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PODCAST

Cloud Out Loud Podcast

Jon and Logan Gallagher

We talk about cloud computing, what"s new, what to do, what not to do, and how to do it. We focus on the why and how of the cloud, why it"s revolutionary, and how to adapt yourself or your organization to be part of this revolution.We cover Google Cloud and AWS pretty exclusively in the beginning, and hope to add Azure in our copious free time.

technology management

All Episodes

42:45

Episode 36 - Open Source From Hackers to Kubernetes:...

Cloud Out Loud Podcast ·

2025/10/01

Send us a text Ever wonder how free software ended up running the world’s biggest clouds? We pull on a thread that starts with the hacker ethos—access, transparency, community—and follows it through OSCON memories, Docker’s breakout moment, and the quiet power shift that came with Kubernetes. From early research culture to the realities of running production systems, we map how open source moved from ideal to infrastructure and why today’s cloud thrives on community-built code. We look at wh...

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32:52

Episode 35: AI Hype vs. Reality: Rethinking Build vs....

Cloud Out Loud Podcast ·

2025/08/14

Send us a text In this episode, Jon and Logan explore whether generative AI fundamentally changes the build versus buy decision for businesses considering software solutions. They analyze recent claims about AI-powered cost savings and examine the underlying principles that should guide technology decisions. How Logan is using AI in his common tasks Looking at recent claims from companies like Klarna about replacing SaaS with AI-built softwareRevisiting the fundamental trut...

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25:54

AI Still Needs Humans in the Loop

Cloud Out Loud Podcast ·

2025/03/19

Send us a text When identical prompts yield different outputs and a request for "a cat running across the screen" generates four cylinders and a bobbing balloon, the non-deterministic nature of generative AI becomes impossible to ignore. Despite the power of these sophisticated models, we discovered that creating consistent, high-quality results demanded substantial human intervention – not less. Our journey moved from refining prompts to building extensive code example libraries, requiring...

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39:39

Episode 33 - Creating an Animation Application using AI

Cloud Out Loud Podcast ·

2025/03/05

Send us a text In this episode we try out what we've speculated AI, particularly GenAI is good for: expanding the capabilities of engineers as they create new applications. This application uses Google's Cloud Run and Google Cloud Storage to get user's specification of an animation, create the animation, then store and play the animation. This the link to the Github repo for the application. The AI framework for the application is Google's Gemini and the program generates the animation...

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24:42

Episode 32 - Responsibility for Security in the Cloud

Cloud Out Loud Podcast ·

2024/10/06

Courtesy of Corey Quinn's "Last Week in AWS" Newsletter # 389 Logan and Jon discovered a presentation from Sec-T by Chris Farris that does a great job describing the tension between the Cloud Providers and Customers when it comes to security.The presentation does a great job of highlighting the fact that, though the cloud can be made secure, for many people the defaults they use do not make them as secure as possible. In addition, the cloud providers have to make sure that existing soft...

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29:44

Episode 31 - An AI Manifesto

Cloud Out Loud Podcast ·

2024/07/23

This episode reviews a manifesto written by Leopold Aschenbrenner, formerly of OpenAI, now a founder of an investment firm that is focused on AGI, Advanced General Intelligence. The manifesto is titled SITUATIONAL AWARENESS, The Decade Ahead.This episode's discussion sets up who Leopold is, where he's been, and what his focus is. From there the focus is on one aspect of the document, Security. ANd here the discussion looks at what the paper cosiders vulnerabilities, versus the real-world vuln...

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35:28

Episode 30 - The Challenges of Using LLM and...

Cloud Out Loud Podcast ·

2024/06/29

As with all the discussions of AI, and particularly LLM's and Generative AI, this is a discussion of the challenges of getting it right, making it useful, and using these tools successfully in a business.Major Points:There are a large number of commercial and open-source models available.Tens and even hundreds of millions of dollars were spent, and equal amounts of person years were expended to create these models. Your business cannot and should not duplicate this effort and expense.You ther...

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31:14

Episode 29 - The Current State of AI: LLMs Becoming...

Cloud Out Loud Podcast ·

2024/04/22

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17:05

Episode 28 - A Review of Where We Are

Cloud Out Loud Podcast ·

2023/10/23

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42:34

Episode 27 - Risks of Generative AI

Cloud Out Loud Podcast ·

2023/07/06

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24:05

Episode 26 - Generative AI and Chat GPT

Cloud Out Loud Podcast ·

2023/07/04

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29:47

Episode 25 - The Best Cloud Environments for Machine...

Cloud Out Loud Podcast ·

2023/03/18

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22:38

Leaving the Cloud

Cloud Out Loud Podcast ·

2023/02/14

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39:23

Episode 23 - Getting into IT and Cloud Security

Cloud Out Loud Podcast ·

2022/11/22

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22:12

Episode 22 - The Effects of Rampant Immaturity in...

Cloud Out Loud Podcast ·

2022/11/16

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35:23

Episode 21 - Encouraging Women in Tech and InfoSec...

Cloud Out Loud Podcast ·

2022/10/17

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44:53

Episode 20 - How You Should Manage Security in the...

Cloud Out Loud Podcast ·

2022/09/23

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35:32

Episode 19 - How You should Manage Security When...

Cloud Out Loud Podcast ·

2022/09/07

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19:37

Episode 18 - The Cloudy Wisdom of Simon Wardley

Cloud Out Loud Podcast ·

2022/09/02

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25:26

Episode 17 - Disaster

Cloud Out Loud Podcast ·

2022/08/19

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37 results

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