About the course
This Kubernetes training course is designed for software engineers, DevOps practitioners, and platform teams who are deploying, operating, or migrating containerised applications using Kubernetes in real production environments.
The course focuses on practical cluster operation, application deployment, troubleshooting, and day‑to‑day Kubernetes workflows, rather than abstract theory.
This intensive course is designed to bridge the gap between local development and production-grade orchestration, taking you from the fundamentals of Docker to the advanced management of Kubernetes clusters.
We start by exploring Docker - building optimized images and managing container lifecycles - before transitioning into the Kubernetes ecosystem.
You will learn to move beyond simple containers to architect resilient, self-healing systems. Through extensive hands-on labs, we cover everything from pod scheduling and networking to security (RBAC) and persistent storage. We conclude by a look at the Helm package manager, ensuring you can deploy complex, multi-service applications with a single command.
Unlike self-paced video courses, this training is delivered in real time, allowing attendees to ask questions, troubleshoot issues, and apply concepts with expert support.
Instructor-led online and in-house face-to-face options are available - as part of a wider customised training programme, or as a standalone workshop, on-site at your offices or at one of many flexible meeting spaces in the UK and around the World.
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By the end of this course, attendees will be able to:
- Containerise Applications: Build, network, and manage Docker containers and multi-container environments.
- Orchestrate Workloads: Deploy and scale applications using Pods, Deployments, and StatefulSets.
- Configure & Secure: Manage application secrets, config data, and cluster access using RBAC and Network Policies.
- Ensure High Availability: Implement liveness/readiness probes and rolling update strategies.
- Manage Persistence: Configure persistent storage for stateful applications using PVs and Claims.
- Simplify Deployments: Package and version your infrastructure using Helm charts.
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This course is designed for developers, DevOps engineers, system administrators, and architects who need to build, deploy, and manage containerised applications on Kubernetes. It is particularly relevant for:
Software Developers building cloud-native applications.
DevOps Engineers responsible for deploying and managing applications on Kubernetes.
System Administrators transitioning to container orchestration.
Architects designing containerised and distributed systems.
Anyone looking to understand and work with the leading container orchestration platform.
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Delegates should have some basic understanding of Linux and application development, and be comfortable using a command line or terminal. Basic familiarity with container concepts is beneficial, although the course will cover the fundamentals of Docker.
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This Kubernetes course is available for private / custom delivery for your team - as an in-house face-to-face workshop at your location of choice, or as online instructor-led training via MS Teams (or your own preferred platform).
Get in touch to find out how we can deliver tailored training which focuses on your project requirements and learning goals.
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Docker Fundamentals
History of Docker and Containers
Fundamental building blocks of a container
Getting your application into an image (Dockerfile basics)
Going from images to containers
Interacting with running containers
Multiple container workloads using docker-compose (for local development)
Docker networking concepts
Docker volumes for persistence
Kubernetes Core Concepts
What is Kubernetes?
What problem is Kubernetes solving (Orchestration)?
Kubernetes Architecture Overview:
Control Plane Components (API Server, etcd, Scheduler, Controller Manager)
Worker Nodes and the Kubelet
Container Runtimes (CRI, containerd, CRI-O) vs. Docker Engine (brief context)
Common Cluster Provisioning Methods (Managed cloud services, kubeadm - brief mention)
Resources for running your workloads
Core Kubernetes Objects and Concepts
Creating and editing: Pods
Replicasets: Ensuring desired number of pods
Deployments: Managing stateless applications and rolling updates
Namespaces: Logical isolation
Configuring your application:
Using Environment variables
ConfigMaps
Secrets
Placing your workload (Scheduling):
Resource requests and limits
Taints & Tolerations
Node Selectors
Node Affinity / Anti-Affinity
Multi-container pods:
initContainers
Sidecar pattern (brief mention)
Application observability in Kubernetes:
Liveness and readiness probes
Container logging
Debugging applications in pods
Pod Design Best Practices:
Labels, selectors and annotations
Rolling updates and rollbacks
Advanced Deployment Strategies (Canary, Blue/Green - brief overview)
Batch Workloads:
Jobs
Cronjobs
Overview of Helm - Kubernetes Package Manager
What is Helm?
Helm Charts: Structure and Templating
Releasing and Managing Applications with Helm
Kubernetes Security
Service accounts: Identity for pods
RBAC (Role-Based Access Control): Authorisation within Kubernetes
Network policies: Controlling network traffic between pods
Kubernetes Networking
Services: Exposing applications inside the cluster
Ingress: Exposing applications outside the cluster (HTTP/S routing)
State Persistence in Kubernetes
Persistent Volumes (PV) and Persistent Volume Claims (PVC)
Storage Classes: Dynamic provisioning of storage
StatefulSets: Deploying stateful applications reliably
Introduction to the Operator Pattern (Custom automation for complex stateful applications)
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Official Kubernetes Documentation - https://kubernetes.io/docs/
Docker Documentation - https://docs.docker.com/
Helm Documentation - https://helm.sh/docs/
Kubernetes GitHub Repository - https://github.com/kubernetes/kubernetes
Kubernetes Community (Slack, Discuss) - https://kubernetes.io/community/
CNCF (Cloud Native Computing Foundation) website - https://www.cncf.io/
Containerd Documentation - https://containerd.io/
CRI-O Documentation - https://cri-o.io/
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