mirror of
https://github.com/jpetazzo/container.training.git
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133 lines
3.2 KiB
Markdown
133 lines
3.2 KiB
Markdown
class: title
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*Tell me and I forget.*
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<br/>
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*Teach me and I remember.*
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<br/>
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*Involve me and I learn.*
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Misattributed to Benjamin Franklin
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[(Probably inspired by Chinese Confucian philosopher Xunzi)](https://www.barrypopik.com/index.php/new_york_city/entry/tell_me_and_i_forget_teach_me_and_i_may_remember_involve_me_and_i_will_lear/)
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---
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## Hands-on sections
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- There will be *a lot* of examples and demos
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- If you are attending a live workshop:
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- follow along with the demos, ask questions at any time
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- if you can, try to run some of the examples and demos in your environment
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- if things are going too fast, ask the trainer to slow down :)
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- If you are watching a recording or only reading the slides:
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- it is **strongly** recommended to run **all** the examples and demos
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- take advantage of the fact that you can pause at any time
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---
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class: in-person
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## Where are we going to run our containers?
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---
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class: in-person, pic
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---
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## If you're attending a live training or workshop
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- Each person gets a private lab environment
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- Your lab environments will be available for the duration of the workshop
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(check with your instructor to know exactly when they'll be shut down)
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- Note that for budget reasons¹, your environment will be fairly modest
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- scenario 1: 4 nodes with 2 cores and 4 GB RAM ; no cluster autoscaling
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- scenario 2: 1 node with 4 cores and 8 GB RAM ; cluster autoscaling
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.footnote[¹That cloud thing is mighty expensive, yo]
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---
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## Running your own lab environment
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- If you are following a self-paced course...
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- Or watching a replay of a recorded course...
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- ...You will need to set up a local environment for the labs
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*or*
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- If you want to use a specific cloud provider...
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- Or want to see these concepts "at scale"...
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- ...You can set up your own clusters with whatever capacity suits you
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---
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## Deploying your own Kubernetes cluster
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- You need cloud provider credentials for this
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- Option 1: use the cloud provider CLI, web UI, ...
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- Option 2: use [one of these Terraform configurations][one-kubernetes]
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(set `cluster_name`, `node_size`, `max_nodes_per_pool`, `location`, and GO!)
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[one-kubernetes]: https://github.com/jpetazzo/container.training/tree/main/prepare-labs/terraform/one-kubernetes
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---
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## Deploying your own Kubernetes cluster.red[**s**]
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- If you want to deliver your own training or workshop:
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- deployment scripts are available in the [prepare-labs] directory
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- you can use them to automatically deploy many lab environments
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- they support many different infrastructure providers
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- they can deploy dozens (even hundreds) of clusters at a time
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[prepare-labs]: https://github.com/jpetazzo/container.training/tree/main/prepare-labs
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---
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class: in-person
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## Why don't we run containers locally?
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- Installing this stuff can be hard on some machines
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(32 bits CPU or OS... Laptops without administrator access... etc.)
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- *"The whole team downloaded all these container images from the WiFi!
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<br/>... and it went great!"* (Literally no-one ever)
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- All you need is a computer (or even a phone or tablet!), with:
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- an Internet connection
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- a web browser
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- an SSH client
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- Some of the demos require multiple nodes to demonstrate scaling
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