Podcast: Play in new window | Download
http://traffic.libsyn.com/sedaily/kubeless_edited.mp3Podcast: Play in new window | Download Modern architectures often consist of containers that run services. Those containers scale up and down depending on the demand for the services. These large software systems often use a technique known as event sourcing, where every change to the system is kept in an event log. When an event on the log is processed, several different data stores might be updated in response.
http://traffic.libsyn.com/sedaily/Google_Cloud_Edited.mp3Podcast: Play in new window | Download Batch and stream processing systems have been evolving for the past decade. From MapReduce to Apache Storm to Dataflow, the best practices for large volume data processing have become more sophisticated as the industry and open source communities have iterated on them. Dataflow and Apache Beam are projects that present a unified batch and stream processing system. A previous episode with Frances
http://traffic.libsyn.com/sedaily/ServerlessArticle_Edited.mp3Podcast: Play in new window | Download “Serverless” usually refers to an architectural pattern where the server side logic is run in stateless compute containers that are event-triggered and ephemeral. Mike Roberts has written a series of articles about serverless computing, in which he discusses theories and patterns around serverless architecture. In this episode, Mike and I discuss how to reimagine our software architecture using functions-as-a-service. We go into the
http://traffic.libsyn.com/sedaily/Scalable_Architecture.mp3Podcast: Play in new window | Download Lee Atchison spent seven years at Amazon working in retail, software distribution, and Amazon Web Services. He then moved to New Relic, where he has spent four years scaling the company’s internal architecture. From his decade of experience at fast growing web technology companies, Lee has written the book Architecting for Scale, from O’Reilly. As an application scales, it becomes significantly more
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.