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

  • OneGraph: GraphQL Tooling with Sean Grove
    GraphQL is a system that allows frontend engineers to make requests across multiple data sources using a simple query format. In GraphQL, a frontend developer does not have to worry about the request logic for individual backend services. The frontend developer only needs to know how to issue GraphQL requests from the client, and these
    1 hr 20 min
  • DBT: Data Build Tool with Tristan Handy
    A data warehouse serves the purpose of providing low latency queries for high volumes of data. A data warehouse is often part of a data pipeline, which moves data through different areas of infrastructure in order to build applications such as machine learning models, dashboards, and reports. Modern data pipelines are often associated with the
    1 hr 8 min
  • React Best Practices with Kent Dodds
    ReactJS developers have lots of options for building their applications, and those options are not easy to work through. State management, concurrency, networking, and testing all have elements of complexity and a wide range of available tools. Take a look at any specific area of JavaScript application development, and you can find highly varied opinions.
    59 min
  • React Stack with Tejas Kumar
    JavaScript fatigue. This phrase has been used to describe the confusion and exhaustion around the volume of different tools required to be productive as a JavaScript developer. Frameworks, package managers, typing systems, state management, GraphQL, and deployment systems–there are so many decisions to make. In addition to the present-day tooling choices, a JavaScript developer needs
    1 hr 4 min
  • JavaScript Deployments with Brian LeRoux
    Full-stack JavaScript applications have been possible since the creation of NodeJS in 2009. Since then, the best practices for building and deploying these applications have steadily evolved with the technology.  ReactJS created consolidation around the view layer. The emergence of AWS Lambda created a new paradigm for backend execution. Serverless tools such as DynamoDB offer
    1 hr 9 min
  • NextJS with Guillermo Rauch
    When ReactJS became popular, frontend web development became easier. But React is just a view layer. Developers who came to React expecting a full web development framework like Ruby on Rails or Django were required to put together a set of tools to satisfy that purpose. A full-stack JavaScript framework has numerous requirements. How does
    1 hr 23 min
  • Makerpad: Low Code Tools with Ben Tossell
    Low code tools can be used to build an increasing number of applications. Knowledge workers within a large corporation can use low code tools to augment their usage of spreadsheets. Entrepreneurs can use low code tools to start businesses even without knowing how to code. Modern low code tools have benefited from steady improvements in
    58 min
  • Parabola: No-Code Data Workflows with Alex Yaseen
    Every company has a large number of routine data workflows. These data workflows involve spreadsheets, CSV files, and tedious manual work to be done by a knowledge worker.  For example, data might need to be taken from Salesforce, filtered for new customers, and piped into Mailchimp. Or perhaps you need to sort all your customers
    1 hr 3 min
  • Decentralized Finance with Tom Schmidt
    Cryptocurrencies today serve two purposes: store of value and speculation.  The application infrastructure that has been built around cryptocurrency is mostly to support these use cases. At some point in the future, perhaps cryptocurrencies can be used as a global medium of exchange that is accepted at the grocery store. Perhaps we will use the
    1 hr 25 min
  • Infrastructure Management with Joey Parsons
    At Airbnb, infrastructure management is standardized across the organization. Platform engineering teams build tools that allow the other teams throughout the organization to work more effectively. A platform engineering team handles problems such as continuous integration, observability, and service discovery. Other teams throughout a company use the tools that a platform engineering team builds. For
    1 hr 15 min

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