-time payments growing 30-40% annually in many markets, paytech companies are under more pressure than ever to deliver performance and reliability at scale. IaaS gives them the flexibility, control, and stability to do that, without carrying the entire infrastructure burden internally.
So what does this shift actually change for paytech companies in practice? It shows up in three key areas where IaaS makes the biggest difference…
1. Infrastructure designed for high-volume, fast-moving payments
Peak payment moments are no longer tied to holidays. Social commerce, influencer-driven spikes, on-demand services, and global marketplaces all create highly irregular transaction patterns.
- Mastercard has reported peak moments driving volumes many times above normal baseline levels during major sales events, such as Black Friday.
- Visa has highlighted latency as a top barrier for merchants, with slow authorizations directly affecting conversion.
IaaS allows paytech platforms to adapt in real time, scaling networking based on live traffic rather than static forecasts. This keeps authorization flows responsive, even during sudden surges.
2. Resilience and compliance without the operational drag
Downtime is one of the biggest hidden costs in payments, with the estimated average cost of IT downtime ranging from $5,600 to over $300,000 per minute, depending on the industry.
When a payment flow breaks, the impact is immediate, lost transactions, abandoned baskets, and a hit to merchant trust.
IaaS helps reduce this risk with built-in resilience, multi-zone availability, and disaster recovery frameworks that would take months or years to develop in-house.
Aevi’s approach strengthens this further by handling core elements such as security, compliance, data management, and network efficiency, reducing operational overhead while leaving paytech teams free to shape the experiences and logic that sit on top.
This creates a strong, compliant baseline without forcing companies to maintain every layer themselves.
3. Faster expansion and more time spent innovating
Payment providers that modernize their infrastructure can reduce time-to-market for new features by up to 50%. This is critical as merchants demand faster onboarding, global compatibility, and support for an ever-changing set of payment types.
IaaS supports this agility by allowing teams to:
- Deploy workloads in new regions quickly
- Meet local data residency or scheme requirements
- Test and iterate without waiting for hardware or procurement
- Focus engineering time on features that differentiate the business
Instead of allocating months to setting up infrastructure, paytech companies can validate new markets and capabilities far more rapidly.
The Future of Infrastructure (and what we’re seeing at Aevi)
When we look at where the industry is heading, a few patterns keep showing up...
- Payment volumes are becoming less predictable, launches are happening faster, and merchants expect every transaction to be instant, even when the backend is under pressure. Based on what we’re seeing across partners and the wider market, the next phase of IaaS will feel a lot more automated and a lot more distributed.
- AI will quietly take on more of the “background stress,” spotting unusual traffic, scaling ahead of demand, and nudging systems into the best shape without humans jumping in. And with more payments happening on the move or at the edge (kiosks, mobile checkout, EV charging, pop-up retail etc.) we expect edge computing to become a much bigger part of the mix.
- Hybrid and multi-cloud will also keep growing simply because one-size-fits-all doesn’t work anymore. Different markets, different rules, different latency needs - it makes sense to spread workloads where they perform best.
So, the 3 big questions we need to answer are...
How do paytech companies stay nimble as expectations rise? How do they keep innovating while staying stable? And how do they prepare for an ecosystem that refuses to stand still?
IaaS won’t solve every challenge, but it gives paytech teams the freedom to focus on what actually moves the needle, better experiences, smarter routing, faster launches.
And here’s the thought worth sitting with: if infrastructure no longer holds paytech back, what possibilities open up next?
Ready to explore how cloud-based IaaS can help your payment infrastructure scale, stay resilient, and adapt to change. Let’s talk about what this could look like across your payment ecosystem.
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