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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

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

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

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