Software Engineering Daily

Technical interviews about software topics.

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    Microservices Transition with Cassandra Shum


    Many companies are transitioning from a monolith to microservices architecture. Tools for cloud computing, containerization, and continuous delivery are making this easier. But there are still technological and organizational challenges that a company will encounter while making this transition. Cassandra Shum is an engineer with ThoughtWorks. She has worked with major financial institutions and other large companies to architect their migrations from monolith to microservices. Also, she...


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    49m
     

    Cloud Native Projects with Dan Kohn


    Cloud computing changed how we develop applications for the web. Over the last decade, engineers have been learning how to build software in this new paradigm. The costs have gone down, but our nodes can fail at any time. We no longer have to manage individual servers, but the layers of virtualization and containerization require new strategies for communicating between services. As we have adjusted to this new way of

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    1h0m
     

    Oil and Gas Data with Evan Anderson


    Public data is not always so accessible. It is nice when you can request data simply by making an API call, but that is the exception rather than the rule–especially when we are talking about data managed by the government. Oil and gas drilling data falls into this category. Oseberg is a company that is building a tool for analyzing oil and gas data. Oseberg is a rich dashboard for

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    46m
     

    Firebase with Doug Stevenson


    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 a chat-as-a-service tool, for people who wanted

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    52m
     

    Digital Ownership with Chris Groskopf


    When you purchase an ebook you must agree to the Terms of Service that tell you what you can do with it. What is actually in that terms of service? What are you agreeing to when you buy an ebook? The answers might surprise you. In this episode, Srini Kadamati interviews Chris Groskopf  on how the rise of digital products has eroded the idea of traditional ownership. They discuss digital

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    46m
     

    Artsy with Daniel Doubrovkine


    Artsy is an online art marketplace. This might sound like a simple engineering problem–you just set up a basic ecommerce site, list some pieces of art, and start making money, right? The art world is complicated. There are four major pillars: patrons, art fairs, galleries, and auctions. Bringing these different parts online is not trivial. And in order to do so, Artsy has to work with the existing ecosystem. It

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    1h1m
     

    Poker Artificial Intelligence with Noam Brown


    Humans have now been defeated by computers at heads up no-limit holdem poker. Some people thought this wouldn’t be possible. Sure, we can teach a computer to beat a human at Go or Chess. Those games have a smaller decision space. There is no hidden information. There is no bluffing. Poker must be different! It is too human to be automated. The game space of poker is different than that

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    55m
     

    Tech in the Middle East with Chris Schroeder


    Many countries in the developing world are undergoing a technological revolution which is shaping how they tackle problems around infrastructure, health, education and finance. Young people are at the forefront of developing solutions to the problems in the developing world. These young people creating technology and businesses to foster innovation and growth. Countries in the Middle East are no exception to this. Despite the difficulties the region faces such as

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    1h5m
     

    Convolutional Neural Networks with Matt Zeiler


    Convolutional neural networks are a machine learning tool that uses layers of convolution and pooling to process and classify inputs. CNNs are useful for identifying objects in images and video. In this episode, we focus on the application of convolutional neural networks to image and video recognition and classification. Matt Zeiler is the CEO of Clarifai, an API for image and video recognition. Matt takes us through the basics of

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    54m
     

    Software Consulting with Rachel Laycock


    Software consultancies solve problems involving management and software engineering. A large company might hire a software consulting company to give an external opinion on software architecture, or on an organizational structure. Sometimes a consultancy is brought in to help integrate a new technology, or do a major refactoring. Scaling a software consultancy to meet the varying demands of clients presents a unique challenge. Software companies that make money from media,

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    59m