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DoiT hat eine elastische AWS-Architektur mit Amazon S3, Kinesis und SageMaker entworfen, die täglich 10 Milliarden Datensätze verarbeitet – ohne Wartungsaufwand.
Voyager Labs wollte Milliarden Datenpunkte analysieren und tiefgehende, handlungsrelevante Erkenntnisse aus den erfassten Daten gewinnen. Täglich fallen 10 Milliarden Datensätze an – das erfordert mindestens 120.000 Events pro Sekunde bei rund 10 TB Datenvolumen pro Tag.
DoiT International hat eine AWS-Lösung umgesetzt, die auf Elastizität, Managed Services und Sicherheit ausgerichtet ist. Die Architektur nutzt AWS Managed Services wie Amazon Kinesis, Kinesis Firehose, Amazon S3 und Amazon SageMaker für Datenerfassung, Speicherung, Verarbeitung und Analyse.
Pro Tag werden im Schnitt 10 Milliarden Datensätze erfasst. Bei durchschnittlich 1 KB pro Datensatz ergibt das ein tägliches Datenvolumen von rund 10 TB. Die Datenerfassung muss mindestens 120.000 Events pro Sekunde verarbeiten, um mit dem Aufkommen Schritt zu halten.
Voyager Labs wollte Milliarden Datenpunkte analysieren und tiefgehende, handlungsrelevante Erkenntnisse aus den erfassten Daten gewinnen. Diese Datenmengen verlangen nach einer robusten Plattform, die enorme Volumina bewältigt und dabei Performance und Kosteneffizienz im Griff behält.
Nach sorgfältiger Evaluierung hat DoiT International drei Schwerpunkte gesetzt: Elastizität für einfache Skalierung, AWS Managed Services für mehr Entwicklungstempo sowie Sicherheit durch Amazon Identity and Access Management für eine zentrale Governance. Die AWS Cloud liefert die Bausteine für eine sichere, flexible und kosteneffiziente Plattform zur Datenerfassung, Speicherung und Analyse.
Nach der Umsetzung durch DoiT International profitiert Voyager Labs von vollständig verwalteten Spark-Clustern mit elastischer Skalierung, 300 % geringeren Kosten für Speicherkapazität durch die Migration auf Amazon S3, serverloser Datenerfassung mit Amazon Kinesis und Kinesis Firehose sowie einer konsistenten Forschungsumgebung mit Amazon SageMaker.
Erfahren Sie, wie Cloud Intelligence™ Teams dabei hilft, Transparenz, Governance und Unit Economics in Cloud-Umgebungen zu verbessern.
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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
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
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