Finlex cuts cloud costs 50% and ships production AI with DoiT
- Over 65%
- reduction in cloud infrastructure costs from 2024 - present
- 40%
- cost savings achieved through improved visibility and efficient AI architecture
GoldenRace generates more than 25 million betting tickets per day as a global leader in virtual games. Founded in Malta in 2006, the company offers virtual sports betting opportunities across virtual racing, football, and more on over 500 websites. By simulating realistic games and realistic odds, GoldenRace provides new opportunities for entertainment and unique viewing experiences worldwide. The company belongs to Softquo Holding, a world-leading gambling holding company committed to innovation and technology.
With nearly 20 years of technology built and layered together, GoldenRace wanted to identify areas of its cloud infrastructure it could optimize to improve performance-per-spend and cut wasted engineering effort. Operating in multiple countries with multiple cloud accounts made it difficult to understand exactly where or how they were spending money to power their cloud infrastructure.
DoiT helped GoldenRace review their database usage to identify spikes and optimization opportunities during an AWS Aurora 2 to Aurora 3 upgrade. The company implemented Flexsave for Compute for automated compute management, consolidated reporting across multiple AWS accounts with DoiT Cloud Intelligence, and deployed Real-Time Anomaly Detection for proactive security.
DoiT's expertise helps me see options I might have missed. Their point of view helps me think beyond what's in front of me and discover new solutions to optimize our cloud processing.
Alejandro Gomez, IT Director at GoldenRace
During the upgrade from Aurora 2 to Aurora 3, DoiT helped GoldenRace recognize areas of its database that could be improved while simultaneously migrating versions. By recommending changes to specific configurations, the team could accelerate processing speed and allow the database to be more adaptable to usage fluctuations without adding operational overhead. GoldenRace implemented Flexsave for Compute for ongoing, automated compute management. DoiT also suggested Aurora I/O optimized with MySQL 8.0 to better meet their needs.
Variation in regional regulations and data storage laws means GoldenRace maintains multiple AWS accounts. The company wanted to make more data-driven decisions but compiling cross-account data took several days every month. They combined these datasets into DoiT Cloud Intelligence and Cloud Analytics to gain clearer insight across the entire organization. This reduced the time spent manually finding and processing data, allowing focus on growth.
With Real-Time Anomaly Detection, GoldenRace can automatically catch and quickly correct cost and security anomalies before they escalate. The automated review process means they don't have to monitor workloads constantly, and if a vulnerability appears affecting their system, they're alerted immediately. The team can now catch common vulnerabilities and exposures before they're deployed in production. They detected a vulnerability in one of their variables built using a third-party tool, but DoiT's Anomaly Detection combined with Lacework caught the CVE and provided remediation recommendations before it reached production.
GoldenRace completed its AWS Aurora 3 migration in just two months during the busy holiday season while minimizing downtime. The company saw an immediate 3% reduction in cloud cost across each server with Flexsave for Compute, growing to more than 5% as it scales. Monthly reporting that previously took several days now takes just one hour with the DoiT dashboard. GoldenRace continues leveraging their relationship with DoiT to explore new optimization opportunities, including right-sizing Kubernetes clusters.
Explore how DoiT Cloud Intelligence helps teams improve visibility, governance, and unit economics across cloud environments.
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
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
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
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