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Sift Delivers Millisecond Fraud Decisions

DoiT guided Sift's migration to Google Cloud Bigtable and optimized infrastructure across 50 projects to cut latency and control spend.

Meet Sift

Sift is a digital trust and safety company that leverages machine learning and knowledge from more than 34,000 sites and apps to enhance transaction security and fraud prevention. With more financial transactions happening online, businesses need infrastructure to safely manage sensitive information and avoid fraud. Sift developed the first machine learning-powered digital trust and safety platform to give companies a way to prevent fraudulent activities. The platform processes huge quantities of customer data to create an accessible and informative history of events to help mitigate security threats by scoring transactions on their risk.

The Challenge

With a lean engineering team and growing data volumes, Sift needed to transition from their existing hosting environment to a more scalable solution. They required deep Google Cloud expertise to navigate infrastructure changes and migrate core systems while managing a cumbersome and costly metrics system.

The Solution

Sift partnered with DoiT International to migrate to Google Cloud Bigtable as their primary datastore. They implemented reOptimize.io for cost optimization and reporting, gained enhanced visibility into cloud provisioning and spend across 50 projects, and leveraged DoiT's engineering support for infrastructure optimization.

Results

Achieved millisecond-level response times for online data processing, enabling instant customer responses
Marked decrease in latency to endpoints through Google Cloud network
Enhanced visibility and cost optimization across 50 cloud projects with granular structure
Successful horizontal scaling capabilities to support company growth
Reduced measurement complexities and cloud spend through optimized metrics system

DoiT was a great consulting partner that gave us the big picture in simple terms and provided insights on infrastructure changes.
Jeff McCarrell, Distributed Systems Engineer

Overhauling the infrastructure

In shifting to Cloud Bigtable, Sift found itself balancing between two clouds. It needed a partner that had deep knowledge of Google Cloud solutions, as well as the best practices involved in making infrastructure changes and migrating core systems to new platforms. DoiT International stepped in to help navigate the solutions available, and offer the best approaches to use them. Sift also had a cumbersome and costly metrics system in place to manage its internal streaming platform.

Enhanced visibility and cost optimization

Sift uses reOptimize.io, a cost optimization and reporting tool created by engineers at DoiT, to gain enhanced visibility into its Google Cloud provisioning, use, and spend. The production side of their business has about 50 projects running in the cloud with a very granular structure. DoiT has given them detailed information on those projects and investments, allowing them to target the best areas for improvements. Sift was able to leverage DoiT to scale usage up and down for tools like Google Cloud Storage and Cloud Bigtable.

Achieving platform excellence

With Google Cloud and DoiT support, Sift is making powerful refinements to its platform. Cloud Bigtable acts as the company's primary datastore and offers the horizontal scaling needed to manage data processing demands. Sift's services are hosted on dedicated VM instances through Google Compute Engine, while the company uses Google Kubernetes Engine to support machine learning procedures and the Kafka cluster that provides queuing between services. This combination has created the foundation Sift needs to maintain a consistent global datastore without managing replication and consistency.

Expanding services for a safer web experience

Sift's mission is to make the internet safer for everyone, and that mission changes as threats evolve and customer behaviors shift. Google Cloud and DoiT have helped them scale and focus engineering efforts on delivering value instead of IT management. Data security and digital trust increasingly rely on machine learning and artificial intelligence, as powerful analytics reduce risk. Sift plans to continue building up its vertical product offerings in the coming years to support customer needs.

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What they say

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

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

SELECT has made important cost data readily accessible. I will often pull it up during engineering design reviews so we can quickly evaluate cost impact and projections and factor that into our design decisions.

Douglas Zickuhr, Senior Data Platform Engineer at Personio

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