Category Cloud Engineering

Load Balancing at Scale with Vivek Panyam

http://traffic.libsyn.com/sedaily/LoadBalancingatScale.mp3Podcast: Play in new window | Download Facebook serves interactive content to billions of users. Google serves query requests on the world’s biggest search engine. Uber handles a significant percentage of the transportation within the United States. These services are handling radically different types of traffic, but many of the techniques they use to balance loads are similar. Vivek Panyam is an engineer with Uber, and he previously interned at

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Incident Response with Emil Stolarsky

http://traffic.libsyn.com/sedaily/IncidentResponse.mp3Podcast: Play in new window | Download As a system becomes more complex, the chance of failure increases. At a large enough scale, failures are inevitable. Incident response is the practice of preparing for and effectively recovering from these failures. An engineering team can use checklists and runbooks to minimize failures. They can put a plan in place for responding to failures. And they can use the process of post

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Run Less Software with Rich Archbold

http://traffic.libsyn.com/sedaily/IntercomEngineering.mp3Podcast: Play in new window | Download There is a quote from Jeff Bezos: “70% of the work of building a business today is undifferentiated heavy lifting. Only 30% is creative work. Things will be more exciting when those numbers are inverted.” That quote is from 2006, before Amazon Web Services had built most of their managed services. In 2006, you had no choice but to manage your own database,

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High Volume Event Processing with John-Daniel Trask

http://traffic.libsyn.com/sedaily/HighVolumeEventProcessing.mp3Podcast: Play in new window | Download A popular software application serves billions of user requests. These requests could be for many different things. These requests need to be routed to the correct destination, load balanced across different instances of a service, and queued for processing. Processing a request might require generating a detailed response to the user, or making a write to a database, or the creation of a

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Fiverr Engineering with Gil Sheinfeld

http://traffic.libsyn.com/sedaily/FiverrEngineering.mp3Podcast: Play in new window | Download As the gig economy grows, that growth necessitates innovations in the online infrastructure powering these new labor markets. In our previous episodes about Uber, we explored the systems that balance server load and gather geospacial data. In our coverage of Lyft, we studied Envoy, the service proxy that standardizes communications and load balancing among services. In shows about Airbnb, we talked about the

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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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OpenBazaar with Brian Hoffman

http://traffic.libsyn.com/sedaily/OpenBazaar.mp3Podcast: Play in new window | Download Cryptocurrencies give us a decentralized financial system. OpenBazaar is a decentralized commerce system. A merchant can log onto OpenBazaar and post a listing for an item–for example, a t-shirt that I want to sell for $15. My item listing will spread throughout the OpenBazaar P2P network. A shopper can download the OpenBazaar desktop application and see my listing for a t-shirt. The shopper

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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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Augmented Reality with Scott Montgomerie

http://traffic.libsyn.com/sedaily/ScopeAR.mp3Podcast: Play in new window | Download Augmented reality applications are slowly making their way into the world of the consumer. Pokemon Go created the magical experience of seeing Pokemon superimposed upon the real world. IKEA’s mobile app lets you see how a couch would fit into your living room, which has a significant improvement on the furniture buying process. Augmented reality applications can have even more dramatic impact on

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Elastic Load Balancing with Ranga Rajagopalan

http://traffic.libsyn.com/sedaily/Avi_Networks_complete_with_preamble.mp3Podcast: Play in new window | Download Computational load is the amount of demand that is being placed on a computer system. “Load” can take the form of memory, CPU, network bandwidth, disk space, and other finite resources. When we design systems, we need to prepare for high-load events. On a social network, people are much more active in the mornings. On an e-commerce site, Black Friday causes many more

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IFTTT Architecture with Nicky Leach

http://traffic.libsyn.com/sedaily/IFTTT.mp3Podcast: Play in new window | Download It’s 9pm at night, and you are hungry. You order a pizza from Domino’s. You live on a street that’s dark, and so you have installed a smart lightbulb in front of your mailbox that lights up the address. When the pizza at Domino’s is ready, you want the lightbulb on your mailbox to light up so that the delivery person can read

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Quantum Computing Introduction with Zlatko Minev

http://traffic.libsyn.com/sedaily/QuantumComputing.mp3Podcast: Play in new window | Download Computer chips have physical limitations. When transistors get too small, electrons start to behave in ways that make the hardware modules less reliable. Our reliable technological progress has been enabled by Moore’s Law: the idea that the number of components we can fit on a chip doubles roughly every 12-18 months. We can’t keep shrinking the size of these components, because physics is

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Internet Monitoring with Matt Kraning

http://traffic.libsyn.com/sedaily/InternetMonitoring.mp3Podcast: Play in new window | Download How would you build a system for indexing and monitoring the entire Internet? Start by breaking the Internet up into IP address ranges. Give each of those address ranges to servers distributed around the world. On each of those servers, iterate through your list of IP addresses, sending packets to them. Depending on what sorts of packets those IP addresses respond to, and

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Scala Native with Denys Shabalin

http://traffic.libsyn.com/sedaily/ScalaNative.mp3Podcast: Play in new window | Download Scala is a functional and object oriented programming language built on the JVM. Scala Native takes this language, loved by many, and brings it to bare metal. Scala Native is an optimizing ahead-of-time compiler and lightweight managed runtime designed specifically for Scala. Denys Shabalin is a Research Assistant at the EPFL and the primary creator of Scala Native. In this episode, Adam Bell

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Tinder Engineering Management with Bryan Li

http://traffic.libsyn.com/sedaily/TinderManagement.mp3Podcast: Play in new window | Download Tinder is a rapidly growing social network for meeting people and dating. In the past few years, Tinder’s userbase has grown rapidly, and the engineering team has scaled to meet the demands of increased popularity. On Tinder, you are presented with a queue of suggested people that you might match with, and you swipe left or right to indicate that you like or

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User Management with Michel Feaster

http://traffic.libsyn.com/sedaily/Usermind.mp3Podcast: Play in new window | Download A customer engages with a company across a variety of channels–email, Zendesk, Salesforce, online advertising. Unifying those data sources and getting a dashboard into the entire customer experience is the goal of Usermind, a customer engagement hub. If you can get all of that data unified in one place, it creates a tool that salespeople, customer service, and marketing can all look at

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Video Infrastructure with Matt McClure and Jon Dahl

http://traffic.libsyn.com/sedaily/VideoInfrastructure.mp3Podcast: Play in new window | Download Playing a video on the Internet seems simple. You press play, the video gets delivered, and boom–you are watching Game of Thrones, right? It’s a bit more complicated. Unless you have built an application that involves video, you probably have not dealt with the world of codecs, bitrates, and streaming. Depending on the bandwidth between the user and the server, you might want

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Tinder Growth Engineering with Alex Ross

http://traffic.libsyn.com/sedaily/TinderGrowthEngineering.mp3Podcast: Play in new window | Download Tinder is a popular dating app where each user swipes through a sequence of other users in order to find a match. Swiping left means you are not interested. Swiping right means you would like to connect with the person. The simple premise of Tinder has led to massive growth, and the app is now also used to discover new friends and create

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Spotify Event Delivery with Igor Maravic

http://traffic.libsyn.com/sedaily/SpotifyEventDelivery.mp3Podcast: Play in new window | Download Spotify is a streaming music company with more than 50 million users. Whenever a user listens to a song, Spotify records that event and uses it as input to learn more about the user’s preferences. Listening to a song is one type of event–there are hundreds of others. Opening the Spotify app, skipping a song, sharing a playlist with a friend–all of these

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