
Description
Docker & Kubernetes for .NET & Angular DevelopersBuild, Ship, and Scale Real Applications
Stop Guessing What Happens After You Write Code
Most developers are comfortable writing code.
But very few truly understand what happens after that code leaves their machine.
Why does it fail in another environment?
How do multiple services run together reliably?
How do teams deploy systems without breaking everything?
How do applications scale and recover automatically?
At some point, every developer realizes:
Writing code is only one part of building software.
Running it correctly is the real challenge.
The Skill Gap That Holds Developers Back
You might already be working on:
Monolith applications
Modular monolith systems
Microservices architectures
But regardless of architecture, the same challenges exist:
Environment inconsistencies
Deployment complexity
Scaling limitations
Lack of visibility into runtime behavior
This is where modern systems rely on two fundamental layers:
Docker — defines how your application runs
Kubernetes — defines how your system behaves at scale
Without understanding these, you are only solving half the problem.
What Makes This Course Different
This is not a collection of isolated concepts.
This course is designed as a complete journey , where everything connects:
You will not just learn Docker commands.
You will not just learn Kubernetes theory.
You will build a system and take it all the way to production-style deployment.
What You Will Build
A complete full-stack application:
Angular Frontend
.NET API
MongoDB Database
And you will take it through the entire lifecycle:
Local development
Containerization using Docker
Multi-container setup using Docker Compose
CI/CD pipeline integration
Deployment to Kubernetes
Scaling and troubleshooting
This is how real-world systems are built.
What You Will Learn
Docker — From Basics to Production
Containerize .NET and Angular applications
Write optimized multi-stage Dockerfiles
Run databases and caching systems in containers
Manage configuration using environment variables
Debug container issues effectively
Docker Compose — Run Full Systems Locally
Run frontend, backend, database, and cache together
Understand service-to-service communication
Replicate production-like environments on your machine
Simplify multi-service development
CI/CD — Automate Everything
Build and test applications automatically
Create Docker images in pipelines
Push images to a registry
Implement versioning and deployment flow
Kubernetes — Run Applications at Scale
Understand Pods, Deployments, and Services
Deploy your full-stack application
Expose applications using Services and Ingress
Scale applications using replicas
Understand self-healing systems
Troubleshoot real-world issues
Who This Course Is For
Developers
If you want to move beyond writing code and understand how applications actually run, this course will fill that gap.
Senior Developers
If you are designing systems but want deeper clarity on deployment, scaling, and runtime behavior, this course connects those layers.
Full Stack Developers
If you want to own the complete journey from development to deployment, this course is essential.
Why This Is a Must-Learn Skill
Modern development has changed.
Applications are expected to be containerized
Systems are designed to scale dynamically
Deployment pipelines are automated
Infrastructure is treated as part of the system
Developers who do not understand this layer:
Depend on others to deploy and debug systems
Developers who do:
Build better systems
Debug faster
Deliver with confidence
Move toward architectural roles
The Outcome
By the end of this course, you will be able to:
Design containerized applications
Run full systems locally with confidence
Build production-ready Docker images
Deploy applications on Kubernetes
Understand how modern distributed systems actually work
Final Thought
This course is not about tools.
It is about understanding how modern software systems are built, deployed, and scaled.
If you want to move from writing code to building real-world systems, this course will get you there.
- Why does it fail in another environment?
- How do multiple services run together reliably?
- How do teams deploy systems without breaking everything?
- How do applications scale and recover automatically?
- Monolith applications
- Modular monolith systems
- Microservices architectures
- Environment inconsistencies
- Deployment complexity
- Scaling limitations
- Lack of visibility into runtime behavior
- Docker — defines how your application runs
- Kubernetes — defines how your system behaves at scale
- Angular Frontend
- .NET API
- MongoDB Database
- Local development
- Containerization using Docker
- Multi-container setup using Docker Compose
- CI/CD pipeline integration
- Deployment to Kubernetes
- Scaling and troubleshooting
- Docker — From Basics to Production
- Containerize .NET and Angular applications
- Write optimized multi-stage Dockerfiles
- Run databases and caching systems in containers
- Manage configuration using environment variables
- Debug container issues effectively
- Run frontend, backend, database, and cache together
- Understand service-to-service communication
- Replicate production-like environments on your machine
- Simplify multi-service development
- Build and test applications automatically
- Create Docker images in pipelines
- Push images to a registry
- Implement versioning and deployment flow
- Understand Pods, Deployments, and Services
- Deploy your full-stack application
- Expose applications using Services and Ingress
- Scale applications using replicas
- Understand self-healing systems
- Troubleshoot real-world issues
- Applications are expected to be containerized
- Systems are designed to scale dynamically
- Deployment pipelines are automated
- Infrastructure is treated as part of the system
- Depend on others to deploy and debug systems
- Build better systems
- Debug faster
- Deliver with confidence
- Move toward architectural roles
- Design containerized applications
- Run full systems locally with confidence
- Build production-ready Docker images
- Deploy applications on Kubernetes
- Understand how modern distributed systems actually work
Who this course is for:
- Developers who want to move beyond writing code and understand how applications run in real environments
- .NET developers looking to learn Docker and Kubernetes in a practical, hands-on way
- Angular or frontend developers who want to understand the backend and deployment side of applications
- Full stack developers aiming to build and run complete systems from local development to production
- Developers working on monolith, modular monolith, or microservices who want to containerize and standardize deployments
- Engineers who want to gain real-world experience with Docker, Docker Compose, and Kubernetes
- Professionals preparing for roles involving cloud-native development, DevOps, or platform engineering
- Senior developers and architects who want to connect system design with deployment and runtime behavior
- Anyone who wants to understand how modern applications are packaged, deployed, scaled, and maintained