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