Tag Serverless

Serverless Systems with Eduardo Laureano

http://traffic.libsyn.com/sedaily/2018_02_22_MicrosoftServerless.mp3Podcast: Play in new window | Download On Software Engineering Daily, we have been covering the “serverless” movement in detail. For people who don’t use serverless functions, it seems like a niche. Serverless functions are stateless, auto-scaling, event driven blobs of code. You might say “serverless sounds kind of cool, but why don’t I just use a server? It’s a paradigm I’m used to.” Serverless is exciting not because of

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Serverless Applications with Randall Hunt

http://traffic.libsyn.com/sedaily/AWSLambda.mp3Podcast: Play in new window | Download Developers can build networked applications today without having to deploy their code to a server. These “serverless” applications are constructed from managed services and functions-as-a-service. Managed services are cloud offerings like database-as-a-service, queueing-as-a-service, or search-as-a-service. These managed services are easy to use. They take care of operational burdens like scalability and outages. But managed services typically solve a narrow use case. You can’t

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Serverless Scheduling with Rodric Rabbah

http://traffic.libsyn.com/sedaily/ServerlessSchedulingIBM.mp3Podcast: Play in new window | Download Functions as a service are deployable functions that run without an addressable server. Functions as a service scale without any work by the developer. When you deploy a function as a service to a cloud provider, the cloud provider will take care of running that function whenever it is called. You don’t have to worry about spinning up a new machine and monitoring

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How IBM Runs Its Cloud with Jason McGee

http://traffic.libsyn.com/sedaily/BuildingaCloudIBM.mp3Podcast: Play in new window | Download Cloud computing changed the economics of running a software company. A cloud is a network of data centers that offers compute resources to developers. In the 1990s, software companies purchased servers–an upfront capital expense that required tens of thousands of dollars. In the early 2000s, cloud computing started, and turned that capital expense into an operational expense. Instead of a huge bulk purchase

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Serverless Event-Driven Architecture with Danilo Poccia

http://traffic.libsyn.com/sedaily/ServerlessEvents.mp3Podcast: Play in new window | Download In an event driven application, each component of application logic emits events, which other parts of the application respond to. We have examined this pattern in previous shows that focus on pub/sub messaging, event sourcing, and CQRS. In today’s show, we examine the intersection of event driven architecture and serverless architecture. Serverless applications can be built by combining functions-as-a-service (like AWS Lambda) together

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Netflix Serverless-like Platform with Vasanth Asokan

http://traffic.libsyn.com/sedaily/NetflixServerless.mp3Podcast: Play in new window | Download The Netflix API is accessed by developers who build for over 1000 device types: TVs, smartphontes, VR headsets, laptops. If it has a screen, it can probably run Netflix. On each of these different devices, the Netflix experience is different. Different screen sizes mean there is variable space to display the content. When you open up Netflix, you want to efficiently browse through

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Serverless Authentication with Bobby Johnson

http://media.blubrry.com/audio_reviews/p/traffic.libsyn.com/sedaily/Webtask.mp3Podcast: Play in new window | Download Serverless architecture is software that runs without an addressable server. Serverless is made possible by two types of technology: platform as a service providers like Auth0, and functions as a service like AWS Lambda. With both of these technologies, we can program logic that runs without being deployed to a server. Functions as a service are cheap and scalable. Write your code for

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Serverless Continuous Delivery with Robin Weston

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

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Serverless Startup with Yan Cui

http://traffic.libsyn.com/sedaily/ServerlessBurningMonk.mp3Podcast: Play in new window | Download After raising $18 million, social networking startup Yubl made a series of costly mistakes. Yubl hired an army of expensive contractors to build out its iOS and Android apps. Drama at the executive level hurt morale for the full-time employees. Most problematic, the company was bleeding cash due to a massive over-investment in cloud services. This was the environment in which Yan Cui

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Event Driven Serverless with Sebastien Goasgoen

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.

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Serverless on Kubernetes with Soam Vasani

http://traffic.libsyn.com/sedaily/Fission.mp3Podcast: Play in new window | Download Kubernetes is an orchestration system for managing containers. Since it was open sourced by Google, Kubernetes has created a wave of innovation in the infrastructure technology space. Another recent innovation has been the “serverless” execution tools–such as AWS Lambda and Google Cloud Functions. Serverless execution, otherwise known as functions-as-a-service, allows a developer to execute code against cloud servers without specifying which cloud servers

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Firebase with Doug Stevenson

http://traffic.libsyn.com/sedaily/Firebase.mp3Podcast: Play in new window | Download Firebase is a backend-as-a-service. The key efficiency of a backend-as-a-service is that it enables developers to go from having a 3-tier architecture (client, server, database) to a 2-tier architecture (client, backend-as-a-service). The team who started Firebase built it as a pivot. They had started a social network, and then they realized there wasn’t a good backend for chat tools. And so they started

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Cloud Dataflow with Eric Anderson

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

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Serverless Architecture with Mike Roberts

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

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Scalable Architecture with Lee Atchison

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

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Serverless Code with Ryan Scott Brown

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

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Serverless Framework with Austen Collins

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.

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