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Azure Well-Architected Framework: What it is and how to tame it with AI and automation

Dynatrace

As organizations adopt microservices architecture with cloud-native technologies such as Microsoft Azure , many quickly notice an increase in operational complexity. To guide organizations through their cloud migrations, Microsoft developed the Azure Well-Architected Framework. What is the Azure Well-Architected Framework?

Azure 212
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Developing Real-Time Digital Twins for Cloud Deployment

ScaleOut Software

To make this possible, the Azure-based streaming service hosts a real-time digital twin for each data source. Digital twin models used in product lifecycle management (PLM) or in IoT device modeling (for example, Azure Digital Twins ) just describe the properties of physical entities, usually to allow querying by business processes.

Cloud 52
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Developing Real-Time Digital Twins for Cloud Deployment

ScaleOut Software

To make this possible, the Azure-based streaming service hosts a real-time digital twin for each data source. Digital twin models used in product lifecycle management (PLM) or in IoT device modeling (for example, Azure Digital Twins ) just describe the properties of physical entities, usually to allow querying by business processes.

Cloud 52
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Tasktop Viz launch – DevOps Enterprise Summit 2019 – Day Two Recap

Tasktop

Scott Havens, Senior Director of Engineering at Mode Operandi, highlighted the benefits of event-based systems over legacy approaches, and how software architecture should be just as beautiful as the clothes on sale. Just look at how ugly that service-oriented architecture is!”

DevOps 8
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What is APM?

Dynatrace

Application architecture to gain insights into how application architecture changes impact performance and user experience. Point solutions only provide a limited view of a company’s application architecture. This may result in unnecessary troubleshooting exercises and finger-pointing, not to mention wasted time and money.

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MLOps and DevOps: Why Data Makes It Different

O'Reilly

but to reference concrete tooling used today in order to ground what could otherwise be a somewhat abstract exercise. Software Architecture. To make the data scientists maximally productive, we want to provide supporting software architecture in terms of APIs and libraries that allow them to focus on data, not on the machines.

DevOps 141