Software Engineering Daily

Software Engineering Daily

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  • Typical duration

    54 min

    per episode

Based on Podcast App listening data

Software Engineering Daily episodes

  • Machine Learning with Data Skeptic and Second Spectrum at Telesign
    Data Skeptic is a podcast about machine learning, data science, and how software affects our lives. The first guest on today’s episode is Kyle Polich, the host of Data Skeptic. Kyle is one of the best explainers of machine learning concepts I have met, and for this episode, he presented some material that is perfect for this audience: machine learning for software engineers. Second Spectrum is a company that analyzesContinue reading...
    1 hr 10 min
  • Alexa Voice Design with Paul Cutsinger
    Voice interfaces are a newer form of communicating with computers. Alexa is a voice interface platform from Amazon. Alexa powers the Amazon Echo, as well as Alexa-enabled cars, refrigerators, and dishwashers. Any developer can build a device with a voice interface using a Raspberry Pi. Paul Cutsinger works on Echo and Alexa at Amazon. He’s focused on growing the market of developers who are building voice interfaces. In this episode,Continue reading...
    56 min
  • Pulsar Messaging with Lewis Kaneshiro
    Message broker systems decouple the consumers and producers of a message channel. In previous shows, we have explored ZeroMQ, PubNub, Apache Kafka, and NATS. In this episode, we talk about another message broker: Apache Pulsar. Pulsar is an open source distributed pub-sub message system originally created at Yahoo. It was used to scale products with high volumes of users–such as Yahoo Mail. There are three components of a Pulsar deployment:Continue reading...
    1 hr 1 min
  • Gloo: Function Gateway with Idit Levine
    Gloo is a function gateway built on top of the popular open source project Envoy. The goal of Gloo is to decouple client-facing APIs from upstream APIs. Gloo is similar to an API gateway, which is a tool that software companies can use to collect all their APIs and one place and impose security, monitoring, and other standards around those APIs. The goal of Gloo is to provide all theContinue reading...
    57 min
  • Vitess: Scaling MySQL with Sugu Sougoumarane
    YouTube runs a large MySQL database to hold the metadata about its videos. As YouTube scaled, the database was sharded, and applications within YouTube had to write queries that were aware of the sharding layout of that database. This is problematic, because it pushes complexity to the application developer. An application developer shouldn’t have to be aware of how a database is laid out among different nodes. The developer shouldContinue reading...
    1 hr
  • Cluster Schedulers with Ben Hindman
    Mesos is a system for managing distributed systems. The goal of Mesos is to help engineers orchestrate resources among multi-node applications like Spark. Mesos can also manage lower level schedulers like Kubernetes. A common misconception is that Mesos aims to solve the same problem as Kubernetes, but Mesos is a higher level abstraction. Ben Hindman co-founded Mesosphere to bring the Mesos project to market. Large enterprises like Uber, Netflix, andContinue reading...
    1 hr 9 min
  • Deep Learning Topologies with Yinyin Liu
    Algorithms for building neural networks have existed for decades. For a long time, neural networks were not widely used. Recent changes to the cost of compute and the size of our data have made neural networks extremely useful. Our smart phones generate terabytes of useful data. Lower storage costs make it economical to keep that data. Cloud computing democratized the ability to do large scale machine learning across deep learningContinue reading...
    1 hr 1 min
  • Data Engineering Podcast with Tobias Macey
    Cloud computing lowered the cost and improved accessibility to tools for storing large volumes of data. In the early 2000s, Hadoop caused a revolution in large scale batch processing. Since then, companies have been building ways to store and access their data faster and more efficiently. At the same time, the sheer volume of data has increased and machine learning has given rise to methods of extracting signal from seeminglyContinue reading...
    59 min
  • Stripe Atlas with Patrick McKenzie
    Starting an Internet business is harder than it should be. You need to incorporate, create an operating agreement, set up a system to accept payments, and many other straightforward tasks. In the 1990s, this was how it felt to set up anything on the Internet. You always had to stand up a web server on your own infrastructure, before you could get to the interesting part–which was building an actualContinue reading...
    57 min
  • Affirm Engineering with Libor Michalek
    When I buy a mattress online, I pay for it with my credit card. Behind the scenes, a complex series of transactions occur between a payment gateway, the credit card company, and a few banks. There are problems with this process–it is slow, complex, and involves the synchronization of several different parties. Some consumers will not want to purchase the mattress because they do not have cash, and the lendingContinue reading...
    1 hr

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