Remove Azure Remove Ecommerce Remove Scalability
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What is Kubernetes? Orchestrating the world at the age of a first grader

Dynatrace

Two years later, I came across that same customer at the AWS re:Invent conference , who then told me they were in the midst of a big project, moving their eCommerce to AWS , targeting running a big chunk of it in Kubernetes next year. . How do you make it scalable? . AKS (Microsoft Azure) . IKS (IBM Cloud) .

Google 173
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AWS EKS Monitoring as a Self-Service with Dynatrace

Dynatrace

Instead of presenting you with a handful of random screenshots from our demo environment I reached out to Robert, a close friend of mine, who leads a development team with the current task to re-architect and re-platform their multi-tenant SaaS-based eCommerce platform. Their technology stack looks like this: Spring Boot-based Microservices.

AWS 170
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Adding New Capabilities for Real-Time Analytics to Azure IoT

ScaleOut Software

The Microsoft Azure IoT ecosystem offers a rich set of capabilities for processing IoT telemetry, from its arrival in the cloud through its storage in databases and data lakes. Acting as a switchboard for incoming and outgoing messages, Azure IoT Hub forms the core of these capabilities.

IoT 52
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What is Kubernetes? Orchestrating the world at the age of a first grader

Dynatrace

Two years later, I came across that same customer at the AWS re:Invent conference , who then told me they were in the midst of a big project, moving their eCommerce to AWS , targeting running a big chunk of it in Kubernetes next year. . How do you make it scalable? . AKS (Microsoft Azure) . IKS (IBM Cloud) .

Google 130
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The Amazing Evolution of In-Memory Computing

ScaleOut Software

Going back to the mid-1990s, online systems have seen relentless, explosive growth in usage, driven by ecommerce, mobile applications, and more recently, IoT. From Distributed Caches to Real-Time Digital Twins. For more than two decades, the answer to this challenge has proven to be a technology called in-memory computing.

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The Amazing Evolution of In-Memory Computing

ScaleOut Software

Going back to the mid-1990s, online systems have seen relentless, explosive growth in usage, driven by ecommerce, mobile applications, and more recently, IoT. From Distributed Caches to Real-Time Digital Twins. For more than two decades, the answer to this challenge has proven to be a technology called in-memory computing.

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Real-Time Digital Twins: A New Approach to Streaming Analytics

ScaleOut Software

Likewise, the ecommerce application can keep each shopper’s recent product searches along with brand preferences and demographics in her/his digital twin, enabling timely suggestions targeted to each shopper. They are made possible by scalable, in-memory computing technology hosted on clusters of cloud-based servers.