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Posts with tag: "serverless"

Wrapping Up Serverless NYC 2018

The serverless revolution isn’t coming soon, it’s already here! Our recent Serverless NYC 2018 show was packed due to a wide range of great speakers. After a full day of serverless insights, our big takeaway is that serverless looks primed to become the fastest growing new application architecture to be adopted for both new and...

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Take Iguazio Out for a Spin in the Cloud!

Iguazio's Real-time Analytics and AI Now Available for Trial in the Cloud We are excited to announce Iguazio is now offering a 14-day free trial of our platform's cloud version. Experience real-time performance across multi-variant data sets and accelerate the delivery of intelligent applications without the cost and capacity limitations of in-memory technologies with Iguazio's...

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Using Containers As Mini-VMs is NOT Cloud-Native!

Cloud and SaaS companies invented the notion of micro-services and the “cloud-native” model to gain efficient scaling along with continuous development and operations. Legacy approaches don’t work for global services like Facebook, Google or eBay, which are always on. Containers and Docker were created as the ultimate packaging for such micro-services and new orchestration platforms...

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Continuous Analytics: Real-time Meets Cloud-Native

iguazio combines real-time analytics, concurrent processing and cloud-native agility. We started working on this completely new approach to data management after witnessing countless customers struggle with traditional big data and analytics solutions. As a result, we are seeing that iguazio’s platform leads to magnitudes faster time to insights, faster time to market, greater simplicity and...

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Serverless: Background, Challenges and Future

Serverless computing is the latest buzz, driven by the digital economy’s demand for instant results without the hassle. The serverless concept is a prepacked flavor of modern cloud-native architecture which decomposes applications to multiple stateless and elastic micro-service tiers. Micro-services shrink or grow to satisfy demand; they are restarted in case of a resource failure...

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