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Sunday Cuts Cloud Costs 15% While Scaling Fast

DoiT optimizes Sunday's Google Cloud stack across GKE, BigQuery, and Cloud SQL, speeding technical implementation by 25%.

Cloud Intelligence™
Sunday

Meet Sunday

Sunday transforms restaurant dining with QR code-based payments that allow diners to pay their bill in as little as 10 seconds. The platform provides a checkout experience that matches frictionless online retail in brick and mortar restaurants. Founded mid-pandemic by restaurateurs for restaurateurs, Sunday offers Pay At Table, ordering, ratings, and loyalty programs as part of a complete checkout solution. The company has signed up more than 5,000 leading hospitality brands across France, the United Kingdom, and the United States in just 18 months.

The Challenge

Sunday needed to optimize their Google Cloud infrastructure as they moved from proof of concept to production. As a lean startup with limited resources, they required a strategic partner to simplify their technology platform while planning for rapid growth and scale.

The Solution

DoiT provided strategic guidance and cost optimization for Sunday's Google Cloud infrastructure. Using Google Kubernetes Engine, BigQuery, Cloud SQL, and Pub/Sub, Sunday meets monthly with DoiT for strategic discussions. DoiT's Cloud Management Platform and Slack support provide immediate assistance when needed.

Results

  • Achieved 15% savings on cloud costs through DoiT's optimization strategies
  • Increased technical implementation speeds by 25% with strategic guidance
  • Gained cost transparency and simplified planning across all Google Cloud spend
  • Established foundation for improved cloud governance and security

One of the most important discussions we've been having with DoiT is about cloud governance. Our end goal is to get full visibility into our platform and the data flows in and out of it. That means clear technical validation, proven compliance, cost optimizations, and improved security.

Antoine Jacoutot, VP Platform Engineering, Sunday

What's Next

Sunday is preparing for faster growth into new markets in 2023, consolidating current infrastructure to handle rapid expansion and additional products. The company is developing new features to make checkout experiences even smoother. Long-term discussions with DoiT focus on cloud governance, aiming for full platform visibility and data flow transparency. This includes clear technical validation, proven compliance, cost optimizations, and improved security as Sunday builds foundations for its next iteration.

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What they say

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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

Hippo

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

Island

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

Claroty

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

Salt Security

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

PropertyGuru

Attribute™ translates complex cloud bills into actionable, business-centric insights that empower our engineering teams to take true ownership of their costs.

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Accrete AI

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