AWS Azure Logistics 
Dynatrace
AUGUST 17, 2021
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.
Dynatrace
AUGUST 17, 2021
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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Dynatrace
JULY 8, 2019
If you’re spending the majority of your time on data center and hardware logistics, it doesn’t leave a lot of time to build better features, keep browsers updated, or satisfy your customers. With Cloud, we are leveraging the largest cloud providers’ locations, including AWS, Azure, Alibaba and Google coming very soon.
ScaleOut Software
JANUARY 9, 2020
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.
ScaleOut Software
JANUARY 9, 2020
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.
ScaleOut Software
JANUARY 9, 2020
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.
O'Reilly
FEBRUARY 18, 2020
From pre-built libraries for linear or logistic regressions, decision trees, naïve Bayes, k-means, gradient-boosting, etc., This is the logic of cloud native design: specific deployment contexts will still matter, of course—which features or constraints do developers need to take into account when they’re developing for AWS?
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