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CB4 Boosts ML Performance 30%

DoiT helped the retail AI provider build an automated Google Cloud data pipeline on Composer and migrate to N2 compute for faster, more cost-efficient scaling.

Meet CB4

CB4 helps brick-and-mortar retailers grow sales by making the in-store experience easier for store teams and shoppers. The company uses machine learning to help store teams make quick fixes like taking products out of backstock or ordering more units to gain new sales and satisfy shoppers. CB4's solution sends stores a list of recommendations for SKUs they can sell much more of, with each store's unique selling patterns and operational conditions determining which products are recommended.

The Challenge

CB4 lacked a robust central data pipeline and used different custom scripts for each client, limiting growth. The team needed to move large amounts of data quickly while ensuring security and GDPR compliance. Growing cloud spend across multiple regions required better tracking and optimization to identify budget issues.

The Solution

CB4 leveraged Google Cloud Composer with Apache Airflow to create a scalable, automated data pipeline for all customers. They used Google Compute Engine for ML model hosting and implemented DoiT's Cloud Management Platform for cost analysis and prediction. DoiT provided hands-on support for implementation and migration to N2 machine types.

Results

Achieved 30% performance increase in machine learning operations
Built fully automated data pipeline scalable for all customers
Improved cost visibility and tracking across multiple regions
Enhanced data security and GDPR compliance capabilities

To master technology, you really have to learn its basics first, and learning from experience is usually the best. As our go-to partner for all things Google Cloud, DoiT International provides that experience, helping us save time, while making it easier to explore and implement new technologies.
Rafi Rainshtein, Vice President of R&D and General Manager Israel, CB4

Building a secure and flexible data pipeline

In 2019, CB4 lacked a robust central data pipeline and used different custom scripts for each client, limiting growth during expansion. The team leveraged Google Cloud Composer with Apache Airflow to create a scalable, automated data pipeline that works for all customers. The new system ensures data security and GDPR compliance by applying parameters and geo-managing data to keep EU data in the EU. DoiT International provided crucial support during the difficult implementation process.

Optimizing cloud spend

As heavy users of Google Compute Engine across different regions, CB4 faced growing cloud costs and needed better tracking and optimization. Without transparency, the team couldn't identify budget issues, wasting money when something went wrong in the stack. CB4 implemented DoiT's Cloud Management Platform to analyze and predict cloud costs, balancing company growth with cost-efficiency and enabling quick identification and resolution of issues.

Performance breakthrough

DoiT International helped CB4 migrate from N1 to N2 machine types within Google Compute Engine, resulting in a measurable 30% performance increase in machine learning operations. With the streamlined data pipeline, improved ML performance, and better cost visibility, CB4 is ready to scale their AI-powered retail revolution globally. The team can easily integrate new retailers and ensure high availability during peak times and scaling periods.

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What they say

On integrating DataHub, the DoiT team was very hands-on to the point where DoiT support put together the first ingestion script and pipeline to unlock us.

Kyle Espinola, Head of Platform Engineering

“PerfectScale gives us the confidence to automate Kubernetes optimization while letting our engineers focus on building what matters.”

Josh Zarrabi, Infrastructure Engineer

“Without PerfectScale by DoiT, I don't know how we would do it. We'd have to have twice the number of people on my team to stay on top of it. With PerfectScale, we can focus on the more strategic issues.”

David Adkins, Director of Software and Platform Engineering

Connecting IBM and AWS privately was the piece we needed to get right, and we wanted to move faster on it than we could on our own. DoiT worked through the options with us, found the subnet overlap that was breaking the routing, and made it stable. That unblocked everything else.

DevOps Lead, Software Projects

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

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CB4 Boosts ML Performance 30%

Meet CB4

The Challenge

The Solution

Results

Building a secure and flexible data pipeline

Optimizing cloud spend

Performance breakthrough

See how DoiT helps cloud teams control spend

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