Meet Onedot
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.
The Challenge
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.
The Solution
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.
Results
- Reduced AWS cloud expenditure by more than 20% within three months
- Automated management of AWS Savings Plans coverage for continuous cost optimization
- Improved platform stability and performance through architectural refinements
- Enabled leaner, more cost-efficient operations while scaling business growth
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
Automating AWS Instance Capacity with Flexsave for Compute
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.
Continuous Infrastructure Refinement
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.
Getting the Big Architectural Decisions Right
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.
Results and Future Growth
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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What they say
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
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