際際滷shows by User: AlexanderDemidko / http://www.slideshare.net/images/logo.gif 際際滷shows by User: AlexanderDemidko / Wed, 12 Sep 2018 15:11:54 GMT 際際滷Share feed for 際際滷shows by User: AlexanderDemidko Fluence: A Decentralized Data Processing Engine /slideshow/fluence-a-decentralized-data-processing-engine/114077865 slideshare-180912151154
Fluence is the efficient decentralized data processing network where anyone can install and run the compute node. Fluence attacks the real-time execution / decentralized security / cost efficiency trilemma using a hybrid real-time + batch approach. This presentation covers the motivation to have a specialized data processing network and the tradeoffs made.]]>

Fluence is the efficient decentralized data processing network where anyone can install and run the compute node. Fluence attacks the real-time execution / decentralized security / cost efficiency trilemma using a hybrid real-time + batch approach. This presentation covers the motivation to have a specialized data processing network and the tradeoffs made.]]>
Wed, 12 Sep 2018 15:11:54 GMT /slideshow/fluence-a-decentralized-data-processing-engine/114077865 AlexanderDemidko@slideshare.net(AlexanderDemidko) Fluence: A Decentralized Data Processing Engine AlexanderDemidko Fluence is the efficient decentralized data processing network where anyone can install and run the compute node. Fluence attacks the real-time execution / decentralized security / cost efficiency trilemma using a hybrid real-time + batch approach. This presentation covers the motivation to have a specialized data processing network and the tradeoffs made. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/slideshare-180912151154-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Fluence is the efficient decentralized data processing network where anyone can install and run the compute node. Fluence attacks the real-time execution / decentralized security / cost efficiency trilemma using a hybrid real-time + batch approach. This presentation covers the motivation to have a specialized data processing network and the tradeoffs made.
Fluence: A Decentralized Data Processing Engine from Alexander Demidko
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仆舒仍亳亳从舒 仆舒亟 仗亠舒弍舒亶舒仄亳 于 亠舒仍仆仂仄 于亠仄亠仆亳 /AlexanderDemidko/ss-65362689 alexanderdemidko-codefest16x9-160825154730
A lambda architecture for analytics story.]]>

A lambda architecture for analytics story.]]>
Thu, 25 Aug 2016 15:47:30 GMT /AlexanderDemidko/ss-65362689 AlexanderDemidko@slideshare.net(AlexanderDemidko) 仆舒仍亳亳从舒 仆舒亟 仗亠舒弍舒亶舒仄亳 于 亠舒仍仆仂仄 于亠仄亠仆亳 AlexanderDemidko A lambda architecture for analytics story. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/alexanderdemidko-codefest16x9-160825154730-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> A lambda architecture for analytics story.
仆舒仍亳亳从舒 仆舒亟 仗亠舒弍舒亶舒仄亳 于 亠舒仍仆仂仄 于亠仄亠仆亳 from Alexander Demidko
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Autoscaling for fun and profit /slideshow/autoscaling-for-fun-and-profit/65362358 alexanderdemidko-moscowscala-160825153743
A story of how we have implemented our own autoscaling for real-time data processing on AWS with help of Apache Kafka, Apache Samza, Druid and bits of game theory and achieved almost 2x hardware use reduction.]]>

A story of how we have implemented our own autoscaling for real-time data processing on AWS with help of Apache Kafka, Apache Samza, Druid and bits of game theory and achieved almost 2x hardware use reduction.]]>
Thu, 25 Aug 2016 15:37:43 GMT /slideshow/autoscaling-for-fun-and-profit/65362358 AlexanderDemidko@slideshare.net(AlexanderDemidko) Autoscaling for fun and profit AlexanderDemidko A story of how we have implemented our own autoscaling for real-time data processing on AWS with help of Apache Kafka, Apache Samza, Druid and bits of game theory and achieved almost 2x hardware use reduction. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/alexanderdemidko-moscowscala-160825153743-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> A story of how we have implemented our own autoscaling for real-time data processing on AWS with help of Apache Kafka, Apache Samza, Druid and bits of game theory and achieved almost 2x hardware use reduction.
Autoscaling for fun and profit from Alexander Demidko
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