Depot CI

Sponsored by Depot CI Try it here → https://depot.plug.dev/Mxr2bf4 Speed up your Docker builds with persistent caching and warm infrastructure This is not another Docker commands tutorial. This is the mental model you actually need to understand how Docker works, why builds get slow, why containers become insecure, and why things break in production even when everything looks “running”. In this video, you’ll learn: • How Docker really works under the hood • The difference between images, containers, and registries • The 3 most common mistakes developers make in Dockerfiles • How to fix slow builds using layer caching • Why running containers as root is dangerous • How to design health checks that actually reflect real system health • What changed in Docker in 2026 • How Docker is now being used for AI infrastructure and MCP servers If you're building production systems, preparing for system design interviews, or working with modern AI stacks, these concepts are essential. 📚 Related Resources: → ByteMonk Blog: https://blog.bytemonk.io/ → System Design Course: https://academy.bytemonk.io/courses → LinkedIn: https://www.linkedin.com/in/bytemonk/ → Github: https://github.com/bytemonk-academy ⏱️ Timestamps 00:00 Docker’s 92% Adoption — And Why Most Developers Still Use It Wrong 00:42 The “Works on My Machine” Problem 01:13 Virtual Machines Explained (First Solution) 01:58 Containers vs Virtual Machines (Key Difference) 02:36 Why Docker Made Containers Mainstream 02:47 Core Concepts: Image, Container & Registry 03:30 What Happens When You Run docker run 03:46 Building Images with a Dockerfile 04:13 Common Dockerfile Mistakes Developers Make 04:24 Mistake #1 — Layer Order & Build Caching 05:48 Mistake #2 — Running Containers as Root (Security Risk) 06:45 Mistake #3 — Misleading Health Checks 07:44 Docker in 2026: What Changed Recently 07:54 The CI Build Bottleneck Problem 08:28 Faster Builds with Depot CI (Sponsor Segment) 09:25 Docker’s Shift Toward AI Infrastructure 09:35 MCP Servers Explained (AI Tooling Standard) 10:30 Running AI Models Locally with Docker Model Runner 11:08 Supply Chain Security & Hardened Base Images 12:05 Docker’s New Role in AI Systems 12:18 Final Thoughts & What to Learn Next https://www.youtube.com/playlist?list=PLJq-63ZRPdBt423WbyAD1YZO0Ljo1pzvY https://www.youtube.com/playlist?list=PLJq-63ZRPdBssWTtcUlbngD_O5HaxXu6k https://www.youtube.com/playlist?list=PLJq-63ZRPdBu38EjXRXzyPat3sYMHbIWU https://www.youtube.com/playlist?list=PLJq-63ZRPdBuo5zjv9bPNLIks4tfd0Pui https://www.youtube.com/playlist?list=PLJq-63ZRPdBsPWE24vdpmgeRFMRQyjvvj https://www.youtube.com/playlist?list=PLJq-63ZRPdBslxJd-ZT12BNBDqGZgFo58 #docker #depot #bytemonk