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DoiT ha progettato un'architettura AWS elastica con Amazon S3, Kinesis e SageMaker per elaborare 10 miliardi di record al giorno, senza il peso della manutenzione.
Voyager Labs aveva bisogno di analizzare miliardi di data point per ricavare insight approfonditi e azionabili dai dati raccolti. L'azienda elabora 10 miliardi di record al giorno e richiede il supporto di almeno 120.000 eventi al secondo, con un volume giornaliero di circa 10 TB.
DoiT International ha realizzato una soluzione basata su AWS che mette al primo posto elasticità, servizi gestiti e sicurezza. L'architettura sfrutta i servizi gestiti AWS — tra cui Amazon Kinesis, Kinesis Firehose, Amazon S3 e Amazon SageMaker — per ingestione, archiviazione, elaborazione e analisi dei dati.
In una giornata tipo vengono raccolti 10 miliardi di record. Con una media di 1 KB per record, il volume giornaliero di dati raccolti è di circa 10 TB. L'ingestione deve sostenere almeno 120.000 eventi al secondo per stare al passo con la mole di dati raccolti.
Voyager Labs aveva bisogno di analizzare miliardi di data point e ricavare insight approfonditi e azionabili dai dati raccolti. La scala dell'elaborazione richiedeva una piattaforma solida, capace di gestire volumi enormi senza compromettere prestazioni ed efficienza dei costi.
Dopo un'attenta valutazione, DoiT International ha dato priorità a tre caratteristiche chiave: elasticità per uno scaling semplice, servizi gestiti AWS per accelerare lo sviluppo e sicurezza tramite Amazon Identity and Access Management per una governance centralizzata. AWS Cloud offre i mattoni costitutivi per una piattaforma di raccolta, archiviazione e analisi dei dati sicura, flessibile ed economica.
Dopo la consegna della soluzione da parte di DoiT International, Voyager Labs può contare su cluster Spark completamente gestiti con scaling elastico, una riduzione del 300% dei costi sulla capacità disco grazie alla migrazione ad Amazon S3, ingestione dati serverless con Amazon Kinesis e Kinesis Firehose e un'esperienza di ricerca coerente con Amazon SageMaker.
Veda come Cloud Intelligence™ aiuta i team a migliorare visibilità, governance e unit economics negli ambienti cloud.
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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
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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.
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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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