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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

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

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

SELECT feels like exactly what Paul and I would have built if we had locked ourselves in a room for 18 months to create our ideal monitoring solution.

Devin McGee, Data Engineering Lead at Home Chef

SELECT dramatically lowers the cognitive load to understanding Snowflake costs. I'm able to sit there and easily understand what's driving the cost. Not to blow smoke up your ass, but it's just so easy to do in your platform

Blake Baggett, Head of Data Operations at Entain

One of the most helpful cost rituals we've setup from SELECT is the weekly spend digest sent to Slack. I can start high level and ensure things are in check. If not, I can very quickly drill down into specific workloads which may have driven the cost spike and remediate them before they become a bigger issue.

Michael Revelo, Manager of data and analytics engineering at ClickUp

Through SELECT's automated savings feature and deep cost visibility, we were able to instantly lower our Snowflake spend by over 40% and achieve a 20X ROI on our SELECT investment.

Skyler Chi, SVP, GTM Productivity & Excellence at Exiger

Our costs had jumped up 3X as we scaled, so we're talking about 60% savings in Snowflake spend after adopting SELECT.

Edward Mancey, GTM Lead at Synthesia

DoiT was a true partner, not a vendor. They helped us understand the problem, refine the vision, and build something production-ready far faster than we could have on our own. Their expertise, responsiveness, and commitment made all the difference.

Dr. Anish Kapur, Founder & CEO, Promptly

DoiT's Customer Success and Forward Deployed Engineering teams work very closely with us. The regular sessions with our CSM keep us focused on the right priorities, and the FDEs provide the deep technical guidance we need to validate decisions and optimize our environment. That combination has been genuinely valuable for us.

Alexander Lundberg Santos, Platform Engineer at Extenda Retail

Every customer has unique usage patterns. Manual resource optimization simply didn't scale—we needed automation to ensure every customer, regardless of size, had right-sized infrastructure without consuming our team's capacity.

Brad Quinn, Lead Platform Engineer, PlayHQ

SNCF

PerfectScale allowed us to grow capacity without growing cost. We effectively absorbed 30% more usage for free.

Thomas Comtet, Senior Staff Engineer, SNCF

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