エピソード

  • Open Communities With Andrew Zigler
    2024/02/01
    Andrew Zigler (Mattermost) delves into the world of open-source development and the unique challenges faced by an "open-first" developer community. Andrew shares his deep insights into fostering collaboration, building trust, and navigating the intricate dynamics of open-source projects.
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    35 分
  • Machine Learning Ops With Chelsea Troy
    2024/01/18
    Jessitron is joined by Chelsea Troy, Staff Data Engineer at Mozilla, and one of the all-around most interesting people in software today, to discuss staff engineering, machine learning operations, and maybe also surfing.
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    48 分
  • It's Been Ten Years of ADO, Charlie Brown
    2024/01/04
    It's been ten years of Arrested DevOps! Joe, Matty, Bridget, Jess, and Trevor spend some time (quite a lot of time!) reminiscing over stories and history of the podcast.
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    1 時間 49 分
  • So You’re in Charge Now… With Ben Greenberg
    2023/12/22
    What happens when you suddenly are In Management? Matty is joined by Ben Greenberg to talk through the challenges of first-time management.
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    48 分
  • DevOps Isn’t a Department With Jeremy Duvall
    2023/12/07
    DevOps is not a department. It's a set of concepts and ideas that are human-centric and driven through Agile practices. It's applying Big A Agile to operations: fast feedback loops, deeper collaboration with stakeholders (which is the engineering team), and invoking people over process and tools. A current problem hamstringing organizations is that they treat DevOps like a commoditized department: one that writes shell scripts and deploys Jenkins servers, and not the value engine that those teams could be. They took the tools team, applied a light version of DevOps ideology, and said, "Hey, that's it. That's DevOps. Hashtag winning."
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    30 分
  • Runtime Analysis With Brian Kelly
    2023/11/23
    Most developers are familiar with two sources of data about their applications: 1) static code analysis, and 2) observability tools monitoring their system in production. However, a new data source is gaining popularity: Runtime analysis. Runtime analysis is a technique where an application's dynamic behavior is recorded and analyzed during development time, allowing flaws and other insights to be revealed before that code is deployed to production.
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    39 分
  • Complexity With Michael Stahnke
    2023/11/09
    It's a complex world! Matty and Michael Stahnke wax philosophical about whether our systems need to be as complicated as we have made them
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    47 分
  • The Database Calls Are Coming From Inside the House With Grant Fritchey
    42 分