Advanced Docker Concepts and Container Orchestration
Efficient container orchestration determines the availability, deployment speed, and operational reliability of modern application landscapes. Advanced concepts around Docker and Kubernetes form the foundation for professional, scalable container infrastructure.
Key topics
- Advanced Docker configuration and container architecture
- Kubernetes orchestration: Pods, Services, and Controllers
- Horizontal scaling, resource limits, and auto-scaling
- Inter-service communication and network configuration
- Security concepts for container runtime environments
- Building CI/CD pipelines for automated container deployments
- Monitoring, logging, and systematic fault diagnosis
- High-availability and resilient container environment design
Prerequisite
Participants should have foundational knowledge of Docker and Linux. Experience with containers in simple deployment scenarios is beneficial.
Target group
DevOps and cloud engineering teams looking to build, automate, and scale container infrastructure in production environments.
Professional Docker and Kubernetes skills strengthen the ability to design resilient container infrastructure and automate deployments reliably.
- Introduction to Docker and its use cases
- Overview of Docker architecture
- Docker components: Client, Host, and Registry
- Installing and setting up Docker
- Starting and running containers
- Container lifecycle management
- Monitoring and managing containers
- Running commands in live containers
- Creating images with Docker Commit
- Creating and understanding Dockerfiles
- Tagging and versioning images
- Pulling and pushing images from registries
- Setting up private Docker registries
- Control Groups (Cgroups)
- Linux Namespaces
- Setting resource limits for containers
- Storage concepts in Docker
- Creating and managing Volumes
- Working with Bind Mounts
- Temporary storage with tmpfs
- Container networking fundamentals
- Configuring network bridges
- YAML fundamentals
- Structuring Compose files
- Configuring and deploying applications
- Building images with Compose
- Container orchestration fundamentals
- Setting up a Swarm cluster
- Managing nodes in a Swarm cluster
- Controlling services in Swarm
- Secrets and rolling updates
- Cluster monitoring
- Horizontal scaling
- Kubernetes cluster architecture overview
- Control Plane and Worker Nodes
- kubectl as a control tool
- How Kubelet works
- Kube-Proxy and network forwarding
- Data storage with etcd
- Kubernetes Controllers
- Designing a Kubernetes cluster
- Installing Kubernetes masters and nodes (including TLS bootstrapping)
- Configuring a network solution
- Evaluating end-to-end test results
- kubectl in action
- Reading and writing YAML definitions
- Creating and managing Pods
- Labels and selectors
- Configuring Kubernetes Services
- ReplicaSets and Replication Controllers
- Defining resource quotas
- Kubernetes networking fundamentals
- Container Network Interface (CNI)
- Pod networking concepts
- Configuring DNS in Kubernetes
- Setting up Ingress rules
- Namespaces in Kubernetes
- RBAC concepts and management
- Security Context in Kubernetes
- Managing Kubernetes Secrets securely
- Using container images securely
- Configuring network policies
Up to 100% funding for your continuing education
Attractive funding opportunities are available for numerous continuing education programs – depending on the funding program, up to 100% funding is possible.
The requirement is that you live or work in Germany. Our funding opportunities are not available outside of Germany.
Funding opportunities are available for career starters, job seekers, career changers, startups, experienced professionals, those seeking career advancement, and specialists.
- Scaling, stable deployment, and rapid recovery significantly boost the efficiency and resilience of modern applications.
- The course uses Docker Compose, Kubernetes, Docker Swarm, and monitoring tools for production-close container environments.
- Networking best practices, resource management, security strategies, and structured deployment processes reduce risks in live operations.
- Kubernetes takes over management, scaling, and fault tolerance of complex container infrastructures automatically and far more efficiently.
- Containerised workflows speed up releases, reduce error sources, and ensure consistent deployments.
- Peak loads, service outages, and complex updates can be handled automatically and in a controlled way.
- Flexible container communication and automated management enable scalable, maintainable system architectures.
- Cloud-native infrastructure is the new standard – organisations need professionals who can build and operate scalable container platforms.