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What is Azure Functions?

Dynatrace

What is Azure Functions? Similar to AWS Lambda , Azure Functions is a serverless compute service by Microsoft that can run code in response to predetermined events or conditions (triggers), such as an order arriving on an IoT system, or a specific queue receiving a new message. The growth of Azure cloud computing.

Azure 138
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What Is a Workload in Cloud Computing

Scalegrid

Various forms can take shape when discussing workloads within the realm of cloud computing environments – examples include order management databases, collaboration tools, videoconferencing systems, virtual desktops, and disaster recovery mechanisms. This applies to both virtual machines and container-based deployments.

Cloud 130
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Observability: Modern tools for modern challenges in multicloud environments

Dynatrace

You’re bringing more servers online in the cloud. AI that uses machine learning requires a slower process in order to train its algorithms. And that was well before AWS, Azure, and cloud. At Dynatrace, we use more of a deterministic kind of AI model, which is actually quicker in addressing these types of problems.

Cloud 180
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Optimizing CDN Management Using Terraform

IO River

It’s not just limited to cloud resources like AWS and Azure; Terraform is versatile, extending its capabilities to key performance areas like Content Delivery Network (CDN) management, ensuring efficient content delivery and optimal user experience.‍Started This offers not just an audit train but an “audit trail on steroids.”‍A

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Optimizing CDN Management Using Terraform

IO River

This means that with Terraform, you can manage resources across multiple cloud providers, including AWS, Azure, Google Cloud, and more, using a single tool.‍A This offers not just an audit train but an “audit trail on steroids.”‍A Terraform is a revolution in the way we handle infrastructure.

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Measuring Carbon is Not Enough?—?Unintended Consequences

Adrian Cockcroft

The carbon footprint of a large rack mounted server is order-of-magnitude a ton of carbon a year. Then that capacity is then offered on the spot market, which lowers the spot price, and someone uses those instances for an opportunistic CPU intensive workload like crypto or AI training, which they only run when the cost is very low.

Energy 52
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Generative AI in the Enterprise

O'Reilly

If we asked whether their companies were using databases or web servers, no doubt 100% of the respondents would have said “yes.” A year after the first web servers became available, how many companies had websites or were experimenting with building them? report that the difficulty of training a model is a problem.