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SecuredTouch Scales 100x Traffic on GKE

DoiT guided the migration to Google Kubernetes Engine and an event-driven microservices architecture, protecting tens of millions of daily users with no dedicated DevOps team.

Cloud Intelligence™
SecuredTouch

Meet SecuredTouch

SecuredTouch is revolutionizing the eCommerce space with its innovative scale fraud detection platform. The company pioneers a shift in fraud detection by injecting behavioral biometrics into fraud detection processes. SecuredTouch customers reduce fraud rates and lower related costs while boosting transaction rates with hassle-free user experience. The platform covers multiple fraud use cases including account takeover, new account fraud, loyalty program fraud and payment fraud. Founded in 2014 and operating from Israel and the United States, SecuredTouch works with top global merchants and financial institutions.

The Challenge

SecuredTouch needed a comprehensive platform to support delivery of fraud detection services to a growing customer portfolio. Requirements included extremely high scale with minimal latency impact while keeping lean and making optimal use of resources. The company processes behavioral data from edge devices in real-time, collecting touch-screen gestures, mouse movements, and device sensors to identify malicious activity.

The Solution

SecuredTouch collaborated with DoiT to migrate production to Google Kubernetes Engine for optimized resource utilization and costs. The company converted its entire ecosystem into an event-driven microservices architecture. All external API endpoints are routed via Google Cloud Global Load Balancer using ingress, drastically reducing network latency for worldwide distributed clients. GKE clusters handle horizontal auto-scaling and preemptible node-pools for resource management optimization.

Results

  • Scaled traffic by 100x in 2019 with continued dramatic growth in 2020
  • Protects tens of millions of daily active users with no dedicated DevOps/SRE required
  • Handles hundreds of thousands of concurrent sessions while identifying malicious attempts in real-time
  • Achieved global distribution with reduced network latency through Google Cloud Global Load Balancer

Placing our bet on Kubernetes and Google Cloud was a key strategic decision that has paid off. It has allowed us to scale our business quickly while focusing our R&D efforts on SecuredTouch's unique value rather than IT and infrastructure challenges.

Ran Wasserman, CTO, SecuredTouch

The Result

SecuredTouch saw traffic increase 100x in 2019 with continued dramatic growth in 2020. Despite operating at scale and serving hundreds of thousands of concurrent sessions, no dedicated DevOps/SRE is required on the R&D team. The simplicity and resilience of Google Cloud, talented R&D team and effective partnership with DoiT made this possible. GKE clusters smoothly handle resource management optimization including horizontal auto-scaling and preemptible node-pools.

What's Next

SecuredTouch currently protects tens of millions of daily active users for customers by identifying hundreds of thousands of malicious attempts in real-time with high accuracy levels. This creates a win-win situation for all sides involved. SecuredTouch now provides a unique value proposition relevant to multiple markets and is developing new product capabilities to remain a global market leader in fraud detection technology.

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