Arrested DevOps Matt Stratton, Trevor Hess, Jessica Kerr, and Bridget Kromhout
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- Technology
Arrested DevOps is the podcast that helps you achieve understanding, develop good practices, and operate your team and organization for maximum DevOps awesomeness.
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Open Communities With Andrew Zigler
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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Machine Learning Ops With Chelsea Troy
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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It's Been Ten Years of ADO, Charlie Brown
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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So You’re in Charge Now… With Ben Greenberg
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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DevOps Isn’t a Department With Jeremy Duvall
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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Runtime Analysis With Brian Kelly
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.