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DoiT diseñó una arquitectura elástica en AWS con Amazon S3, Kinesis y SageMaker para procesar 10 mil millones de registros al día sin la carga del mantenimiento.
Voyager Labs necesitaba analizar miles de millones de datos y obtener insights accionables a partir de la información recolectada. Procesa 10 mil millones de registros al día, lo que exige soportar al menos 120K eventos por segundo con un volumen diario cercano a los 10 TB.
DoiT International implementó una solución sobre AWS que prioriza la elasticidad, los servicios administrados y la seguridad. La arquitectura se apoya en servicios administrados de AWS como Amazon Kinesis, Kinesis Firehose, Amazon S3 y Amazon SageMaker para la ingesta, el almacenamiento, el procesamiento y la analítica de datos.
En un día promedio se recolectan 10 mil millones de registros. Con un promedio de 1 KB por registro, el volumen diario asciende a cerca de 10 TB. La ingesta de datos debe soportar al menos 120K eventos por segundo para seguir el ritmo del volumen recolectado.
Voyager Labs necesitaba analizar miles de millones de datos y obtener insights accionables a partir de la información recolectada. La escala del procesamiento exigía una plataforma robusta, capaz de manejar volúmenes masivos sin sacrificar el rendimiento ni la eficiencia en costos.
Tras una evaluación cuidadosa, DoiT International priorizó tres atributos clave: elasticidad para escalar con facilidad, servicios administrados de AWS para acelerar el desarrollo y seguridad mediante Amazon Identity and Access Management para una gobernanza centralizada. La nube de AWS aporta los componentes básicos para una plataforma segura, flexible y rentable de recolección, almacenamiento y analítica de datos.
Tras la entrega de la solución por DoiT International, Voyager Labs hoy cuenta con clústeres de Spark totalmente administrados y escalamiento elástico, una reducción del 300% en costos de capacidad de disco gracias a la migración a Amazon S3, ingesta de datos serverless con Amazon Kinesis y Kinesis Firehose, y una experiencia de investigación consistente con Amazon SageMaker.
Conoce cómo Cloud Intelligence™ ayuda a los equipos a mejorar la visibilidad, la gobernanza y la unit economics en entornos cloud.
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David Adkins, Director of Software and Platform Engineering
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DevOps Lead, Software Projects
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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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