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What is serverless computing? Driving efficiency without sacrificing observability

Dynatrace

The phrase “serverless computing” appears contradictory at first, but for years now, successful companies have understood the benefit of using serverless technologies to streamline operations and reduce costs. So what exactly does “serverless” mean, and how can your organization benefit from it?

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Full visibility into your serverless applications with AI-powered Azure Functions monitoring (GA)

Dynatrace

Following the innovation of microservices, serverless computing is the next step in the evolution of how applications are built in the cloud. Serverless computing is a computing model that “allows you to build and run applications and services without thinking about servers.”. Azure Functions in a nutshell.

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Build and operate multicloud FaaS with enhanced, intelligent end-to-end observability

Dynatrace

As companies accelerate digital transformation, they implement modern cloud technologies like serverless functions. According to Flexera , serverless functions are the number one technology evaluated by enterprises and one of the top five cloud technologies in use at enterprises. What are serverless applications?

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Full visibility into your serverless applications with AI-powered Azure Functions monitoring (GA)

Dynatrace

Following the innovation of microservices, serverless computing is the next step in the evolution of how applications are built in the cloud. Serverless computing is a computing model that “allows you to build and run applications and services without thinking about servers.”. Azure Functions in a nutshell.

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Monitoring Serverless Applications

Dotcom-Montior

Serverless. Well, to start, serverless, or serverless computing , doesn’t really mean there aren’t servers involved, because there are, rather it refers to the fact that the responsibility of having to manage, scale, provision, maintain, etc., Benefits of a Serverless Model. Disadvantages of a Serverless Model.

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Common use-cases for AWS Lambda in the enterprise (and how to get observability for them)

Dynatrace

This means that there is no need to provision or manage servers (or even containers). Also, “serverless” means more than just Lambda functions. When using Lambda, you might soon end up using more serverless offerings, like databases, which makes emulating the same environment locally even harder. Auto scaling. Failure retries.

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Common use-cases for AWS Lambda in the enterprise (and how to get observability for them)

Dynatrace

This means that there is no need to provision or manage servers (or even containers). Also, “serverless” means more than just Lambda functions. When using Lambda, you might soon end up using more serverless offerings, like databases, which makes emulating the same environment locally even harder. Auto scaling. Failure retries.

Lambda 226