Added Macro View and Consolidated Training Environment

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Gerry S
2022-07-25 08:54:34 -04:00
parent 7d6871ad82
commit 047bed4acd
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class: title
# The Macroscopic View
---
## Macroscopic Items
* The business case for containers
* The problem containers are solving
* What applications need
* What is the OS doing provides?
---
## What do CIOs worry about?
Who are the CIO's customers?
* Business Units: Need Computers to Run Applications
* Peak Capacity
* CFO: Demanding Budget Justifications
* Spend Less
---
## History of Solutions
For Each Business Application Buy a Machine
* Buy a machine for each application
* Big enough for Peak Load (CPU, Memory, Disk)
The Age of VMs
* Buy bigger machines and chop them up into logical machines
* Distribute your applications as VMs theses machines
* Observe what and when the application load actually is
* Possibly rebalance be to inform possibly moving
But Maintaining Machines (Bare Metal or VM) is hard (Patches, Packages, Drivers, etc)
---
## What Developers and Ops worry about
* Getting Software deployed
* Mysterious reasons why deployed application doesn't work
* Developer to Ops:
* "Hey it works on my development machine..."
* "I don't know why it isn't working for ***you***"
* "Everything ***looks*** the same"
* "I have no idea what could be different"
---
## The History of Software Deployment
Software Deployment is just a reproducible way to install files:
* Cards
* Tapes
* Floppy Disks
* Zip/Tar Files
* Installation "Files" (rpm/deb/msi)
* VM Images
---
## What is the Problem Containers are Solving?
It depends on who you are:
* For the CIO: Better resource utilization
* For Ops: Software Distribution
* For the Developer & Ops: Reproducible Environment
<BR><BR>
Ummm, but what exactly are containers....
* Wait a few more slides...
---
## Macroscopic view: Applications and the OS
Applications:
* What are the inputs/outputs to a program?
The OS:
* What does the OS provide?
---
## What are the inputs/outputs to a program?
Explicitly:
* Command Line Arguments
* Environment Variables
* Standard In
* Standard Out/Err
Implicitly (via the File System):
* Configuration Files
* Other Installed Applications
* Any other files
Also Implicitly
* Memory
* Network
---
## What does the OS provide?
* OS Kernel
* Kernel loded at boot time
* Sets up disk drives, network cards, other hardware, etc
* Manages all hardware, processes, memory, etc
* Kernel Space
* Low level innards of Kernel (fluid internal API)
* No direct access by applications of most Kernel functionality
* User Space (userland) Processes
* Code running outside the Kernel
* Very stable shim library access from User Space to Kernel Space (Think "fopen")
* The "init" Process
* User Space Process run after Kernel has booted
* Always PID 1
---
## OS Processes
* Created when an application is launched
* Each has a unique Process ID (PID)
* Provides it its own logical 'view' of all implicit inputs/output when launching app
* File System ( root directory, / )
* Memory
* Network Adaptors
* Other running processes
---
## What do we mean by "The OS"
Different Linux's
* Ubuntu / Debian; Centos / RHEL; Raspberry Pi; etc
What do they have in common?
* They all have a kernel that provides access to Userland (ie fopen)
* They typically have all the commands (bash, sh, ls, grep, ...)
What may be different?
* May use different versions of the Kernel (4.18, 5.4, ...)
* Internally different, but providing same Userland API
* Many other bundled commands, packages and package management tools
* Namely what makes it 'Debian' vs 'Centos'
---
## What might a 'Minimal' Linux be?
You could actually just have:
* A Linux Kernel
* An application (for simplicity a statically linked C program)
* The kernel configured to run that application as its 'init' process
Would you ever do this?
* Why not?
* It certainly would be very secure
---
## So Finally... What are Containers?
Containers just a Linux process that 'thinks' it is it's own machine
* With its own 'view' of things like:
* File System ( root directory, / ), Memory, Network Adaptors, Other running processes
* Leverages our understanding that a (logical) Linux Machine is
* A kernel
* A bunch of files ( Maybe a few Environment Variables )
Since it is a process running on a host machine
* It uses the kernel of the host machine
* And of course you need some tools to create the running container process
---
## Container Runtimes and Container Images
The Linux kernel actually has no concept of a container.
* There have been many 'container' technologies
* See [A Brief History of containers: From the 1970's till now](https://blog.aquasec.com/a-brief-history-of-containers-from-1970s-chroot-to-docker-2016)
* Over the years more capabilities have been added to the kernel to make it easier
<BR>
A 'Container technology' is:
* A Container Image Format of the unit of software deployment
* A bundle of all the files and miscellaneous configuration
* A Container Runtime Engine
* Software that takes a Container Image and creates a running container
---
## The Container Runtime War is now Over
The Cloud Native Computing Foundation (CNCF) has standardized containers
* A standard container image format
* A standard for building and configuring container runtimes
* A standard REST API for loading/downloading container image to a registries
There primary Container Runtimes are:
* containerd: using the 'docker' Command Line Interface (or Kubernetes)
* CRI-O: using the 'podman' Command Line Interface (or Kubernetes/OpenShift)
* Others exists, for example Singularity which has a history in HPC
---
## Linux Namespaces Makes Containers Possible
- Provide processes with their own isolated view of the system.
- Namespaces limit what you can see (and therefore, what you can use).
- These namespaces are available in modern kernels:
- pid: processes
- net: network
- mnt: root file system (ie chroot)
- uts: hostname
- ipc
- user: UID/GID mapping
- time: time
- cgroup: Resource Monitoring and Limiting
- Each process belongs to one namespace of each type.
---
## Namespaces are always active
- Namespaces exist even when you don't use containers.
- This is a bit similar to the UID field in UNIX processes:
- all processes have the UID field, even if no user exists on the system
- the field always has a value / the value is always defined
<br/>
(i.e. any process running on the system has some UID)
- the value of the UID field is used when checking permissions
<br/>
(the UID field determines which resources the process can access)
- You can replace "UID field" with "namespace" above and it still works!
- In other words: even when you don't use containers,
<br/>there is one namespace of each type, containing all the processes on the system.

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class: title
# Our training environment
![SSH terminal](images/title-our-training-environment.jpg)
---
class: in-person
## Connecting to your Virtual Machine
You need an SSH client.
* On OS X, Linux, and other UNIX systems, just use `ssh`:
```bash
$ ssh <login>@<ip-address>
```
* On Windows, if you don't have an SSH client, you can download:
* Putty (www.putty.org)
* Git BASH (https://git-for-windows.github.io/)
* MobaXterm (https://mobaxterm.mobatek.net/)
---
class: in-person
## Connecting to our lab environment
.lab[
- Log into your VM with your SSH client:
```bash
ssh `user`@`A.B.C.D`
```
(Replace `user` and `A.B.C.D` with the user and IP address provided to you)
]
You should see a prompt looking like this:
```
[A.B.C.D] (...) user@node1 ~
$
```
If anything goes wrong — ask for help!
---
## Our Docker VM
About the Lab VM
- The VM is created just before the training.
- It will stay up during the whole training.
- It will be destroyed shortly after the training.
- It comes pre-loaded with Docker and some other useful tools.
---
## Why don't we run Docker locally?
- I can log into your VMs to help you with labs
- Installing docker is out of the scope of this class (lots of online docs)
- It's better to spend time learning containers than fiddling with the installer!
---
class: in-person
## `tailhist`
- The shell history of the instructor is available online in real time
- Note the IP address of the instructor's virtual machine (A.B.C.D)
- Open http://A.B.C.D:1088 in your browser and you should see the history
- The history is updated in real time (using a WebSocket connection)
- It should be green when the WebSocket is connected
(if it turns red, reloading the page should fix it)
- If you want to play with it on your lab machine, tailhist is installed
- sudo apt install firewalld
- sudo firewall-cmd --add-port=1088/tcp
---
## Checking your Virtual Machine
Once logged in, make sure that you can run a basic Docker command:
.small[
```bash
$ docker version
Client:
Version: 18.03.0-ce
API version: 1.37
Go version: go1.9.4
Git commit: 0520e24
Built: Wed Mar 21 23:10:06 2018
OS/Arch: linux/amd64
Experimental: false
Orchestrator: swarm
Server:
Engine:
Version: 18.03.0-ce
API version: 1.37 (minimum version 1.12)
Go version: go1.9.4
Git commit: 0520e24
Built: Wed Mar 21 23:08:35 2018
OS/Arch: linux/amd64
Experimental: false
```
]
If this doesn't work, raise your hand so that an instructor can assist you!
???
:EN:Container concepts
:FR:Premier contact avec les conteneurs
:EN:- What's a container engine?
:FR:- Qu'est-ce qu'un *container engine* ?
---
## Doing or re-doing the workshop on your own?
- Use something like
[Play-With-Docker](http://play-with-docker.com/) or
[Play-With-Kubernetes](https://training.play-with-kubernetes.com/)
Zero setup effort; but environment are short-lived and
might have limited resources
- Create your own cluster (local or cloud VMs)
Small setup effort; small cost; flexible environments
- Create a bunch of clusters for you and your friends
([instructions](https://@@GITREPO@@/tree/master/prepare-vms))
Bigger setup effort; ideal for group training
---
class: self-paced
## Get your own Docker nodes
- If you already have some Docker nodes: great!
- If not: let's get some thanks to Play-With-Docker
.lab[
- Go to http://www.play-with-docker.com/
- Log in
- Create your first node
<!-- ```open http://www.play-with-docker.com/``` -->
]
You will need a Docker ID to use Play-With-Docker.
(Creating a Docker ID is free.)
---
## Terminals
Once in a while, the instructions will say:
<br/>"Open a new terminal."
There are multiple ways to do this:
- create a new window or tab on your machine, and SSH into the VM;
- use screen or tmux on the VM and open a new window from there.
You are welcome to use the method that you feel the most comfortable with.
---
## Tmux cheat sheet
[Tmux](https://en.wikipedia.org/wiki/Tmux) is a terminal multiplexer like `screen`.
*You don't have to use it or even know about it to follow along.
<br/>
But some of us like to use it to switch between terminals.
<br/>
It has been preinstalled on your workshop nodes.*
- Ctrl-b c → creates a new window
- Ctrl-b n → go to next window
- Ctrl-b p → go to previous window
- Ctrl-b " → split window top/bottom
- Ctrl-b % → split window left/right
- Ctrl-b Alt-1 → rearrange windows in columns
- Ctrl-b Alt-2 → rearrange windows in rows
- Ctrl-b arrows → navigate to other windows
- Ctrl-b d → detach session
- tmux attach → re-attach to session

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title: |
Docker & Kubernetes
chat: "[Teams](#FIXME)"
chat: "Zoom"
gitrepo: github.com/jpetazzo/container.training
@@ -18,13 +18,16 @@ content:
- containers/intro.md
- shared/about-slides.md
- shared/chat-room-im.md
- shared/chat-room-zoom-meeting.md
#- shared/chat-room-zoom-webinar.md
#- shared/toc.md
# - shared/chat-room-zoom-meeting.md
- shared/chat-room-zoom-webinar.md
- shared/toc.md
- # DAY 1
#- containers/Docker_Overview.md
#- containers/Docker_History.md
- containers/Training_Environment.md
- containers/Training_Environment_And_Tmux.md
- containers/Macro_View.md
# - containers/Macro_View_What_Is_The_Problem.md
# - containers/Macro_View_of_Apps_and_OS.md
#- containers/Installing_Docker.md
- containers/First_Containers.md
- containers/Background_Containers.md