Sunday, June 30, 2024

Identifying Successful Open Source Projects

As open source companies and projects enter a transition phase of funding, licensing, community participation, let’s look at the characteristics of successful open source projects. 

SHOW: 834

SHOW TRANSCRIPT: The Cloudcast #834 Transcript

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WHAT DOES SUCCESS MEAN IN OPEN SOURCE?

  • There are 1000s of widely used open source projects, from Linux to Java to MySQL to Docker to Kubernetes to MongoDB
  • Less projects are successful from a monetization perspective, but that’s about individual business models
  • Plenty of companies during the 2010s-2020s treated open source as “marketing” and not really a development model

WHAT DOES COMMERCIAL SUCCESS LOOK LIKE IN OPEN SOURCE?

  • Wide usage infrastructure - Linux, Kubernetes, OpenStack
  • Complex projects vs. “it just works”
  • Critical security - Vault
  • Complex data services - MongoDB, Kafka
  • Many companies contributing (share the costs) - Linux, Kubernetes
  • Management / Observability Engines - Crossplane, Prometheus
  • Programming Languages - Java, Rust, Go, Python, Ruby, etc.
  • Cloud services hiding complexity
  • Cloud services stretching across clouds
  • Single vendor projects - often move to non-OSS licensing
  • Single vendor projects - difficult to maintain at scale

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Wednesday, June 26, 2024

WASM, Developer Experiences and Kubernetes

Matt Butcher (@technosophos, CEO at @FermyonTech) talks about the evolution of WASM, the relationship with Kubernetes, and managing Developer Experiences with platforms.

SHOW: 833

SHOW TRANSCRIPT: The Cloudcast #832 Transcript

SHOW VIDEO: https://youtube.com/@TheCloudcastNET

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NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS"

SHOW NOTES:

Topic 1 - Welcome back to the show. It’s been a couple of years since the last time you were on. Great to have you back. For anyone that didn’t listen to that show, or doesn’t know you, give us a quick update on your background.

Topic 2 - Let’s begin by talking about the Web Assembly community and the work around the open source project. Where does it stand today, what are the main focus areas?

Topic 3 - Fermyon delivers WASM as a PaaS platform and is focused on “serverless” delivery for applications. You’ve got a background in PaaS; what lessons have we learned about PaaS and what’s changed over the years?

Topic 4 - A couple years ago, Web Assembly (WASM) was on the short-list of “Hot” topics at KubeCon, even though it just launched. Fast forward to 2024, and it feels like it’s hard to get visibility on anything that isn’t called AI. How is WASM navigating the CNCF communities these days?

Topic 5 - WASM has an interesting relationship with Kubernetes. How do you think about the relationship? What do people get right, and what do they keep getting wrong?

Topic 6 - What are some of the interesting use-cases people are using WASM for thess days?

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Sunday, June 23, 2024

DevSecFinPlatMLOps

As we look at the continued expansion of the CNCF Landscape and the end of Cloud 1.0 era, are there any trends or patterns that identify which technology or categories will succeed vs fail? 

SHOW: 832

SHOW TRANSCRIPT: The Cloudcast #832 Transcript

SHOW VIDEO: https://youtube.com/@TheCloudcastNET 

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CAN TECHNOLOGY OVERCOME OUR DESIRE TO NOT COLLABORATE?

  • Should technology cross functional areas? 
  • Can technology be successful when crossing functional areas? 

CAN CROSS-FUNCTIONAL TECHNOLOGIES SUCCEED? 

  • Service Mesh
  • PaaS / Developer Portals
  • GitOps
  • FinOps
  • XX as code

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Wednesday, June 19, 2024

Zapier + AI integration

Reid Robinson (@Reidoutloud_, Lead AI Product Manager @Zapier)  talks about automation, application integrations and how to integrate AI in projects with Zapier

SHOW: 831

SHOW TRANSCRIPT: The Cloudcast #831 Transcript

SHOW VIDEO: https://youtube.com/@TheCloudcastNET 

CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw

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SHOW NOTES:


Topic 1 - Welcome to the show, Reid. Before we get started, tell us a little bit about your background, and what you focus on now at Zapier.

Topic 2 - Lots of individuals and companies use Zapier for a wide variety of automated tasks and application integrations. Recently, the company has added a number of ways to integrate AI into those workflows. At a high-level, how did you go about thinking about adding AI into the platform?

Topic 3 - What are some of the most common AI usage-patterns and integrations that you’re seeing companies build around?

Topic 4 - As Zapier began to integrate with OpenAI (or any 3rd-party LLM), how did you think about it as a source of integration? What did you have to think about regarding filtering, security and hallucinations with ChatGPT?

Topic 5 - We often hear discussions about AI agents interacting with other AI agents to complete tasks, or evolve the outputs of multi-step, complex tasks. Is that an area where we might expect to see things like the new Zapier AI tools playing a role?

Topic 6 - What are some of the best ways to get started building AI apps around these new integrations and tools?

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Sunday, June 16, 2024

How Today's AI is like the Early 2020s

Let’s explore how today’s early AI era is like the unicorn-filled, heavily VC-funded early 2020s. (Part 3 of 3)

SHOW: 830

SHOW TRANSCRIPT: The Cloudcast #830 Transcript

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THE EARLY 2020s were SHAPED by COVID and FREE CASH

  • VCs were pouring money into startups; “unicorns” were a daily occurrence
  • Many assumed that “today’s normal” would be the “forever normal”
  • Business models were drowned out by technology fascination

DO CURRENT AI ECONOMICS AND FUNDING LEVELS MAKE SENSE?

  • VCs and cloud providers are funding infrastructure like it’s 1997-2000
  • Business models around AI are still being sought out
  • Funding valuations have no basis in anything real, at least not yet
  • Are we near an AI (economic) crash, or at least deflation of the bubble?


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Wednesday, June 12, 2024

Modern Approaches to Continuous Integration

Solomon Hykes (@solomonstre, Co-Founder @Dagger_io) talks about the evolution of the container industry, fixing broken CI/CD systems, and modern DevOps.

SHOW: 829

SHOW TRANSCRIPT: The Cloudcast #829 Transcript

SHOW VIDEO: https://youtube.com/@TheCloudcastNET 

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SHOW NOTES:

Topic 1 - Welcome back to the show. We’ve spoken a number of times over the years and we’ve been overdue to catch up. For the few listeners out there who might not be familiar, give everyone a quick intro and your background with Docker and containers prior to Dagger.

Topic 2 - Dagger has been around for a few years, coming out of stealth in 2022. If I understand Dagger correctly, it is a declarative model to abstract away CI/CD pipelines. What problem are you trying to solve?

Topic 2a - Anytime you add an abstraction layer, you potentially add overhead and complexity. What are your thoughts on this?

Topic 3 - Let’s go back to containers quickly. How has Containers as an “industry” changed over the years? How does that relate to what you are trying to do with Dagger?

Topic 3a - What lessons learned from Docker and even back to dotCloud days do you want to bring forward with Dagger?

Topic 4 - What metrics are organizations using to measure the performance and success of Dagger implementations? Is it velocity (number of deployments)? Reduction in friction?

Topic 4a - I get the advantage on the Dev side of DevOps, what’s in it for Ops?

Topic 5 - Dagger has three components, Dagger Engine, Dagger Cloud and Dagger SDK. Walk everyone through the offerings at a high level.


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Sunday, June 9, 2024

How Today's AI is like the Early 2010s

The introduction of cloud computing brought about a significant change on how we use technology with our businesses. Let’s look at the historical parallels to today’s AI for the Enterprise. (Part 2 of 3)

SHOW: 828

SHOW TRANSCRIPT: The Cloudcast #828

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WHAT SHAPED THE EARLY 2010s?

  • 2008 financial crash and less money available for technology (uncertainty)
  • Increased frustration with corporate IT organizations (too much “no”)
  • The possibilities of mobile computing and socially connected societies (abundance)

EARLY CLOUD WAS ALL ABOUT BREAKING AWAY FROM CORPORATE IT

  • It’s a new generation of computing, so the future winner is unknown.
  • Many companies are trying to have centralized IT policies - one size fits all
  • Data governance and legal liability is driving corporate policies (education needed)
  • Consumer AI is widely available and applicable to some job functions
  • Executives are starting to talk about “AI First” policies
  • Cloud-native and Cloud-migrated were very different things, with different results


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Wednesday, June 5, 2024

Cloud News of the Month - May 2024

Brian Gracely (@bgracely) and Brandon Whichard (@bwhichard, from @SoftwareDefTalk) talk about all the major news stories in Cloud and AI from May 2024

SHOW: 827

SHOW TRANSCRIPT: The Cloudcast #827 Transcript

SHOW VIDEO: The Cloudcast YouTube Channel

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SHOW NOTES: 

Segments Covered in the Show:

  • Good Old Fashioned Cloud News
  • The AI Innovation Continues 
  • Trend 1 - Is anyone going to talk about Cloud anymore? 
  • Trend 2 - Is AI a real conversation with Enterprise yet, or does AI need to go through a consumer period first? 
  • Trend 3 - Every large acquisition was deemed a “terrible mistake” within a few months, according to the press - (e.g. Hashicorp, VMware)
  • Trend 4 - Is April to June the new “trade show season”, or will it just be “always on” in the new AI world?

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Sunday, June 2, 2024

How Today's AI is like the Early 2000s

Let’s put today’s AI era into some historic context by looking at the similarities and parallels to the explosion of the 1st wave of the consumer Internet. (Part 1 of 3)

SHOW: 826

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WE’RE FASCINATED BY THE IDEA OF TECHNOLOGY CHANGING EVERYTHING

  • 2000s era Internet was going to change everything
  • GenAI is predicted to change everything

MOST TECHNOLOGY’S SHIFT HAPPEN WITH CONSUMERS FIRST

  • GenAI still can’t validate accuracy (e.g. hallucinations)
  • GenAI is still extremely expensive to create, maintain
  • GenAI still doesn’t have a widely-adopted business model
  • Shadow GenAI groups will emerge in the Enterprise
  • People are still mostly thinking about GenAI as a way to offload things they don’t want to do vs. improving their existing skills


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