Green Software: Reducing the Carbon Footprint of Your Applications

Every request, video stream and AI model call consumes energy. As digital services grow — and AI workloads especially — the environmental footprint of software matters. Conveniently, the steps that reduce carbon usually reduce cost too.

Measure first

Most cloud providers offer carbon footprint reporting. Combine it with cost and usage data to find the biggest contributors.

Cloud efficiency

• Right-size over-provisioned servers and databases
• Shut down idle environments outside working hours
• Use autoscaling and serverless for variable workloads
• Choose efficient instance types, including modern ARM-based processors
• Consider region choice — some regions run on cleaner energy grids

Efficient AI

• Use smaller models when they meet quality requirements
• Cache responses and avoid unnecessary calls
• Batch non-urgent work
• Avoid retraining models more often than needed

Front-end efficiency

Smaller pages use less energy on networks and devices. Compress images, ship less JavaScript and lazy-load content — the same work that improves Core Web Vitals.

Data efficiency

• Delete data you do not need
• Tier old data to cheaper, lower-energy storage
• Avoid duplicating large datasets across environments

Architecture

Efficient algorithms and queries matter. A single slow query running millions of times wastes significant energy.

Reporting

Larger customers and investors increasingly ask suppliers about sustainability. Being able to show measured improvements is becoming a commercial advantage.

See our cloud services and DevOps offerings.