Getting started with docker

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Presentation about Docker: 2016 Trends: * Microservices: load balancing and orchestration * Cloud * Continuos integration * Environment-less deployment What are containers? Why Docker? Docker project Docker. Inc Docker VS VM Docker basics Some statistics about Docker and some Docker use case insights Docker compose configuration file: http://www.mediafire.com/download/lfmfzrkgn9wzegm/docker-compose.yml Présentation link: https://docs.google.com/presentation/d/1x11EgUqBVLAl70p53rZ-nJoLlL6FoZd2KbvTRxyVp1g/pub?start=false&loop=false&delayms=3000

Software

Remember to tweet photos with #dockertunisia,
to say to Docker community “we are here”

2016 Trends
● Microservices: load balancing and orchestration
● Cloud
● Environment-less deployment
● Analytics
● Caching
● Continuous integration

Nowadays applications needs many technologies

You have to take into consideration!
● Technologies requirements: compatibility
● Portability: build once, run everywhere
● Keeping your system clean and healthy
● Performance

The Matrix From Hell: configuring every deployment environment

What We Need
A solution to run each technology on its own environment, without worrying
about its compatibility, test, integration and portability.

The Solutions Over Time
● Virtual machines
● Free BSD Jails
● Solaris zones
● LXC: Linux Containers

What Are Containers
● Operating System virtualisation
● Isolated user space instances in term of process and file system
● Shares host Linux kernel
● Container is a standard format
● Easily portable across environment
● Packages up software binaries and dependencies

What about Docker: Build, Ship and Run everywhere

Docker in 2013
A lightweight runtime and robust tooling to build and run virtual
containers on Linux to create the operating environment for your
distributed applications.

Docker in 2016
A Containers as a Service (CaaS) platform which enables an IT Ops
managed and secure application environment (infrastructure and
content) for developer self service to build and deploy applications.

Docker Image Layers explained :D
https://www.youtube.com/watch?v=ip00SoqOzfY

Docker Basics
Docker Compose let you
define, automate and run multi-
container applications.

Docker Basics
Docker Data Center brings
container management and
deployment to enterprises with a
production ready platform
supported by Docker.

Statistics About Docker
● 2B+ Docker Image pulls
● 2000+ contributors
● 40K+ GitHub stars
● 200K+ Dockerized Apps
● 240 Meetups in 70 countries
● 95K+ Meetup Members

BUT! Try to keep your containers like this

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Hypervisor "versus" Linux Containers! Docker is an open-source engine that automates the deployment of any application as a lightweight, portable, self-sufficient container that will run virtually anywhere. Less hardware, less pain and more scalability in production, on VMs, bare-metal servers, OpenStack clusters, public instances, or combinations of the above. "Do more with less " and this is all that matters! Automation of server and applications deployments never had been so easy and fast that ever. Also brings produtivity to a new level, in the DataCenters and Cloud Environments. Francisco Gonçalves (Dec2013 ( francis.goncalves@gmail.com )

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Introduction to Containers - From Docker to Kubernetes and everything in between Presented at: Open Source 101 at Home 2020 Presented by: Brent Laster, SAS Abstract: In this workshop, students will get a quick overview of what containers are and why they form the basis for many of the key technologies that we use today in cloud environments. We’ll explore what makes up a container and how they are managed and leveraged in key industry tooling including Docker, Kubernetes, Helm, and Istio. You’ll also learn the basics of these technologies, what they are used for, and see some simple examples of how to use them. This workshop will include hands-on labs where you will get experience: - Building container images, running them as containers, and tagging and pushing them into a Docker repository. - Creating deployments, services, and pods for containers and instantiating and running those in Kubernetes. - Working with Helm to leverage templates for Kubernetes objects and managing releases in Kubernetes. - Working with Istio to do traffic shaping between multiple versions of your app, fault and delay injection for testing and validation in Kubernetes. We’ll also briefly cover GitOps – the recommend Git-based way to manage infrastructure like your Kubernetes cluster. For more info: https://opensource101.com

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Presented by: Brent Laster, SAS Presented at All Things Open 2020 Abstract: In this workshop, students will get a quick overview of what containers are and why they form the basis for many of the key technologies that we use today in cloud environments. We’ll explore what makes up a container and how they are managed and leveraged in key industry tooling including Docker, Kubernetes, Helm, and Istio. You’ll also learn the basics of these technologies, what they are used for, and see some simple examples of how to use them. This workshop will include hands-on labs where you will get experience: Building container images, running them as containers, and tagging and pushing them into a Docker repository. Creating deployments, services, and pods for containers and instantiating and running those in Kubernetes. Working with Helm to leverage templates for Kubernetes objects and managing releases in Kubernetes. Working with Istio to do traffic shaping between multiple versions of your app, fault and delay injection for testing and validation in Kubernetes. We’ll also briefly cover GitOps – the recommended Git-based way to manage infrastructure like your Kubernetes cluster.

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Kubernetes can run application containers on clusters of physical or virtual machines. It can also do much more than that. Kubernetes satisfies a number of common needs of applications running in production, such as co-locating helper processes, mounting storage systems, distributing secrets, application health checking, replicating application instances, horizontal auto-scaling, load balancing, rolling updates, and resource monitoring. However, even though Kubernetes provides a lot of functionality, there are always new scenarios that would benefit from new features. Ad hoc orchestration that is acceptable initially often requires robust automation at scale. Application-specific workflows can be streamlined to accelerate developer velocity. This is why Kubernetes was also designed to serve as a platform for building an ecosystem of components and tools to make it easier to deploy, scale, and manage applications. The Kubernetes control plane is built upon the same APIs that are available to developers and users, implementing resilient control loops that continuously drive the current state towards the desired state. This design has enabled Apache Stratos and a number of other Platform as a Service and Continuous Integration and Deployment systems to build atop Kubernetes. This presentation introduces Kubernetes’s core primitives, shows how some of its better known features are built on them, and introduces some of the new capabilities that are being added.

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Traditional virtualization technologies have been used by cloud infrastructure providers for many years in providing isolated environments for hosting applications. These technologies make use of full-blown operating system images for creating virtual machines (VMs). According to this architecture, each VM needs its own guest operating system to run application processes. More recently, with the introduction of the Docker project, the Linux Container (LXC) virtualization technology became popular and attracted the attention. Unlike VMs, containers do not need a dedicated guest operating system for providing OS-level isolation, rather they can provide the same level of isolation on top of a single operating system instance. An enterprise application may need to run a server cluster to handle high request volumes. Running an entire server cluster on Docker containers, on a single Docker host could introduce the risk of single point of failure. Google started a project called Kubernetes to solve this problem. Kubernetes provides a cluster of Docker hosts for managing Docker containers in a clustered environment. It provides an API on top of Docker API for managing docker containers on multiple Docker hosts with many more features.

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Getting started with docker

2. About me Jemli Fathi ● Software engineer ● Tunisian Big Data and Cloud Computing Community member ● Docker Community member Em@il: jemlifathi2013@gmail.com Twitter: @JemliFathi YouTube: https://www.youtube.com/channel/UC5JtJxDWUoiUrM124Wi9XTw

3. Remember to tweet photos with #dockertunisia, to say to Docker community “we are here”

4. 2016 Trends ● Microservices: load balancing and orchestration ● Cloud ● Environment-less deployment ● Analytics ● Caching ● Continuous integration

5. Yesterday VS Now

6. Nowadays applications needs many technologies

7. Too many choices. Right?

8. BUT!

9. You have to take into consideration! ● Technologies requirements: compatibility ● Portability: build once, run everywhere ● Keeping your system clean and healthy ● Performance

10. The Matrix From Hell: configuring every deployment environment

11. Doing this every day

12. What We Need A solution to run each technology on its own environment, without worrying about its compatibility, test, integration and portability.

13. The Solutions Over Time ● Virtual machines ● Free BSD Jails ● Solaris zones ● LXC: Linux Containers

14. What Are Containers ● Operating System virtualisation ● Isolated user space instances in term of process and file system ● Shares host Linux kernel ● Container is a standard format ● Easily portable across environment ● Packages up software binaries and dependencies

15. What about Docker: Build, Ship and Run everywhere

16. Docker in 2013 A lightweight runtime and robust tooling to build and run virtual containers on Linux to create the operating environment for your distributed applications.

17. Docker in 2016 A Containers as a Service (CaaS) platform which enables an IT Ops managed and secure application environment (infrastructure and content) for developer self service to build and deploy applications.

18. Docker VS VM

19. Docker VS VM

20. Docker System

21. Docker Basics

22. Docker Image Layers

23. Docker Image Layers explained :D https://www.youtube.com/watch?v=ip00SoqOzfY

24. Docker Basics Docker Compose let you define, automate and run multi- container applications.

25. Docker Basics Docker Data Center brings container management and deployment to enterprises with a production ready platform supported by Docker.

26. Docker Landscape

27. Statistics About Docker ● 2B+ Docker Image pulls ● 2000+ contributors ● 40K+ GitHub stars ● 200K+ Dockerized Apps ● 240 Meetups in 70 countries ● 95K+ Meetup Members

28. Docker Insights

29. Docker Insights

30. Docker Insights

31. In Love with Docker

32. BUT! Try to keep your containers like this

33. Not like this!

34. Demo time