How Pace Revenue halved compute costs and bolstered its algorithm with Google Cloud

December 2020

Hotel pricing software company cuts infrastructure spend by 50% while improving algorithm performance through DoiT's cloud optimization expertise

50%: reduction in compute costs
80%: of nodes migrated to preemptible VMs

“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

The Challenge

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.

The Solution

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.

Results

Cut compute costs by more than 50% with minimal effort
Swapped 80% of on-demand nodes for preemptible VMs at 20% of the price
Freed up resources to improve algorithm capability and run frequency
Gained direct access to cloud engineering experts for ongoing support

Meet Pace Revenue

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.

Finding the Right Partner

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.

Infrastructure Optimization

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.

Implementation and Results

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.

Ongoing Partnership Value

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.

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Story overview

What they say

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

When we started working with DoiT, we deployed Flexsave to save time and reduce complexity. We still use it today. But what really stands out is the expert support. Having someone to collaborate with on deep cloud cost topics, someone who really understands the nuances, is incredibly valuable.

Jesper Terkelsen, CTO at Monta

DoiT's Cloud Accelerator turned our AI idea into a shipped product, saving at least three months of development and delivering reliable, explainable insights our customers trust.

Scott Desgrosseilliers, CEO and co-founder, Wicked Reports

DaySmart

Working with DoiT gave us the speed of a startup and the rigor of an enterprise R&D lab. We launched an AI feature in ninety days with zero engineering lift, unified our cloud visibility across multiple products and built a foundation to scale AI responsibly.

Tim Green, SVP of AI, DaySmart

Our AWS environment had grown rapidly, and complexity was outpacing control. DoiT helped us bring structure and clarity, aligning financial and technical decisions through a shared foundation.

Maurizio Trezzi, Director of IT, Vivaticket

DoiT gives us contextual insight into what's happening in our cloud environment. That helps us ensure we're meeting customer needs while managing our costs. It's that central pane of glass that lets engineering and finance work together, powered by the technology and backed by DoiT's people.

Matt Warner, Co-Founder and CEO at Blumira

For anyone considering DoiT: do it. The tools pay for themselves. We've reduced costs, improved visibility, and built a platform that can scale globally with control and confidence.

Matej Serbec, CTO, TradeLocker

DoiT didn't just give us a product – they gave us clarity. Cloud Diagrams has helped our teams understand what we're running, why we're running it, and where we can improve. The real-time visibility is a game changer for engineering, leadership, and everything in between.

Donnie Green, VP of Platform Engineering, Bloomerang

Sentric Music

With maybe 5-10 minutes, Ava had guided me right down into the low-level detail of the services that we were running in our compute environment, named the exact instances that were starting to chew through our money, produced a report for me that showed that this was almost a direct correlation to the cost growth that we were seeing, which meant that we were able to get on top of it pretty much immediately.

Stephen Roughley, Head of Engineering at Sentric Music

Atadex

With DoiT Cloud Intelligence™ managing our procurement and DoiT's engineers acting as an extension of my team, my costs are down, my efficiency is up, and my profitability is up

Mitch Bernet, Founder and CEO at Atadex

Skyral

A key takeaway for me working with DoiT is that the level of professionalism is extremely high. They're an obvious choice if you're looking for a partner to help implement best practices in your cloud environment and reduce cost.

Oliver Young, Senior Technical Manager at Skyral

We knew WhatsApp was the perfect channel for global remittances, but building secure, real-time conversations across languages was a massive challenge. DoiT helped us break through. They didn't just advise, they helped us architect and launch a GenAI solution that's 100x more powerful than what we had. We're now in a completely different league.

Jaime Gonzalez-Gasque, CEO, Reimagination Technologies

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