Uploaded May 2026 | Updated September 2026, 2 weeks ago
He helped build the infrastructure that runs the modern internet. First AWS. Then Oracle Cloud Infrastructure. Then Heroku. Then Stripe. Now he's at Docker — and he thinks we're about to need a completely new layer underneath all of it.
When Mark Cavage, President & COO of Docker, joined the company, the question wasn't whether agents were coming. It was whether the infrastructure underneath them was ready.
It wasn't.
Before anyone was talking about agentic workloads in production…
Before AI tools started writing, running, and deploying their own code…
Before CISOs had a framework for reasoning about autonomous systems…
There was a simple but uncomfortable realization:
Containers were built for immutable, predictable software. Agents want to mutate everything.
In this episode of the Future of Data & AI Podcast, Mark Cavage — President & COO of Docker and one of the founding engineers of Oracle Cloud Infrastructure — joins Raja Iqbal for a candid conversation about what the agentic era actually demands from infrastructure.
Mark has spent over two decades building the systems that power modern cloud. Through Docker, he's now working on the sandbox layer that lets enterprises deploy agents at scale — without handing over control to a system nobody fully understands yet.
This conversation goes beyond the hype.
00:00:00 Teaser
00:01:17 Introduction
00:01:32 Career Journey: From IBM to Docker
00:03:06 Building Oracle Cloud Infrastructure
00:04:43 On Talent, Culture, and Meeting Don Johnson
00:06:51 Lessons from Building AWS and OCI
00:11:08 Platforms, Primitives, and Building for the Agentic Era
00:14:30 Joining Docker
00:15:42 Why Docker Is Uniquely Positioned for Agentic AI
00:19:34 Docker Hardened Images and Supply Chain Security
00:23:01 Sandboxing vs. Containers: A New Primitive
00:26:52 YOLO Mode Explained
00:27:24 Docker MCP Catalog and Trusted Servers
00:33:43 The Trusted Stack: Expanding Circles of Security
00:35:17 The Future of Containerization
00:38:20 Building a Business at the Speed of AI
00:44:18 The CISO Problem and the 1000x Risk Surface
00:48:05 Being a Technical COO
00:50:04 Becoming a Truly Agentic Company
00:52:17 CFO Reckoning and Token Economics
00:55:38 Rapid Fire
00:57:43 The Most Overrated Thing in AI
00:58:45 What to Read Right Now
00:59:42 Closing Thoughts
What You'll Discover:
🔹Why containers alone aren't enough for the agentic era.
Containers were built for immutable software. Agents mutate, write, and act — and Mark explains exactly what breaks, and what Docker built to fix it.
🔹What YOLO mode actually means — and why it matters.
Agents running without a human in the loop sounds reckless. Mark explains why that's actually the goal, and how the micro VM sandbox makes it safe enough for enterprise.
🔹The 1000x risk surface no one is talking about.
Every AI-generated pull request, every "authored by Claude" commit, every autonomously deployed dependency is stacking security debt. Mark breaks down what that means for your CISO.
🔹Trusted MCP servers and Docker Hardened Images.
What they are, why they exist, and why supply chain security for AI tools is about to become one of the most important conversations in enterprise tech.
🔹Mark's bets for the next 12 months.
CFOs demanding ROI on token spend, the open source project that no one is talking about, and what the future of Agentic AI looks like.
This episode is for:
🔹ML engineers and DevOps teams building with agents
🔹CISOs and security leaders managing a 1000x larger risk surface
🔹Platform and infrastructure leads evaluating MCP servers and supply chain security
🔹CTOs and engineering leaders figuring out what "agentic" actually means for their org
🔹 Founders deciding where the next infrastructure layer gets built
This isn't a conversation about demos or roadmaps.
It's about the infrastructure that agents actually need to run safely, reliably, and at scale; and whether the industry is building it fast enough.
If you're deploying agents in production, managing the security conversation, or trying to understand where Docker fits in the agentic stack… this episode is worth your time.
For more episodes: youtube.com/playlist?list=PL8eNk_zTBST_jMlmiokwBVfS_BqbAt0z2
For highlights: youtube.com/playlist?list=PL8eNk_zTBST-YYNgPcw3rO9Tvn7fEjR4A
Visit our podcast page for more info: datasciencedojo.com/podcast
He helped build the infrastructure that runs the modern internet. First AWS. Then Oracle Cloud Infrastructure. Then Heroku. Then Stripe. Now he's at Docker — and he thinks we're about to need a completely new layer underneath all of it.
When Mark Cavage, President & COO of Docker, joined the company, the question wasn't whether agents were coming. It was whether the infrastructure underneath them was ready.
It wasn't.
Before anyone was talking about agentic workloads in production…
Before AI tools started writing, running, and deploying their own code…
Before CISOs had a framework for reasoning about autonomous systems…
There was a simple but uncomfortable realization:
Containers were built for immutable, predictable software. Agents want to mutate everything.
In this episode of the Future of Data & AI Podcast, Mark Cavage — President & COO of Docker and one of the founding engineers of Oracle Cloud Infrastructure — joins Raja Iqbal for a candid conversation about what the agentic era actually demands from infrastructure.
Mark has spent over two decades building the systems that power modern cloud. Through Docker, he's now working on the sandbox layer that lets enterprises deploy agents at scale — without handing over control to a system nobody fully understands yet.
This conversation goes beyond the hype.
00:00:00 Teaser
00:01:17 Introduction
00:01:32 Career Journey: From IBM to Docker
00:03:06 Building Oracle Cloud Infrastructure
00:04:43 On Talent, Culture, and Meeting Don Johnson
00:06:51 Lessons from Building AWS and OCI
00:11:08 Platforms, Primitives, and Building for the Agentic Era
00:14:30 Joining Docker
00:15:42 Why Docker Is Uniquely Positioned for Agentic AI
00:19:34 Docker Hardened Images and Supply Chain Security
00:23:01 Sandboxing vs. Containers: A New Primitive
00:26:52 YOLO Mode Explained
00:27:24 Docker MCP Catalog and Trusted Servers
00:33:43 The Trusted Stack: Expanding Circles of Security
00:35:17 The Future of Containerization
00:38:20 Building a Business at the Speed of AI
00:44:18 The CISO Problem and the 1000x Risk Surface
00:48:05 Being a Technical COO
00:50:04 Becoming a Truly Agentic Company
00:52:17 CFO Reckoning and Token Economics
00:55:38 Rapid Fire
00:57:43 The Most Overrated Thing in AI
00:58:45 What to Read Right Now
00:59:42 Closing Thoughts
What You'll Discover:
🔹Why containers alone aren't enough for the agentic era.
Containers were built for immutable software. Agents mutate, write, and act — and Mark explains exactly what breaks, and what Docker built to fix it.
🔹What YOLO mode actually means — and why it matters.
Agents running without a human in the loop sounds reckless. Mark explains why that's actually the goal, and how the micro VM sandbox makes it safe enough for enterprise.
🔹The 1000x risk surface no one is talking about.
Every AI-generated pull request, every "authored by Claude" commit, every autonomously deployed dependency is stacking security debt. Mark breaks down what that means for your CISO.
🔹Trusted MCP servers and Docker Hardened Images.
What they are, why they exist, and why supply chain security for AI tools is about to become one of the most important conversations in enterprise tech.
🔹Mark's bets for the next 12 months.
CFOs demanding ROI on token spend, the open source project that no one is talking about, and what the future of Agentic AI looks like.
This episode is for:
🔹ML engineers and DevOps teams building with agents
🔹CISOs and security leaders managing a 1000x larger risk surface
🔹Platform and infrastructure leads evaluating MCP servers and supply chain security
🔹CTOs and engineering leaders figuring out what "agentic" actually means for their org
🔹 Founders deciding where the next infrastructure layer gets built
This isn't a conversation about demos or roadmaps.
It's about the infrastructure that agents actually need to run safely, reliably, and at scale; and whether the industry is building it fast enough.
If you're deploying agents in production, managing the security conversation, or trying to understand where Docker fits in the agentic stack… this episode is worth your time.
For more episodes: youtube.com/playlist?list=PL8eNk_zTBST_jMlmiokwBVfS_BqbAt0z2
For highlights: youtube.com/playlist?list=PL8eNk_zTBST-YYNgPcw3rO9Tvn7fEjR4A
Visit our podcast page for more info: datasciencedojo.com/podcast
