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Teamwork Commerce Scales on Kubernetes, Controls Cloud Spend

DoiT Cloud Intelligence™ guided the Kubernetes re-platform and delivered real-time cost visibility and anomaly detection across their cloud stack.

Meet Teamwork Commerce

Teamwork Commerce is a global retail technology company headquartered in Clearwater, Florida, serving enterprise retailers across North America, Europe, Latin America, and Asia-Pacific. Its cloud-based platform powers unified commerce with solutions for point-of-sale, ecommerce, order management, inventory, and customer insights. Teamwork Commerce focuses on flexibility and performance and helps brands streamline retail operations and deliver seamless omnichannel experiences. The company supports prominent names in fashion, electronics, and specialty retail, enabling them to scale and adapt quickly.

The Challenge

Teamwork Commerce's existing infrastructure couldn't consistently meet performance SLOs for its largest newly signed customer, especially during peak events like Black Friday. The team needed to re-platform to Kubernetes for elasticity and reliability. Simultaneously, the finance team faced difficulty maintaining real-time visibility into cloud costs as usage diversified across services like BigQuery and Looker.

The Solution

Teamwork Commerce partnered with DoiT to unlock a product-led automation-driven path to cloud optimization with DoiT Cloud Intelligence™. DoiT delivered intent-aware, product-integrated guidance for Kubernetes adoption. The platform provided real-time cost analytics, anomaly detection, and actionable optimization projects without relying on tickets or time-based consultancy.

Results

Successfully migrated to Kubernetes, enabling performance demands at peak times while maintaining architectural flexibility
Gained real-time visibility and anomaly detection for cloud costs, enabling quick action on spending anomalies
Eliminated inefficiencies through optimization work without overhead of tickets or time-based engagements
Restructured customer agreements transparently to prevent revenue leakage

What I value most is that DoiT Cloud Intelligence isn't just a tool, it actually fits into how we work. We get real-time visibility into costs, and when something's off, we know immediately. Sometimes, it's a bug, sometimes a usage shift, either way, it's something we can act on fast. That kind of feedback loop has made a real difference for both our engineering and finance teams.
Artem Nikulchenko, Chief Software Architect at Teamwork Commerce

Guided expertise, not traditional services

Rather than operating as a services vendor, DoiT delivered intent-aware, product-integrated guidance that helped Teamwork Commerce navigate the early complexities of Kubernetes adoption. Through DoiT Cloud Intelligence™, the engineering team gained direct access to real-time, proactive insights and best practices, with no reliance on tickets or time-based consultancy.

Real-Time Cost Analytics and Anomaly Detection

Teamwork Commerce's finance team quickly embraced Cloud Analytics to slice cloud usage by project and department. When spending anomalies occurred, such as unexpected increases in BigQuery usage, DoiT's real-time anomaly detection flagged them instantly, enabling faster resolution by engineering teams or commercial restructuring by finance. The team discovered that specific customers drove up costs without corresponding billing adjustments and could restructure agreements transparently to prevent revenue leakage.

Actionable Optimization Projects

Beyond cost visibility, DoiT's platform enabled optimization at speed. When spending trends emerged, DoiT Cloud Intelligence didn't just raise alerts, it facilitated immediate collaboration on optimization efforts. The DoiT team didn't just tell them they were overspending, they worked with them to reduce it.

What's Next?

As Teamwork Commerce continues to expand globally and onboard new enterprise customers, the team is exploring deeper integrations between real-time cloud cost signals and engineering workflows. With DoiT, the team aims to keep evolving its architecture and operations, focusing on performance, shared transparency, and governed scale.

See how DoiT helps cloud teams control spend

Explore how DoiT Cloud Intelligence helps teams improve visibility, governance, and unit economics across cloud environments.

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What they say

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

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

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