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http://traffic.libsyn.com/sedaily/ServerlessCD.mp3Podcast: Play in new window | Download Serverless computing reduces the cost of using the cloud. Serverless also makes it easy to scale applications. The downside: building serverless apps requires some mindset shift. Serverless functions are deployed to transient units of computation that are spun up on demand. This is in contrast to the typical model of application delivery–the deployment of an application to a server or a container that
http://traffic.libsyn.com/sedaily/Serverless_Code_Edited.mp3Podcast: Play in new window | Download The unit of computation has evolved from on premise servers to virtual machines in the cloud to containers running in those virtual machines. Serverless computation is another stage in the evolution of computational unit management. With a serverless architecture, a function call to the cloud spins up a transient container, calls the function on that container, and then spins down the container. Ryan
http://traffic.libsyn.com/sedaily/Serverless_Edited.mp3Podcast: Play in new window | Download Virtual machines were the unit of cloud computation for many years. Amazon Web Services pioneered the democratized model of allowing anyone to deploy a service to the cloud, running on a virtual machine on Amazon’s servers. After virtual machines, containers have become the unit of scale in the cloud. We break up our virtualized servers into even smaller units of computation called containers.