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
Pace Revenue provides machine learning-powered software that automates hotel pricing decisions to maximize revenues. The software uses algorithms to set optimal room rates based on demand fluctuations and market factors, increasing hotel revenues by 10% on average. Founded in 2017, the company serves forward-thinking hospitality clients who trust the technology to make business-critical pricing decisions.
Pace Revenue needed to optimize their Google Cloud infrastructure costs while maintaining performance of their machine learning pricing engine. The lean IT team lacked time to establish cloud best practices and wanted to identify untapped savings potential. When COVID-19 hit, reducing cloud spend became even more critical for the business.
DoiT provided a comprehensive review of Pace Revenue's Google Cloud configuration and identified opportunities to use preemptible VMs instead of on-demand compute nodes. The team implemented DoiT's recommendations to reorganize their architecture for resilience while leveraging lower-cost preemptible instances on Google Kubernetes Engine.
We no longer have to spend time understanding how Google Cloud works because DoiT does it for us. Combined with the compute savings, we can use these resources to make our algorithm more capable and run it more frequently. And that adds directly to our customers' bottom line.
Matt Yule-Bennett, Chief Technology Officer
Matt Yule-Bennett sought a partner that could provide sustainable cloud expertise and affordability. DoiT's business model stood out because consulting and technical support came included at zero cost when purchasing cloud services through them. The team went above and beyond from the start, providing responsive support and demonstrating deep cloud expertise.
DoiT conducted a comprehensive review of Pace Revenue's Google Cloud configuration and identified major savings opportunities. The key recommendation involved migrating workloads from on-demand compute nodes to preemptible VMs on Google Kubernetes Engine. DoiT showed the team how to reorganize their architecture for resilience while leveraging these lower-cost instances that operate at 20% of regular pricing.
The Pace Revenue team implemented all suggested infrastructure changes in less than a week. By swapping 80% of on-demand nodes for preemptible VMs, they cut their compute bill in half almost immediately. This represented a reduction of more than 50% in overall compute costs with minimal effort, freeing up resources to improve algorithm capability and run frequency.
Beyond cost savings, Pace Revenue gained direct access to reliable cloud engineering experts for any challenges. The partnership enabled the team to build a new analytics platform powered by Google BigQuery, helping hotel operators visualize data for better decision-making. With DoiT's ongoing support, the lean IT team can focus on innovation while staying at the forefront of cloud technology.
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
Let us show you what ships this week.