The role of cloud infrastructure in achieving sustainability goals


Digital systems today are often judged by how quickly they respond, how reliably they scale, and how intuitively they serve users. But underneath the surface of sleek interfaces and seamless workflows lies a less visible factor—energy consumption. As demand for speed and availability grows, so too does the strain on computing infrastructure. Performance lags, energy inefficiencies, and architectural decisions are increasingly intertwined. This has led to a new imperative: building cloud systems that are high-performing and environmentally responsible.

But what if performance bottlenecks were also energy inefficiencies? And if so, could smarter design choices deliver better experiences and reduce our environmental impact?

As digital infrastructure continues to scale, that early insight has only grown more urgent. In today’s cloud-first world, the way systems are designed, deployed, and managed is deeply tied to the industry’s ability to meet sustainability goals. Green cloud architecture is poised to become one of the defining challenges and opportunities of the next decade. 

Cloud’s dual burden

Cloud computing today is the backbone of digital transformation. But its meteoric rise comes with an environmental cost. With the rapid expansion of digitalisation, the cloud must evolve from simply being scalable to being responsible.

According to the International Energy Agency (IEA), data centres consumed approximately 460 terawatt-hours (TWh) of electricity in 2022. That’s more than the entire power consumption of a country like Sweden. With AI workloads, streaming media, and real-time applications growing rapidly, this demand is projected to more than double by 2026.

But here’s a challenge: how do we continue to build rich digital experiences without overwhelming the planet?

Rethinking cloud architecture

Much of the discourse around green tech focuses on hardware such as low-power chips, renewable-powered data centres, and liquid cooling systems. However, in practice, some of the most significant sustainability gains come from architectural choices, not machines. 

For instance, optimising an application’s content delivery using edge computing and serving static assets closer to users, and applying smarter caching rules saw a 40% reduction in origin traffic. This improved page load times and minimised the compute cycles required to serve repeated requests.

Platforms offering edge computing and distributed content delivery do more than accelerate performance. They cut down energy draw for routine operations.

Serverless: Built for efficiency

Serverless computing has been another shift that made a tangible impact on sustainability. Unlike traditional infrastructure that runs continuously, even when idle, serverless spins up resources only when triggered by actual user activity. Serverless architecture encourages lean, modular code, removing bloated processes and promoting event-driven designs that are inherently more resource-efficient.

For example, in one project, we moved time-sensitive workflows to edge-triggered serverless functions. The outcome was a nearly 30% drop in infrastructure costs and a noticeable improvement in our energy profile due to reduced compute-hour usage.

Embedding sustainability into the development lifecycle

Sustainability can no longer be a separate checklist or post-facto goal. It must be integrated into how we design, deploy, and scale digital infrastructure. This starts with making intentional architectural decisions that prioritise efficiency from the ground up. Moving logic and content closer to end users through edge networks helps reduce round-trip times, bandwidth consumption, and energy waste. Leveraging autoscaling and event-driven patterns prevents idle compute cycles, while optimising APIs and microservices for lean data exchange ensures minimal overhead. Equally critical is the choice of cloud partners, those that disclose their carbon usage and actively invest in renewable infrastructure. 

These strategies are especially vital in regions with growing digital footprints and constrained energy resources, such as India, Southeast Asia, and parts of Africa, where inefficient infrastructure has both environmental and economic costs. 

In every infrastructure conversation, the leading questions should no longer be just about performance; they must also consider environmental impact, like: Can this logic be processed closer to the user? Are there unnecessary computing operations? What is the energy profile of this architecture? 

What’s ahead of us?

We’re entering an era where digital infrastructure will be judged not just by how it scales, but by how responsibly it does so. Whether you’re building a national citizen portal, a fintech app, or an ecommerce backend, the invisible energy costs of your design choices will soon be under the spotlight. Green cloud computing is not about sacrificing speed or agility. It’s about making smarter decisions: one function, one route, one cache rule at a time.

The next decade of innovation will not be shaped solely by AI or quantum computing. It will be defined by how intentionally we balance scale with sustainability. And cloud architecture is one of the most powerful levers we have.

(Amin Habibi is Co‑Founder and Chief Operating Officer at VergeCloud.)


Edited by Jyoti Narayan



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