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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.
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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What they say
What I really like about DoiT's approach is that you're very hands-on and proactive. Satyam would ping me a few times a sprint, letting me know about the most current features, checking in on how things are going. When we are going through a peak time, that proactiveness makes a real difference. Satyam always comes through whenever we need support and helps us leverage the right experts to get us where we need to be.
Chiamaka Ibeme, Engineering Manager, Platform
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Douglas Zickuhr, Senior Data Platform Engineer at Personio
I love clicking through SELECT to understand how our environment and workloads are evolving. I probably check it every day. It's coffee and SELECT for me every morning.
Ian Fahey, Senior Analytics Engineer at Loop
You guys have the best UI experience that I've had of any software. It's like you just read my mind where, like, oh, I wish I could click there. Oh, I can
Diana Koshy, Sr. Director of Data Engineering at Kargo
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Devin McGee, Data Engineering Lead at Home Chef
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