Advanced Docker Concepts and Container Orchestration

Price
Net €
VAT €

Price
Price on Request

Duration
5 days

For companies and job seekers:
this course is 100% fundable!
 

Location

Course Language
English

Training Solutions
Online Live

Request a consultation Add to favorites Print as PDF

Container orchestration is one of the core technologies of modern software development and cloud infrastructure. It requires efficient deployments, automated workflows, and scalable platforms that reliably manage complex applications. Current concepts related to Docker, Kubernetes, and modern operational processes form the foundation for professional container environments.

Key Topics

  • Advanced Docker Concepts
  • Kubernetes and container orchestration
  • Scaling and resource management
  • Service communication and networking
  • Container Security
  • CI/CD and Automated Pipelines
  • Monitoring and Troubleshooting
  • High-availability infrastructure concepts

Prerequisites
Experience with Docker fundamentals and basic knowledge of Linux and system administration.

Target Audience
DevOps engineers, development teams, administrators, cloud specialists, and IT professionals.

Scalable container platforms are having a lasting impact on modern development and operations processes. Professional expertise in orchestration and automation provides valuable skills for high-performance digital infrastructures.

Print as PDF
Course Content
  • Introduction to Docker
  • Docker Architecture
  • Docker Components: Docker Client, Docker Host, and Docker Registry
  • Installing Docker
  • Start a container
  • Container lifecycle
  • Manage containers
  • Execute commands in running containers
  • Creating Docker Images with Docker Commit
  • Create a Dockerfile
  • Tag an image
  • Download and upload images
  • Create private registries
  • Cgroups
  • Namespaces
  • Resource limits for containers
  • Storage Overview
  • Creating and Managing Volumes
  • Using Bind Mounts
  • Using tmpfs
  • Overview of Container Networks
  • Managing Network Bridges
  • Understanding YAML
  • Creating Docker Compose Files
  • Deploying and configuring applications
  • Building images
  • Container orchestration
  • Creating a Swarm cluster
  • Managing Nodes in a Swarm Node Cluster
  • Managing services
  • Secrets and Rolling Service Updates
  • Monitoring
  • Scaling
  • Understanding Kubernetes Cluster Architecture
  • Master / Node
  • Kubectl
  • Kubelet
  • Kube-Proxy
  • Etcd
  • Controller
  • Designing a Kubernetes cluster
  • Installing Kubernetes masters and nodes, including the use of TLS bootstrapping
  • Configuring a network solution
  • Analysis of end-to-end test results
  • Kubectl
  • Understanding YAML
  • Creating and Managing Pods
  • Managing Labels
  • Managing Services
  • Managing ReplicaSets & Replication Controllers
  • Resource Quotas
  • Kubernetes Networking
  • Understanding CNI
  • Understanding Pod Networking Concepts
  • Configuring DNS
  • Configuring and Managing Ingress Rules
  • Namespace
  • RBAC Management
  • Security Context
  • Secrets
  • Secure Handling of Images
  • Configuration of Network Policies

Frequently Asked Questions

  • Automated scaling, stable deployments, and rapid recovery make modern applications significantly more efficient and resilient.
  • Working with Docker Compose, Kubernetes, Swarm, and monitoring tools for production-ready container environments.
  • Best practices for networking, resource management, security strategies, and streamlined deployment processes reduce risks during live operations.
  • Kubernetes automates the management, scaling, and reliability of complex container infrastructures much more efficiently.
  • Containerized workflows speed up releases, minimize sources of error, and ensure consistent deployments.
  • Peak loads, service outages, and complex updates can be managed automatically and in a controlled manner.
  • Flexible container communication and automated management enable scalable, maintainable system architectures.
  • Companies are increasingly turning to cloud-native infrastructures and need expertise in scalable container platforms.
Berlin
Bremen
Dortmund
Dusseldorf
Frankfurt
Hamburg
Hanover
Cologne
Leipzig
Munich
Nuremberg
Stuttgart

Do you have any further questions? Please contact us.