How airpay embedded Cloud Efficiency into its Engineering DNA with Astuto OneLens

About airpay

Positioned as India's key partner in driving the adoption of digital financial services with global ambitions, airpay is shaping the future of payments from #LocalToGlobal, from India to the Middle East and Africa.

airpay is globally reshaping the payment landscape, seamlessly integrating across channels. Our unique selling proposition (USP)lies in our ability to cater to diverse needs across sectors, establishing us as the preferred partner for innovative and comprehensive financial solutions.

With 13+ years of expertise, airpay is India's first integrated omni channel financial services platform, boasting a global presence with 800+ employees across 14 offices in 3 continents.

In India, airpay has revolutionised access to financial services, empowering 10 lakh+ business owners and fostering financial inclusion with last-mile connectivity. The platform's open architecture provides real-time transaction visibility and advanced analytics, serving consumers, businesses, banks, and financial institutions worldwide.

Continuously setting new industry standards, airpay remains committed to driving innovation in the ever-evolving financial technology landscape.

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‍The Challenge

As one of India’s leading digital financial infrastructure platforms, airpay runs a complex, rapidly scaling cloud environment on AWS. With a small, five-member DevOps team managing a significant cloud footprint, cloud cost optimisation was already a core focus.

However, internal efforts reached a ceiling. Engineers struggled with limited visibility into granular optimisation actions and had to rely on manual, time-intensive analysis. While high-level cost-saving signals were available, converting them into actionable changes was slow, inconsistent, and often blocked by a lack of prioritisation.

This not only delayed implementation of critical optimisations but also diverted valuable engineering bandwidth away from innovation and delivery.

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To scale their efforts and bring structure to their cloud optimisation journey, airpay turned to Astuto OneLens.

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Execution-ready recommendations

OneLens translated broad cost signals into specific, validated actions—whether it was resizing EC2 instances, eliminating underused RDS, or optimising S3 storage classes. This allowed airpay’s DevOps team to act immediately, without needing to spend time on research or validation.

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Impact-Based Prioritisation

The platform’s smart engine ranked cost-saving opportunities based on potential financial and operational impact, so teams knew exactly where to focus their efforts to maximise ROI.

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Continuous Optimisation, Not Just Cleanup

Instead of periodic audits and reactive interventions, airpay now had a continuous stream of optimisation opportunities, embedded directly into their workflows—turning cloud efficiency into a sustainable engineering discipline.

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