S Buchanan

Guest on Code To Cloud Podcast – AI, Cloud, Career Resilience, and Farming

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I’m excited to share that I recently sat down again with former colleuage at Microsoft Kevin Evans on the “Code to Cloud” podcast for a conversation titled “AI, Cloud, and Career Resilience.” It has been a couple of years since I was on as a guest on his podcast. This discussion was super fun and goes all over the place from personal finance (Dave Ramsey we are coming for the top spot!), leaving tech to farm, to the recent layoffs at Microsoft, what AI means for all of us, and more.

You can listen on Spotify, Apple Podcasts, or watch the full episode on YouTube.

Spotify: https://open.spotify.com/episode/1jMf7mRZNxew6trsWt8e96

Apple Podcasts link: https://podcasts.apple.com/us/podcast/ai-cloud-and-career-resilience-with-steve-buchanan/id1788423999?i=1000729123487

YouTube: https://www.youtube.com/watch?v=vmo7MdmGj-s

In this post, I wanted to share some of the highlights, key takeaways, and a few behind-the-scenes thoughts from recording.

On the podcast, Kevin and I dug into several topics, especially in today’s rapidly evolving tech landscape. Some of the themes we touched on are:

Leadership & owning your narrative
I shared lessons I’ve learned in leadership like how to set vision, how to manage through change, and how leaders can help their teams navigate ambiguity.
We also talked about taking control of your narrative rather than letting circumstances or others define it for you.

My journey in tech
We walked through my career path over the years. The ups, the challenges, the moments of uncertainty. And I shared about recently being laid off from Microsoft, pivoting roles, and how those moments shaped and continue to shape my approach to owning my career.

Career resilience and mindset
One of the things I emphasized is that resilience is not just bouncing back, it’s proactively preparing, adapting, and taking charge of your trajectory. We talked about strategies to stay relevant: continuous learning, building a network, personal branding, and leaning into uncertainty instead of resisting it.

AI + Cloud: Opportunities and disruption
We explored how AI is weaving into cloud-native infrastructure and application stacks, and what that means for technologists.
We also addressed how to stay grounded amidst hype and understanding what’s real, what’s emerging, and how to plug into it in a practical, impactful way.

Key Takeaways and Advice for You

If you are reading this, here are a few of the ideas I hope will stick with you:

Do not wait for perfect context. The ideal job or environment might not exist yet. Instead, start shaping it yourself. Build the skills, forge relationships, and create momentum where you are.

Be purposeful in how you show up. Your personal brand is not about vanity. It is a vector for opportunities, trust, and alignment. Share your journey, your thinking, your work, even when it feels vulnerable.

Stay curious with humility. In fields like AI and cloud, change is constant. Curiosity keeps you relevant and humility keeps you open to learning when you do not know the answer.

Focus on bridges, not walls. Whether you are navigating careers, organization changes, or technical disruption, build bridges between peers, between domains, and across teams. Avoid insulating yourself.

Your resilience is in your habits. It is not just how you react in a crisis. It is how you cultivate consistency, reflection, incremental growth, and adaptability.

Behind the Mic; A Few Reflections

Recording with Kevin is always fun. His questions push guests to think more deeply than just the “what happened” stories. It was gratifying to revisit earlier chapters in my career after recently being laid off and exploring themes like uncertainty, adaptation, and ownership recurred over time.
I always find it special when conversations like these inspire me as much as I hope they inspire listeners and the host as well! Preparing, sharing, and telling stories helps us all get a little more confident in this unknown tech market.

If you have 45 to 60 minutes to spare, I encourage you to give the episode a listen! You will find not just stories from me but hopefully a few ideas or sparks you can take into your own path!

You can also watch the episode right here:

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Im Speaking at BITCON 2025 – Easiest Way to Run LLMs Locally: Meet Docker Model Runner

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🎤 I’m excited to share that I’ll be returning to BITCON in a week! I will be speaking at BITCON 2025, a gathering focused on Black voices in technology, innovation, and community. You can check out the full speaker lineup here: BITCON 2025 Speakers. The conference this year is virtual and its free. You can check out the site here: https://bitcon.blacksintechnology.net

The conference has a ton of great speakers lined up from some of the largest tech companies such as Google, Microsoft, and more. And to top it off the keynote this year is Kelsey Hightower! You dont want to miss this one.

My Session: “The Easiest Way to Run LLMs Locally: Meet Docker Model Runner”
Docker Captain: Steve Buchanan DMR session

At BITCON, I’ll be presenting “The Easiest Way to Run LLMs Locally: Meet Docker Model Runner”. In this session, I’ll look at:

  • Why run LLMs locally? The benefits in terms of cost, privacy, latency, and control
  • How Docker Model Runner simplifies things — containerizing large models, managing dependencies, and lowering friction
  • Demo and walkthrough — showing you step by step how to get a model up and running on your own machine or server
  • Best practices, pitfalls, and tips — what I’ve learned building and deploying these systems
  • Q&A / hands-on help — to get you started with your own setup

My goal is that attendees leave with a concrete, reproducible process they can apply right away.

Why It Matters

Large language models (LLMs) are powerful, but running them locally has often felt out of reach for smaller teams, indie devs, or people in resource-constrained environments. With the right tooling (like Docker Model Runner), we can lower that barrier—unlocking more experimentation, more privacy, and more control over where and how inference happens.

I believe this aligns well with the mission of BITCON: elevating voices, demystifying advanced tech, and making it accessible. I hope this talk helps bridge a gap for folks who want to explore AI locally without getting lost in infrastructure.

I am excited to be speaking at BITCON again. To learn more about my session check it out here:

BITCon Session: The Easiest Way to Run LLMs Locally: Meet Docker Model Runner

BITCON is free! Be sure to register today: HERE

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Recent Blog Posts: MCP Servers, Dev, Multi-cloud Mastery, and Cloud Engineer Resumes

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This is a shorter post, but I wanted to take a moment to share what I’ve been working on lately. Over the past few months I’ve been publishing a steady stream of blog posts on Pluralsight, covering topics across cloud, AI, JavaScript, and beyond. There’s a lot happening in tech right now, and I’ve been fortunate to collaborate with the Pluralsight team to dive into some of these exciting areas:

Check out an overview the blog posts and use the the following links to read more:

Behind the Buzzword: What is MCP (MCP Server)?
A breakdown of MCP servers and why they matter in the evolving landscape of AI.
👉 Read the post

How to Run an LLM Locally on Your Desktop
Exploring why and how you might want to run a large language model on your own machine, with a closer look at Docker Model Runner.
👉 Read the post

What to Emphasize on Your Resume as a Cloud Engineer
Tips on showcasing the skills that make cloud engineers stand out in today’s job market.
👉 Read the post

Multicloud Mastery: How to Train Teams in AWS, Azure, and GCP
Practical advice on enabling engineering teams to work across multiple clouds with confidence.
👉 Read the post

6 Cloud Cost Optimization Strategies and Tools for AWS, Azure, and GCP
A set of proven strategies and tools to help control and reduce cloud spend.
👉 Read the post

How to Add User Authentication to Your JavaScript App
A straightforward guide to securing your JavaScript applications with simple authentication techniques.
👉 Read the post

I’ll be continuing to publish more content in the months ahead, so stay tuned for future posts on cloud-native engineering, AI, and practical developer skills. If you found these articles useful, I’d love for you to check them out and share them with your network.

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Docker Model Runner Blog Post

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I’ve been spending a lot of time blogging on Pluralsight lately, and one of my recent posts covered a topic I’m genuinely excited about: running large language models (LLMs) locally. Specifically, I explored a tool called Docker Model Runner that makes this process more accessible for developers.

In the post, I broke down a few key ideas.

Why Run an LLM Locally

There’s a lot of momentum around cloud-hosted AI services, but running models locally still has its place. For many developers it means more control, quicker experimentation, and the ability to work outside of a cloud provider’s ecosystem.

Tools in This Space

Before zeroing in on Docker Model Runner, I broke down other ways developers are running models locally. The landscape is quickly evolving, and each tool has trade-offs in terms of usability, performance, and compatibility with different models.

Why Docker Model Runner

What really stood out to me with Docker Model Runner is how it lowers the barrier to entry. Instead of wrestling with environment setup, dependencies, and GPU drivers, you can pull down a container and get straight to experimenting. It leans into Docker’s strengths of portability and consistency, so whether you’re on a desktop, laptop, or even testing in a lab environment, the experience is smooth and repeatable.

For developers who are curious about LLMs but don’t want to get bogged down in infrastructure, this tool is a great starting point.

If you want the full breakdown and step-by-step details, you can check out my Pluralsight blog here:
👉 https://www.pluralsight.com/resources/blog/ai-and-data/how-run-llm-locally-desktop

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Steve Buchanan on the SuperHuman Mindset Podcast

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I recently had the honor of being a guest on the SuperHuman Mindset Podcast, hosted by my good friend and respected CISO and Cybersecurity expert Felix Asare. I have always loved the name of this show because it perfectly captures its mission.

About the Podcast

The podcast dives deep into the minds of extraordinary people who break barriers, push limits, and achieve what many might think is impossible. Each episode uncovers the mindset, habits, and stories behind their success, with the goal of inspiring you to unlock your full potential and elevate every aspect of your life.

Felix is intentional about the guests he brings on. Past guests have included:

  • Former Ghanaian President John Kufuor
  • CISO Amy Bogac
  • Physician Dr. Kambiz Farbakhsh
  • Team USA Gold Medalist Chrissy Holm
  • Many more inspiring individuals

To be invited among such an incredible lineup is something I really consider an honor.

What We Talked About

In this episode, Felix and I went beyond tech and had a wide ranging conversation that touched on:

  • Where AI is heading and how to stay plugged in
  • Authoring books and creating courses including how I overcame imposter syndrome to publish my first one
  • The Modern Developer Experience and Cloud Native trends
  • What it takes to reach the next level in tech
  • What drives me personally and professionally
  • Advice for those working their way to the top

It was one of those conversations that flowed naturally, blending personal stories with big picture insights.

Watch or Listen

You can check out the full episode here:

SuperHuman Mindset Podcast – YouTube

If you are interested in tech, mindset, or just hearing stories of pushing past limits, I think you will enjoy this one.

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My 28th Pluralsight Course Published! Agentic AI Safety and Alignment

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I’m excited to announce the release of my 28th Pluralsight course, and it’s a timely one as its about a topic that’s becoming more important by the day: Agentic AI Safety and Alignment.

As AI agent adoption accelerates, developers and product teams are under increasing pressure to ensure these systems behave responsibly. It’s no longer enough to build capable AI agents, they must also operate safely, ethically, and in alignment with your organization’s values.

That’s exactly what this course is about.

🧠 Why This Course Matters

The rise of autonomous AI agents brings incredible potential. but also significant risk. From runaway costs to prompt injection attacks, the stakes are high. In this course, I cover:

  • Prevent unintended behaviors
  • Embed ethics and safety checks into agents
  • Guard against issues like prompt injection
  • Keep human oversight (human in the loop)
  • Avoid unexpected bills or policy violations

To balance the theory and practice, I run through some demos using Microsoft Co-Pilot Studio and Flowise. You’ll see how to put in safety checks, define agent constraints, implement value alignment, and put in controls that keep your agentic AI safe.

📘 Official Course Description

“As companies rapidly adopt autonomous AI agents, developers and product leads face growing pressure to ensure these systems operate safely and align with organizational values. In this course, Agentic AI Safety and Alignment, you’ll gain the ability to design and deploy agentic AI systems that are both effective and ethically sound. First, you’ll explore how to identify potential risks and prevent unintended behaviors in autonomous agents. Next, you’ll discover how to embed your organization’s values by integrating rules and safety checks into your agent design. Finally, you’ll learn how to apply guardrails that keep agents aligned and under control. When you’re finished with this course, you’ll have the skills and knowledge needed to build AI agents that operate responsibly and stay true to your company’s principles.”

If you’re building, leading, or managing AI agent systems, this course will help you. Check out the course here:

https://www.pluralsight.com/courses/agentic-ai-safety-alignment

I hope this course serves as a valuable resource in your AI journey. Thank you for your continued support, and Be sure to follow my profile on Pluralsight so you will be notified as I release new courses! 

Here is the link to my Pluralsight profile to follow me:

https://www.pluralsight.com/authors/steve-buchanan

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First Docker.com Blog Post – Using Gordon (AI) to Containerize Your Apps and Work with Containers

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I’m excited to share that my first official blog post as a Docker Captain has been published on the Docker blog! It’s an honor to contribute to a platform that’s been so foundational in shaping how we build, ship, and run applications today. This first piece dives into Ask Gordon, Docker’s new AI assistant that helps developers go from source code to a running container with less friction and guesswork.

In the post, I walk through how Ask Gordon makes it easier to containerize your applications, even if you’ve never written a Dockerfile before. By analyzing your source code and asking a few smart questions, Ask Gordon generates everything you need to build and run your app in a containerized environment. It’s good for beginners getting started with containers and equally valuable for experienced devs looking to speed up repetitive setup tasks.

One of the things I appreciated most about Ask Gordon is how it bridges the gap between the developer’s intent and the actual container configuration. Rather than copy-pasting snippets from docs or Stack Overflow, the AI gives you context-aware Dockerfiles, Compose files, and clear next steps for your app. It’s a great example of how AI can elevate the developer experience without overcomplicating things.

This is just the beginning of my journey as a Docker Captain, and I’m looking forward to sharing more tutorials, insights, and real-world use cases that can help developers simplify their container workflows. If you haven’t checked it out yet, give my new post a read here:
👉 Containerize Your Apps with Ask Gordon

A big thanks to the Docker team for the warm welcome and opportunity!

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Officially a Docker Captain!

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I’m excited to share some exciting news I’ve officially been recognized as a Docker Captain 🐳!

You can find my Docker Captain profile on the Docker.com website here: https://www.docker.com/captains/steve-buchanan

For those unfamiliar, Docker Captains are a group of handpicked technology leaders who are passionate about Docker and the broader container ecosystem. The program highlights community members who are not only technically sharp but also deeply committed to sharing their knowledge and supporting others in the community. I am honored to join this community of 163 captains globally and 34 in the US. This award is similar to the Microsoft MVP award. The award is annually based.

Being named a Docker Captain is a huge honor. This recognition means a lot to me especially because it’s not just about what you know, but how give back to the community and share with others. Whether it’s speaking at conferences, creating tutorials, helping others get started, or experimenting with the latest container tools, it’s about lifting the community up together!

What This Means

As a Docker Captain, I’ll have access to:

  • Private product briefings with Docker engineers and insiders.
  • Early previews of tools, templates, and content.
  • A private Slack group with other Captains around the world.
  • The opportunity to share what I create with a wider audience through Docker’s channels.
  • A chance to meet the Docker product groups and other Captains once a year.
  • And of course… exclusive Docker swag 😎.

They already sent some cool swag in the welcome package:

But above all, it’s about continuing to give back. I’ve always believed in sharing what I know and helping others level up in tech, and this just fuels that mission even more.

What’s Next

I’ll be using my blog and other platforms to

  • Publish more Docker and container content here.
  • Share real world use cases from the trenches.
  • Highlight new and lesser known tools in the Docker ecosystem (like Ask Gordon/Docker AI, which I recently blogged about).
  • Collaborate with the global Captain crew on exciting community initiatives.

Stay tuned for more. And if you’re just starting your Docker journey, or deep into production workloads, I’d love to hear from you. Let’s connect, collaborate, and continue building awesome things, one container at a time.

A special shout out to Shelley Benhoff and Eva Bojorges for helping with this with award and opportunity! Also thanks to Docker for the warm welcome and to everyone in the community who’s been part of this journey so far. 🚢

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My 27th Pluralsight Course: “Generative AI Concepts for DevOps” Has Published

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I am excited to share that my 27th overall course and 3rd AI related course has published! This course is titled “Generative AI Concepts for DevOps“.

This course will help you to learn how to integrate generative AI into DevOps workflows for tasks such as generating IAC code in YAML Terraform scripts, and more. Here are the modules in the course:

Here is the full description of the course: Generative AI is revolutionizing how DevOps teams approach software development and operations by offering powerful tools to automate tasks, optimize workflows, and tackle challenges with remarkable speed and precision.

In this course, Generative AI Concepts for DevOps, you’ll learn how generative AI can help DevOps teams work faster and smarter by exploring key tools, understanding how they fit into workflows, and applying them to real-world DevOps problems.

First, you’ll explore the foundational concepts of transformer-based generative AI models and self-attention mechanisms in DevOps. Next, you’ll dive into the tools and platforms for generative AI, such as GitHub Copilot, Duet AI, Amazon Q, and more, learning how they can be integrated into DevOps workflows using YAML and manifests. Finally, you’ll discover how to apply generative AI techniques to solve DevOps challenges, leveraging tools and platforms like Terraform and Kubernetes to drive efficiency and innovation.

By the end of this course, you’ll be equipped with the knowledge and tools to harness generative AI in your DevOps workflows, driving greater efficiency, scalability, and innovation in your operations.

You can access this new course here:

http://www.pluralsight.com/courses/generative-ai-concepts-devops

I hope this course serves as a valuable resource in your tech education. Thank you for your continued support, and Be sure to follow my profile on Pluralsight so you will be notified as I release new courses! 

Here is the link to my Pluralsight profile to follow me:

https://www.pluralsight.com/authors/steve-buchanan

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Tech Together Podcast: My Journey to Microsoft, Prince’s Studio, the Future of Tech, and Navigating AI

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I recently had the opportunity to be a guest on a new podcast series brought to you by Tech Together, a collaboration between CreateMPLS and Genesys Works Twin Cities. Hosted by Shannon Seaver and Allison Barman.

This is the third episode in the series and it’s titled: “Tech Together with Steve Buchanan: Navigating Careers and Embracing Change in Technology.”

This wasn’t just another podcast recording, it was an experience. 🎧 We recorded at a studio inside Urban Ventures in Minneapolis, a space funded by Prince himself. I even got to check out one of his guitars, signed by the legend.

In this episode, I sit down with Shannon and Allison to talk about my journey in tech, from my early days navigating bootcamps and building a network, to eventually landing at Microsoft. We unpack the highs and lows, the importance of persistence, lifelong learning, and what it takes to grow a career in today’s tech landscape.

We also dive into the future of tech, covering the impact of AI, the need for more collaboration across the industry, and why computer science education for all is more critical than ever. As I shared in the episode:
“Give 200%. Share knowledge. Stay ready for what’s next.”

We wrapped things up with a fun rapid-fire Q&A session. Shoutout to Shannon and Allison for making it such a thoughtful and enjoyable conversation. 🙌

🎙️ Check it out for insights and tips on how to elevate your tech journey and navigate the evolving AI-driven world:
👉 Listen here on Spotify

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