Engineering for Efficiency: How Flipster Scaled Smarter with AWS Graviton

In a market defined by speed, cost control, and user trust, every technical decision is strategic. For Flipster, optimizing infrastructure is not just about saving resources, it’s about reinforcing our commitment to reliability, accessibility, and performance for every trader.

As our trading volumes scaled into the billions, maintaining ultra-low latency and stable performance across peak loads became a core engineering priority. That’s what led us to migrate our compute workloads to AWS Graviton, a move that delivered up to 20% in cost savings, a 40% latency reduction in select services, and a smoother experience for users across the board.

Building for performance and scale

Flipster was built from day one on Amazon Web Services (AWS), a foundation that supports the security and resilience our users expect. But as the platform matured, so did our need to optimize performance per dollar.

We evaluated AWS Graviton, an Arm-based processor designed to deliver superior price-to-performance ratios for modern cloud workloads. The question was simple: could Graviton sustain Flipster’s demanding trading environment, where milliseconds can influence strategy, and reliability defines user trust?

Early tests confirmed that Graviton could match x86 performance while operating more efficiently under high-throughput trading conditions. This confidence led to a full migration plan designed to balance innovation with operational control: three deliberate phases (preparation, testing, and rollout) completed with near-zero downtime and no major code rewrites.

A seamless transition, real impact

The migration was completed in one month, with 95% of production workloads now running on Graviton. Key outcomes include:

• Up to 20% reduction in normalized infrastructure costs

• 40% lower latency for select services

• 15% drop in CPU utilization, improving headroom during volatile markets

These optimizations directly support a smoother, more stable trading experience, particularly during volume surges, while enabling faster deployment cycles through unified Arm-based development.

By improving price efficiency across its infrastructure, Flipster continues to sustain zero spreads and lowest all-in costs, passing on operational value directly to its users.

Extending the advantage

Flipster’s migration to Graviton is part of a broader strategy to continuously engineer for efficiency, resilience, and scale. The remaining workloads will soon be transitioned, while the team explores AWS Lambda for finer-grained latency control and Amazon Bedrock to power next-generation user experiences through generative AI.

Each of these moves reflects a consistent principle: engineering choices are strategic choices. By designing systems that are efficient, scalable, and user-focused, Flipster continues to strengthen its foundation as a high-performance trading platform built for global scale.