Training: Kubernetes – Fundamentals

Ref. KUB-01

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Duration:

3

days

Exam:

Not certifying

Level:

Fundamental

Funding:

Temptraining

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Kubernetes Training

Master Kubernetes for a Scalable and Resilient Infrastructure

The Kubernetes training is ideal for those looking to explore the potential of microservices and enhance the scalability of their applications. This course provides essential knowledge in containerization techniques, cluster management, and the adoption of large-scale cloud-native infrastructure. By taking this Kubernetes course, you’ll learn the fundamentals needed to install, configure, and deploy Kubernetes, an open-source platform that has become essential for optimizing and automating application deployment.

An Up-to-Date Training for Advanced Expertise

This program is designed to provide practical and precise knowledge of modern containerization technologies. With the latest tools and versions, including Kubernetes, you’ll learn how to orchestrate and monitor containers, manage high availability, and optimize your applications using Kubernetes. With hands-on case studies and practical exercises, you’ll be ready to enhance the resilience and scalability of your IT systems. Join this Kubernetes training to accelerate your career and master the essential concepts of container-based architectures.

Participant profiles

Developers looking to master Kubernetes
System and network administrators
DevOps professionals
Cloud architects

Objectives

Master Kubernetes installation
Deploy “cloud-native” applications at scale
Manage application auto-scaling
Ensure high service availability
Optimize storage with persistent volumes
Monitor infrastructure and applications
Automate software updates

Prerequisites

Basic knowledge of containers, preferably Docker
Familiarity with Linux systems
Understanding of virtualization and cloud computing
Basic system administration skills

Course content

Module 1: Introduction to Microservices

Monolithic vs. microservices applications
Cloud best practices: the “12 factors” methodology
Transitioning an application to microservices

Module 2: Container Basics

Overview of containers: Docker and containerd
Installing and running Docker images
Interacting with containers
Creating custom images
Differences between private and public repositories

Module 3: Kubernetes Basics

Creating a cluster: on your workstation, in your data center, or in the cloud
Kubernetes architecture and components (Control Plane and Node)
kubectl request lifecycle
Deploying an application on multiple machines
Exploring an application
Exposing an application on the network
Scaling up

Module 4: Key Kubernetes Concepts

Overview of Pods
Interacting with Pods
Application configuration and security (ConfigMaps and Secrets)
Service overview (ClusterIP, NodePort, LoadBalancer, Headless)
Creating custom services to expose applications
Organizing Pods with Labels

Module 5: Deploying Microservices

Cloud-native deployment strategies
High-performance computing strategies (Jobs)
Hands-on: deployments with kubectl and yaml
Scaling strategies (Replicasets and Daemonsets)
Hands-on: using replicas
Hands-on: installing a distributed logging manager
Software update strategy (Deployments)
Hands-on: Rolling update
Simplifying application updates
Advanced techniques: blue/green and canary deployments
Hands-on: Continuous deployment with GitOps and ArgoCD

Module 6: Managing Data Persistence

Volatile and persistent storage (PersistentVolume / PersistentVolumeClaim)
Deploying distributed databases (StatefulSet)
Hands-on: installing MongoDB and/or PostgreSQL in distributed mode

Module 7: Observability in Kubernetes

Introduction to observability with OpenTelemetry
Types of observability data
Cluster and infrastructure components
Monitoring
Logs
Metrics
API traces
Cloud-native observability strategy
Deploying a solution to collect logs: FluentD
Deploying a solution to collect metrics: Prometheus
Deploying a solution to correlate traces: OpenTelemetryOperator
Unified visualization tool: Grafana

Documentation

Digital courseware included

Complementary courses

Temptraining funding

ITTA is a partner of Temptraining, the continuing education fund for temporary workers. This training fund can subsidize continuing education for anyone who works for an employer subject to the Collective Work Agreement (CCT) Rental of services.

Additional information

Become an Expert in Containerization with Kubernetes

This Kubernetes training is designed to provide you with expertise in containerization and application orchestration. With the latest techniques and tools, you’ll learn to efficiently manage clusters and deploy applications flexibly and automatically. Ideal for high-availability environments, Kubernetes allows you to ensure the resilience and scalability of your applications. This Kubernetes course helps you modernize your infrastructure and optimize container management.

Master the Fundamental Concepts of Kubernetes

During this training, you will discover the basics of Kubernetes, including key components such as Pods, ConfigMaps, and Secrets. These essential elements allow you to secure and configure your applications for cloud-native environments. By learning how to structure your applications into microservices and organize your deployments, you’ll be able to leverage Kubernetes for optimal resource management.

Deploy Applications Securely

Security is at the heart of Kubernetes. You’ll learn how to configure network services, manage authentication, and deploy applications without compromise. With techniques such as blue/green and canary deployments, you minimize interruptions and ensure continuous updates in production. These advanced deployment methods guarantee that your applications remain available, even during updates or infrastructure changes.

Optimize Your Operations with Advanced Observability

Monitor your clusters with powerful tools like Prometheus for metrics, FluentD for logs, and Grafana for visualization. These solutions provide a complete view of your infrastructure’s health. With OpenTelemetry, you’ll learn to track application performance and diagnose issues in real time. This level of observability helps ensure the stability and performance of your services in a dynamic environment.

Automate Scaling and Updates

Kubernetes makes auto-scaling easy and efficient. You’ll see how to automatically increase or decrease resources based on real-time needs. This flexible approach reduces costs while maximizing performance. Additionally, you’ll learn to automate updates to deploy new versions without interrupting your services, using progressive deployments and software update strategies.