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The Next Generation in Logistics Tracking with Real-Time Digital Twins

ScaleOut Software

Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications in operational environments such as these require. The post The Next Generation in Logistics Tracking with Real-Time Digital Twins appeared first on ScaleOut Software.

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The Next Generation in Logistics Tracking with Real-Time Digital Twins

ScaleOut Software

Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications such as these require. The post The Next Generation in Logistics Tracking with Real-Time Digital Twins appeared first on ScaleOut Software.

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The Next Generation in Logistics Tracking with Real-Time Digital Twins

ScaleOut Software

Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications in operational environments such as these require. It also shows real-time aggregate results being fed to displays for immediate consumption by operations managers.

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What are microservices? An agile architecture for software development

Dynatrace

Microservices are run using container-based orchestration platforms like Kubernetes and Docker or cloud-native function-as-a-service (FaaS) offerings like AWS Lambda, Azure Functions, and Google Cloud Functions, all of which help automate the process of managing microservices. Focused on delivering business value. Complexity.

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What are microservices? An agile architecture for software development

Dynatrace

Microservices are run using container-based orchestration platforms like Kubernetes and Docker or cloud-native function-as-a-service (FaaS) offerings like AWS Lambda, Azure Functions, and Google Cloud Functions, all of which help automate the process of managing microservices. Focused on delivering business value. Complexity.

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The future of synthetic testing is in the cloud

Dynatrace

And the last thing you want to do with synthetic is introduce false positives (the bane of all synthetic testing) into the system, and yet this was happening too often. With Cloud, we are leveraging the largest cloud providers’ locations, including AWS, Azure, Alibaba and Google coming very soon.

Cloud 201
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5 key areas for tech leaders to watch in 2020

O'Reilly

From pre-built libraries for linear or logistic regressions, decision trees, naïve Bayes, k-means, gradient-boosting, etc., Infrastructure and ops usage was the fastest growing sub-topic under the generic systems administration topic. Along with R , Python is one of the most-used languages for data analysis.