Docker in 2026: What Changed (And What You’re Still Doing Wrong)
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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: / 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
• System Design Interview Basics
• System Design Questions
• LLM
• Machine Learning Basics
• Microservices
• Emerging Tech
#docker #depot #bytemonk