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

Dynatrace

These functions are executed by a serverless platform or provider (such as AWS Lambda, Azure Functions or Google Cloud Functions) that manages the underlying infrastructure, scaling and billing. Higher latency and cold start issues due to the initialization time of the functions.

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How to maximize serverless benefits and overcome its challenges

Dynatrace

Popular examples include AWS Lambda and Microsoft Azure Functions , but new providers are constantly emerging as this model becomes more mainstream. Reduced latency. By using cloud providers with multiple server sites, organizations can reduce function latency for end users. Optimizes resources.

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What is Serverless Architecture?

cdemi

Whether you choose Azure Functions or AWS Lambda, you cannot easily switch to another. Performance - Serverless Functions that are used less frequently may suffer from warmup response latency, where the infrastructure needs some time to deploy the function. On Public Clouds: Microsoft: Azure Functions.

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Monitoring Serverless Applications

Dotcom-Montior

those resources now belong to cloud providers, such as AWS Lambda, Google Cloud Platform, Microsoft Azure, and others. However, when the time comes for resources to be requested, there can be latency in the time it takes to for that code to start back up. The time it takes between an action and a response is latency.

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Revisiting “Serverless Architectures”

The Symphonia

I was a little restricted in my thinking the first time around and I’ve come to see FaaS as something not quite stateless, since caching state in a Lambda instance that might stick around for 5 hours is a perfectly reasonable idea. I also rewrote the section on Startup Latency since Cold Starts are one of the big “FUD” areas of Serverless.

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What is serverless computing? Driving efficiency without sacrificing observability

Dynatrace

VMware commercialized the idea of virtual machines, and cloud providers embraced the same concept with services like Amazon EC2, Google Compute, and Azure virtual machines. AWS Lambda functions are an example of how a serverless framework works: Developers write a function in a supported language or platform. Pay Per Use.

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O’Reilly serverless survey 2019: Concerns, what works, and what to expect

O'Reilly

Given that Amazon’s AWS Lambda functions are only five years old this November, anyone with more than three years of experience is a very early adopter. latency, startup, mocking, etc.) Integration/testing is harder” ranked as the third biggest worry, noted by 30% of respondents. Custom tooling” ranked No. 1 in tools used.