Crystal-clear visibility into cloud spend at the workload and tenant level
- Days
- Time to first cost insights after install
- Days
- From install to powerful cost reporting
- Workload & tenant
- Granularity of cost visibility
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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.

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.
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.
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.
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
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.
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.
Explore how Cloud Intelligence™ helps teams improve visibility, governance, and unit economics across cloud environments.
Attribute™'s platform is truly unique. We now have crystal-clear visibility into our cloud spend at the workload and tenant level, and that insight has already led to actionable savings and powerful insights as we further scale our service.
Paul White, VP of Engineering, Shasta Cloud
We have worked with DoiT for many years, and there has been an increasing number of capabilities and features in DoiT Cloud Intelligence. We've embedded features such as Cloud Analytics and Reports in our own FinOps processes, it's become core to what we do.
Martin Lee, Director of Operations
DoiT gave us the confidence to move from experimentation to production. They helped us understand the right way to build AI for the real world.
Milad Rezazadeh, CTO
Attribute™'s cost grouping technology took our cost visibility and allocation to a whole new level. Now, our teams are fully accountable for their budgets, significantly improving our cloud efficiency and helping us minimize unnecessary costs.
Eli Zilbershtein, Head of DevOps, Hippo
You can't tag a customer in a multi-tenant environment. Attribute™ finally shows us what each customer costs and what's driving those costs.
Omri Cohen, Director of Engineering, Platform
Attribute™'s data is truly unmatched. No other solution on the market could deliver the precise customer cost and usage profiles we needed in such a complex infrastructure. Within weeks, the data from Attribute™ transformed our understanding of cost structures, influencing key strategic decisions in pricing, renegotiations, and market positioning.
Jonathan Langer, COO, Claroty
Attribute™ simplified tracking customer costs in our multi-tenant environments. Customer cost measurement is now clear and standardized, and finance gets the business context they need. Integration was quick and required no changes.
Kfir Lippmann, CFO, Salt Security
Attribute™ translates complex cloud bills into actionable, business-centric insights that empower our engineering teams to take true ownership of their costs.
Balamurugan Mohandossgandhi, Head of IT and Infrastructure, PropertyGuru
This has let us get a better idea of what our cost of goods sold really is. It's not every day you come across something that delivers value as quickly as yours did for us. I was seeing useful insights inside the POC, and we had only deployed it to a couple of real clusters.
Jason Moore, Principal DevOps Engineer, Accrete AI
Eliminating the need to tag thousands of resources has freed up my team and we've invested our efforts in enhancing our platform significantly.
Ziv Sivan, VP of Engineering
PerfectScale by DoiT has become an important part of how we optimize Kubernetes at scale at OneFootball. It gives our platform team the visibility, automation, resiliency insights, and confidence we need to balance cost efficiency with production readiness, especially as we prepare for major global football moments like the 2026 FIFA World Cup.
Andrea Benfatto, Platform/Cloud Runtime Engineering Manager
Cloudflow's new RDS End of Life alerts have allowed us to be more proactive on keeping our database instances up-to-date. The new solution gives us internal visibility ahead of time so that we can prepare for upgrades, instead of having to upgrade under pressure while incurring extended support costs.
Jon Fairbanks, Site Reliability Engineering Manager
PerfectScale cut 40% off our total EKS spend, and the automations handle what used to take our team 20 hours a month. Now we spend that time on reliability and performance instead of chasing cost metrics.
Caio Cristo, Director of Infrastructure/SRE
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