Finlex cuts cloud costs 50% and ships production AI with DoiT
- Over 65%
- reduction in cloud infrastructure costs from 2024 - present
- 40%
- cost savings achieved through improved visibility and efficient AI architecture
One-third of the world's population now shops online, accounting for more than 20% of global retail sales annually. For every one of those billions of physical products sold, a corresponding set of product data is required to accurately describe it in a digital storefront. The challenge is that every supplier structures and describes product data differently. Managing this vast and inconsistent data landscape can be a major operational burden for retailers. That's why many leading international retailers turn to Onedot. Its AI-powered platform automates the sourcing, onboarding, enrichment, and syndication of product data at scale. More than 500 million products have already been processed by Onedot's AI, helping retailers improve product discoverability, enhance the customer experience, and significantly reduce operational overhead.
Onedot needed automatic, elastic scaling to maximize compute efficiency and optimize cloud spend without allowing costs to grow unpredictably. The company was having issues with cost management across AWS workloads and needed resource planning and architectural guidance.
DoiT implemented a two-pronged approach: conducting an AWS Well-Architected Review and optimizing resource usage. The solution included implementing Flexsave for Compute to automate AWS Savings Plans coverage, using DoiT Console for deeper visibility, and migrating from Amazon EMR to Amazon EKS after thorough cost analysis.
We were having some issues with cost management across our AWS workloads. We turned to DoiT for help with resource planning and architectural guidance so we could get the most from our data processing on AWS while keeping our cloud bill under control.
Tobias Widmer, Founder and CTO of Onedot
Onedot's first step toward optimizing cloud spend was implementing Flexsave for Compute, automating the management of AWS Savings Plans coverage to continuously maximize commitment-based discounts. This enables Onedot to scale workloads up or down without unexpected bill spikes and without manually adjusting commitments. The automated approach provides predictable cost management while maintaining operational flexibility.
Onedot began using the DoiT Console to gain deeper visibility into AWS cloud usage. Working alongside DoiT consultants, the team implemented automated alerts to detect unusual usage patterns likely to increase costs. With these insights, Widmer and his team collaborated with DoiT to analyze spending patterns and refine AWS infrastructure design to improve cost efficiency and operational performance.
A major strategic discussion centered on Onedot's use of Apache Spark on Amazon EMR. The team evaluated whether migrating to a self-managed Kubernetes cluster—or running Spark on Kubernetes—could reduce cloud expenditure. In collaboration with DoiT, Onedot conducted an in-depth cost comparison of various architectural approaches. Ultimately, the team determined that using Amazon EKS, AWS's managed Kubernetes service, would be more cost-effective than continuing with EMR or managing a self-hosted Kubernetes cluster.
Within the first three months of engagement, Onedot reduced its AWS cloud expenditure by more than 20% through Flexsave for Compute and architectural rebalancing. The company continues working with DoiT to strengthen its security posture in preparation for international ISMS certifications while refining the architecture to improve efficiency, performance, and platform stability. These improvements enable Onedot to process and deliver product data faster and more reliably while operating with a leaner and more cost-efficient cloud infrastructure.
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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
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
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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.
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