DevOps

Introduction

The DevOps culture focus on one goal throughout the entire software delivery lifecycle (not just development and operations): the rapid implementation of stable, high-quality software, from concept to customer or user. The automation of software development, testing and deployment through Continuous Delivery (CD) is a recognized key factor for DevOps. Automation enables faster software implementation and ensures the solutions have the quality, security and stability they need.

Educational goals

• Discover the DevOps culture and its tooling ecosystem.
• Gain and share confidence in your code and operated systems.
• Maximize time-to-market, productivity and security.
• Build robust and evolving applications and infrastructures.

Prerequisites

Common computer skills and Linux basic knowledge.

Modules

Module 1 (1-3h): Fundamental knowledge

• Common tools
• Networking
• Progamming tools
• Common Knowledge
• Languages

Module 2 (3h): DevOps introduction

• Definition
• The reason to DevOps
• DevOps life cycle
• Site Reliability Engineering (SRE) implements DevOps
• SRE service levels
• SRE tools
• Devops' history
• Agile vs Waterfall
• The Agile Manifesto
• Agile Principles
• Scrum
• Version management with SemVer
• Naming

Module 3 (3h): Versioning with Git

• Objectives
• Definition
• VCS motivations
• VCS Usages
• Semantic Versioning (SemVer)
• Centralized vs Distributed VCS
• Git: introduction
• Git: motivations
• Git: ecosystem
• Git: basic concepts
• Git: repository
• Git: common usage scenario
• Git: branching
• Git: branches merging
• Git: conflicts resolution
• Git: lab praticing
• Git: .gitignore
• Git: tagging
• Git best practices: use rebase instead of merge
• Git best practices: Conventional Commits
• Where can you use Git?
• Open-source project management

Module 4 (3h): Continuous testing

• Benefits
• Types of tests
• Example
• Test coverage
• Test-driven development (TDD)
• TDD benefits
• Test automation
• Test writing best practices

Module 5 (3h): Continuous Integration & Continuous Delivery (CI/CD)

• Simple deployment illustration
• Definitions
• Benefits
• CI/CD fundamentals
• CI/CD pipeline
• CI/CD platforms
• Registry deliveries

Module 6 (3h): Infrastructure as code (IaC)

• Requirement of automation
• Example
• Imperative approach
• Declarative approach
• Implementation in DevOps
• Immutable & mutable infrastructure
• Managing development virtual environment with Vagrant
• Local environments with Vagrant
• Provisioning with Ansible
• Cloud provisioning with Terraform

Module 7 (3h): Containers with Docker

• The problems for developers
• Container definition
• Docker container
• Docker
• Container vs Virtual Machines vs Bare metal
• Docker architecture
• Docker components
• Example of a Docker workflow
• CLI commands
• Building Docker images
• Storage on Docker
• Running multi-container applications with Docker Compose
• Use cases
• Using Docker Compose
• Docker Compose example
• Docker Compose commands

Module 8 (3h): Container orchestration with Kubernetes

• Requirements for Container-Based applications
• Container orchestration services
• Containers complexity
• Container orchestration tools
• Kubernetes
• Kubernetes cluster
• Kubernetes objects definitions
• Kubernetes object management
• Resource configuration organization
• Pod storage
• Networking
• Minikube

Module 9 (3h): Storage in Kubernetes

• Volumes in Docker
• Kubernetes Volumes
• Kubernetes Volume types
• Volume type: emptyDir
• Volume type: awsElasticBlockStore
• Persistent Volumes

Module 10 (3h): Cloud-native applications and microservice architectures | with Istio

• Cloud definition
• Cloud advantages
• Service model selection
• Cloud-native applications
• Monolithic vs Microservices architecture
• Microservices are NOT
• Application centered around APIs
• Service mesh
• Istio

Module 11 (3h): Monitoring | with Prometheus and Grafana

• Motivations
• Types of Monitoring
• Definition
• Prometheus
• Grafana