The document discusses various aspects of Docker, including its architecture, components, and recent updates in Docker EE (Enterprise Edition). It emphasizes the importance of optimizing Docker images and provides guidance on managing layer complexity and choosing appropriate base images. Additionally, it includes links to resources for learning and utilizing Docker effectively.

1. Docker Deep Dive

2. @appasionatechie
• a.k.a Arati Kulkarni
• Devops Engineer @AppOrbit
• Docker Meetup Group Pune Co-organizer
• https://apassionatechie.wordpress.com/

3. History of Containers

4. Docker Architecture

5. Docker Components

6. Docker+Containerd

7. Containerd Roadmap

8. Docker Announcements
• Kubernetes + Swarm (Single Cluster and Management Pane) Docker EE (18.06)
• Supported Solution for Running Containers on Windows Server 2016 Docker EE (18.06)
• Secure Application Zone (Resource Set+RBAC+k8s namespace) Docker EE (18.06)
• Federated Application Management Across Multi-Cloud Environments Docker EE (18.06)
• Template-based workflows for Docker Desktop (Deploy containers on docker without learning it) Docker EE (18.06)
• Deploying and Benchmarking Open Source Serverless Frameworks Docker EE (18.06)
• Hybrid-OS Cluster (17.06)
• Enhanced RBAC (Custom Roles, Subject, Collections, Grant, RBAC for nodes) (17.06)
• Automated Image Promotion and Immutable Repos (17.06)
• Multi-stage builds (17.06)
• Moby project and LinuxKit (17.03)
• Docker MTA (17.03)
• Docker donates containerd to CNCF (17.03)
• Default storage driver changed from devicemapper to overlay2 and —experimental flag (1.13)
• Docker engine archived (docker CE/EE + Docker Datacenter) (1.13)
• Docker Swarm Mode (1.12)
• Docker for Mac/Windows (1.12)
• Docker Content Trust (1.8)

9. Docker Milestones

10. We need smaller docker images!
But, why?

11. How long does it take…
When you pull images?
When you build images?
When you cache images?
When you push images?
When you deploy containers?

12. Less is more!
But smaller images
are not always
better…

13. Optimising Our Images
• Choosing the right base image
• Managing files
• Managing the layers
• Cleaning up the images
• Architecting images

14. • Graphviz
• Microbadger
• Portainer
• Docker commands

15. The right questions
What can we exclude from the images?
Is there a better base image to use?
What can we avoid repeating?
Can we move complexity to/from build time?
Can we reduce layers in our Dockerfile?

16. Do what is right for
your application

17. • https://
www.katacoda.com/
courses/docker
• https://training.play-with-
docker.com/
• https://labs.play-with-
docker.com/
• https://blog.docker.com/
• https://blog.alexellis.io/