Docker Advanced

1. Introduction
   

   1. History and reasons for using Docker
      

   2. GNU / Linux containers (LXC, openvz)
      

   3. Why Docker?
      

   4. Docker and its industrialization in 2020 (Kubernetes, Swarm, Mesosphere, ...)
      

   5. Docker architecture
      

   6. The Docker ecosystem
      

   7. Docker editions (CE / EE)
      

2. The basics with Docker
   

   1. Installing Docker (Linux / Mac / Windows)
      

   2. Life cycle of a container
      

   3. Working with containers
      

   4. Working with images
      

   5. The Dockerfile
      

   6. The Docker Hub and automatic construction
      

   7. Network configuration
      

   8. Volumes and mounting points
      

   9. Persistence of volumes
      

   10. Backing up volumes
       

   11. Connecting and linking containers

1. Multi-container application with Docker Compose
   

   1. Getting started
      

   2. Coded infrastructure (docker-compose.yml)
      

   3. Application deployment using docker-compose
      

   4. Administration of micro-services via docker-compose
      

2. Orchestration and clustering
   

   1. Principles and concepts of clustering (Manager and Worker nodes)
      

   2. Principles and concepts of scalability (double horizontal scalability with vertical monitoring - scaling of nodes and containers)
      

   3. Managed offerings from public cloud providers related to containers
      

   4. Docker-machine
      

   5. Swarm
      

      1. Getting started
         

      2. Basic concepts, paralleling with docker-compose
         

   6. Kubernetes
      

      1. Getting started
         

      2. Basic concepts, parallel with Swarm
         

   7. Monitoring and graphology
      

   8. Secrets and management of sensitive data
      

3. Secure Docker
   

4. The Docker API
   

5. Docker in Production
   

6. Using Docker in a Delivery and Continuous Integration Environment
   

7. Deployment of a container management solution at a public cloud provider.
   

The exercises will be carried out on the command line, on AWS instances, in a Linux environment (Ubuntu distribution). Each participant will receive by email their SSH key to access their EC2 instance in order to carry out the practical work on Docker.