Crystal-clear visibility into cloud spend at the workload and tenant level
- Days
- Time to first cost insights after install
- Days
- From install to powerful cost reporting
- Workload & tenant
- Granularity of cost visibility
Innovorder needed to migrate to Google Cloud to access serverless and managed services for handling variable restaurant traffic. With a small DevOps team, they required expert support for complex cluster migrations and multicloud networking challenges while maintaining zero downtime for critical client services.
DoiT provided cloud migration expertise and best practices guidance. The partnership accelerated infrastructure projects from weeks to days, enabled seamless cluster migrations with zero downtime, and implemented cost monitoring with anomaly detection to prevent billing surprises.
DoiT has a broader view on how companies are successfully leveraging new cloud technologies, so it can offer deep expertise to help us use best practices in deploying the many different services we use. As DoiT consultants are the experts, they can help us to get the most cost-effective use from Google Cloud.
Olivier Loverde, CTO, Innovorder
Innovorder has been at the forefront of restaurant technology innovation since 2014. The Paris-based company develops software solutions that empower restaurants, mass caterers, and F&B sector clients to deliver exceptional customer experiences. Working with midsized to large restaurant chains and heavyweight catering operators, Innovorder's solutions serve around 1% of the French population daily. During COVID-19, they helped burger chain Quick pivot to online ordering within one week when physical stores closed.
Innovorder's platform covers everything from loyalty programs and online payments to innovative smart fridges. With demand fluctuating throughout the day during lunch rushes and dinner service, they decided to migrate key services to Google Cloud to leverage SaaS and serverless tools. Using Google Kubernetes Engine for autoscaling and Cloud Functions for serverless computing, they can handle very high order volumes. Their Firestore-powered multiscreen ticket solution enables fast-paced Paris restaurants to process over 2,000 orders daily.
DoiT's expertise proved invaluable for Innovorder's complex infrastructure challenges. One of their first projects involved creating a bridge between Google Cloud and another cloud provider using Terraform. Thanks to DoiT's advice, what would have taken two weeks was completed in two days. DoiT also helped migrate messaging clusters from in-house to automatic deployment without any downtime, critical for clients who rely on Innovorder's services all day, every day.
Beyond time savings, DoiT helps Innovorder optimize costs through intelligent monitoring. The cost anomaly detection feature identified a misconfiguration costing $3,000 daily that could have resulted in $30,000+ monthly overspend if discovered at month-end. DoiT's Cloud Management Platform provides unified cost tracking across all cloud providers, enabling Innovorder to quickly identify and correct billing issues with DoiT and Google Cloud support.
The partnership has enabled Innovorder to focus on speed while building more resilient infrastructure. They've successfully eliminated points of failure and empowered developers, achieving their migration goals at no extra cost thanks to DoiT's zero-cost model. With DoiT's ongoing support, Innovorder maintains a small development team while doubling growth annually and preparing for international expansion.
Explore how Cloud Intelligence™ helps teams improve visibility, governance, and unit economics across cloud environments.
Attribute™'s platform is truly unique. We now have crystal-clear visibility into our cloud spend at the workload and tenant level, and that insight has already led to actionable savings and powerful insights as we further scale our service.
Paul White, VP of Engineering, Shasta Cloud
We have worked with DoiT for many years, and there has been an increasing number of capabilities and features in DoiT Cloud Intelligence. We've embedded features such as Cloud Analytics and Reports in our own FinOps processes, it's become core to what we do.
Martin Lee, Director of Operations
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
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
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
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
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
Attribute™ translates complex cloud bills into actionable, business-centric insights that empower our engineering teams to take true ownership of their costs.
Balamurugan Mohandossgandhi, Head of IT and Infrastructure, PropertyGuru
This has let us get a better idea of what our cost of goods sold really is. It's not every day you come across something that delivers value as quickly as yours did for us. I was seeing useful insights inside the POC, and we had only deployed it to a couple of real clusters.
Jason Moore, Principal DevOps Engineer, Accrete AI
Eliminating the need to tag thousands of resources has freed up my team and we've invested our efforts in enhancing our platform significantly.
Ziv Sivan, VP of Engineering
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
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