Software Engineering Daily

Software Engineering Daily

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Software Engineering Daily episodes

  • CamelCamelCamel: Amazon Price Tracker with Daniel Green
    CamelCamelCamel is a tool for tracking prices on items on Amazon.com. The company was launched eleven years ago and is built off of the Amazon Product Advertising API. Daniel Green is one of the founders of CamelCamelCamel, and he joins the show to describe his experience building the product. Amazon and CamelCamelCamel (C3) have a
    1 hr 4 min
  • Monolithic Repositories with Ciera Jaspan
    Google’s codebase is managed in a single monolithic repository. An engineer at Google can explore almost any area of the codebase within the entire company. In order to enable this, Google has built tooling to support the monolithic repo, including a virtual file system and a set of build tools. A monolithic repository is not
    1 hr
  • Airtable with Howie Liu
    Software engineering is harder than it should be. There are many people who have an app idea that they are not sure how to build. Some of these people are highly technical professionals like real estate agents, scientists, and accountants. These professionals learn to use spreadsheets in their day-to-day work. Spreadsheets are also used widely
    49 min
  • Virtual Data with Sunil Kamath
    Relational data systems have evolved from single node instances to complex distributed systems. Almost any database can be accessed through a SQL statement, but the guarantees of these databases can vary in terms of consistency, availability, latency, durability, and financial cost. Relational database systems that explore these different sets of tradeoffs are sometimes categorized as
    44 min
  • Cloud Database Workloads with Jon Daniel
    Relational databases such as Postgres are often used for critical workloads, such as user account data. To run a relational database service in the cloud requires a cloud provider to set up a highly durable, highly available system. Jon Daniel is an infrastructure engineer at Heroku. Jon joins the show to describe the engineering and
    1 hr 2 min
  • Satellite Data Platform with Tim Kelton
    Satellite images contain vast quantities of data. By analyzing the contents of satellite images over time, we can identify trends in weather, soil, and agriculture. If we combine that data with ground-level sensors, we can gather a clearer understanding of how chemicals in the air or in the dirt map to how things look from
    39 min
  • Lyft’s Data Platform with Li Gao
    FindCollabs is a company I started recently The FindCollabs Podcast is out! FindCollabs is hiring a React developer FindCollabs Hackathon #1 has ended! Congrats to ARhythm, Kitspace, and Rivaly for winning 1st, 2nd, and 3rd place ($4,000, $1000, and a set of SE Daily hoodies, respectively). The most valuable feedback award and the most helpful
    1 hr 3 min
  • Lyft Data Discovery with Tao Feng and Mark Grover
    RECENT UPDATES: Podsheets is our open source set of tools for managing podcasts and podcast businesses New version of Software Daily, our app and ad-free subscription service Software Daily is looking for help with Android engineering, QA, machine learning, and more FindCollabs Hackathon has ended–winners will probably be announced by the time this episode airs;
    59 min
  • Consul Service Mesh with Paul Banks
    RECENT UPDATES: FindCollabs $5000 Hackathon Ends Saturday April 15th, 2019 New version of Software Daily, our app and ad-free subscription service Software Daily is looking for help with Android engineering, QA, machine learning, and more Consul is a tool from HashiCorp that allows users to store and retrieve information from a highly available key/value data
    1 hr 5 min
  • Streaming with Holden Karau
    RECENT UPDATES: FindCollabs $5000 Hackathon Ends Saturday April 15th, 2019 New version of Software Daily, our app and ad-free subscription service Software Daily is looking for help with Android engineering, QA, machine learning, and more Distributed stream processing allows developers to build applications on top of large sets of data that are being rapidly created.
    53 min

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Technical interviews about software topics.

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