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Conteneurisation · Courses

Kubernetes: From Discovery to Expertise

Learn how to deploy, manage, and scale containerized applications with Kubernetes, the industry-standard container orchestrator.

9 chapters22 lessonsEN
At your pace, through practice.

By the end of this course you will be able to

  • Deploy, expose and update an application with Deployments and Services
  • Configure Ingress, ConfigMaps, Secrets and persistent volumes
  • Secure a cluster with RBAC and NetworkPolicies
  • Make an application resilient with probes, HPA and PDB

🎯 Level : Intermediate👥 Who it is for : Developers and operators deploying containerised applications

LEARNING PATH

Course curriculum

0Training Overview1 lesson
  1. Assessment quizQuiz · ⏱ 10 min
1Introduction4 lessons
  1. Lab EnvironmentHands-on lab · ⏱ 28 min · Level 1/5
  2. Test environment: kindHands-on lab · ⏱ 28 min · Level 1/5
  3. Kubernetes architecture and componentsArticle · ⏱ 4 min
  4. kubectl cheat sheetArticle · ⏱ 11 min
2Workloads3 lessons

Pods, Deployments, probes and scaling.

  1. Pods, ReplicaSets and DeploymentsArticle · ⏱ 9 min
  2. Reliability and scaling: probes, HPA, PDBArticle · ⏱ 10 min
  3. Lab: Deploy, expose and update an applicationHands-on lab · ⏱ 40 min · Level 2/5
3Networking and exposure3 lessons

Services, CNI, Ingress and Gateway API.

  1. Kubernetes ServicesArticle · ⏱ 11 min
  2. The different CNIsArticle · ⏱ 7 min
  3. Exposing applications: Ingress and Gateway APIArticle · ⏱ 10 min
4Configuration and storage3 lessons

ConfigMaps, Secrets, persistent volumes and quotas.

  1. ConfigMaps and SecretsArticle · ⏱ 10 min
  2. PersistentVolumes, Claims and StorageClassArticle · ⏱ 5 min
  3. Resource QuotasArticle · ⏱ 7 min
5Deployment and packaging3 lessons

Helm, deployment tools, jobs and serverless.

  1. Package managersArticle · ⏱ 7 min
  2. Deployment managersArticle · ⏱ 17 min
  3. Jobs vs ServerlessArticle · ⏱ 7 min
6Scheduling and placement1 lesson

Control where pods run.

  1. Placement strategiesArticle · ⏱ 13 min
7Security2 lessons

RBAC, NetworkPolicies and Pod Security.

  1. Securing your cluster: RBAC, NetworkPolicies, Pod SecurityArticle · ⏱ 10 min
  2. Lab: RBAC and NetworkPolicyHands-on lab · ⏱ 50 min · Level 3/5
8Best practices and choices2 lessons

Best practices and offering comparison.

  1. Kubernetes best practicesArticle · ⏱ 17 min
  2. Comparing Kubernetes offeringsArticle · ⏱ 6 min

LEARN BY DOING

Use cases & applications

Microservices application deployment

Manage a large number of independent services with built-in service discovery, load balancing, and configuration management.

Horizontal auto-scaling

Automatically increase or decrease the number of containers (pods) of an application based on load (CPU, memory usage).

Zero-downtime deployments (Rolling updates)

Update an application without service interruption by progressively replacing old containers with new ones, with rollback capability.

Recommended prerequisites

Docker: From Discovery to Expertise

What next?

HAProxy: from discovery to expertisePrometheus: From Discovery to ExpertiseAnsible: from discovery to expertise

Frequently asked questions

What is Kubernetes (K8s)?

It is an open-source container orchestration system that automates deployment, scaling, and management of containerized applications.

What is the difference between a Pod and a Deployment?

A Pod is the smallest deployable unit in Kubernetes, containing one or more containers. A Deployment is a higher-level object that manages ReplicaSets, which in turn ensure that a specific number of identical Pods are running at all times.

What is a Service in Kubernetes?

It is an abstraction that defines a logical set of Pods and a policy to access them (via a stable IP and port), acting as an entry point and internal load balancer.