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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. Sign up for a free trial.

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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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Stuff The Internet Says On Scalability For August 17th, 2018

High Scalability

coryodaniel : Rewrote an #AWS APIGateway & #lambda service that was costing us about $16000 / month in #elixir. 12 million requests / hour with sub-second latency, ~300GB of throughput / day. They'll love you even more. million : lost in ATM malware hack; $1.5 Its running in 3 nodes that cost us about $150 / month. myelixirstatus

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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. Amazon: AWS Lambda. Google: Google Cloud Functions.

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Revisiting “Serverless Architectures”

The Symphonia

Fast forward to two years later and the article has had more than half a million visits, regularly appears in the top five Google search results for “Serverless”, and helped launched Symphonia ?—?my I also rewrote the section on Startup Latency since Cold Starts are one of the big “FUD” areas of Serverless. my company with John Chapin.

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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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Fast key-value stores: an idea whose time has come and gone

The Morning Paper

After all, we’ve been doing that forever with the 2nd-level cache of ORMs , and it is highly encouraged in e.g. the AWS Lambda programming model — which was born on the cloud— to help mitigate function start-up times. The network latency of fetching data over the network, even considering fast data center networks. Who knew! ;).

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