Infrastructure That Actually Makes Sense
We teach Docker and Kubernetes the way it works in production — not through slides, but through the problems you'll face when systems need to scale, fail gracefully, and stay maintainable.
Start Your Training PathThe Gap Between Theory and Reality
Most container courses teach you how to run a Hello World app. Then you get to work and discover networking is broken, volumes aren't persisting, and nobody knows why the staging environment behaves differently from production.
We skip the toy examples. Our curriculum starts with the architecture decisions that matter — how to structure images so they rebuild fast, how to handle secrets without committing them to Git, and how to debug when a pod keeps restarting and the logs say nothing useful.
You won't become an expert overnight. But after working through our scenarios — which come from actual infrastructure failures we've dealt with — you'll recognize patterns that take most people years to notice.
What Changes When You Actually Understand Containers
There's a moment when virtualization stops being confusing commands you copy from Stack Overflow and becomes a tool you can reason about. That's when you stop fighting your deployment pipeline and start building systems that your team can actually maintain.
We focus on the mental models that make everything click. How Linux namespaces create isolation. Why overlay filesystems matter for image layers. What happens during a rolling update and why it sometimes goes wrong.
Our training programs run from February through April 2026, with small groups that work through real infrastructure challenges. You can find more about how we structure learning on our About Us page.
Three Areas That Define Production Readiness
These aren't separate topics. They're interconnected skills that separate hobby projects from systems that handle real traffic.
Image Construction
Building containers that are small, secure, and rebuild quickly. Understanding layer caching, multi-stage builds, and how to structure Dockerfiles so changes don't invalidate your entire build cache.
Orchestration Patterns
Kubernetes primitives that actually get used — Deployments, Services, ConfigMaps, and how they interact. Learning when to use StatefulSets, how to handle database migrations, and why init containers exist.
Operational Reality
Monitoring, logging, and debugging distributed systems. Understanding what metrics matter, how to set up proper health checks, and how to investigate issues when multiple services are involved.
How We Structure Learning
Each module centers on a realistic problem. Not "deploy nginx" but "migrate a Django application from a single VM to containers while maintaining zero downtime." You'll work through the decisions, hit the common mistakes, and understand why certain approaches exist.
The Bangkok tech community has specific infrastructure challenges — intermittent network issues, mixed on-premise and cloud setups, teams with varying technical backgrounds. Our scenarios reflect that reality because we work with companies dealing with exactly these situations.
Sessions run in small groups where you can ask specific questions about your actual infrastructure. We've found that's where the most valuable learning happens — when someone says "we tried that approach and it broke in this weird way."
Docker Fundamentals
Image layers, container networking, volume management, and how to debug when things don't work. We cover the concepts that matter for production use, not just getting started tutorials.
Kubernetes Architecture
Control plane components, pod lifecycle, service discovery, and how the scheduler makes decisions. Understanding the system well enough to troubleshoot when behavior seems unpredictable.
Infrastructure as Code
Using Helm, Kustomize, and declarative configuration to manage deployments. Learning how to structure manifests so they're maintainable and how to handle environment differences properly.
Security Practices
Container isolation, secret management, network policies, and scanning for vulnerabilities. Understanding the security model well enough to make informed trade-offs.
Two Learning Paths
Foundation Track
Eight weeks covering Docker, basic Kubernetes, and essential deployment patterns. You'll build a complete application stack from scratch, deploy it to a cluster, and learn how to maintain it. This track prepares you for junior DevOps roles or helps developers understand the infrastructure their code runs on.
Starts February 2026. Classes meet twice weekly in our Bangkok location, with hands-on lab time and code review sessions.
Advanced Operations
Twelve weeks focused on production challenges — high availability, monitoring, security hardening, and performance optimization. You'll work with realistic failure scenarios, learn how to design resilient systems, and understand the operational trade-offs involved in different architecture choices.
This track assumes you're already working with containers and want to deepen your expertise. Our instructors work with companies running Kubernetes at scale, and the curriculum reflects current operational practices.
For details about industry Partners we collaborate with, check our partnerships page.