Setup a Kubernetes Developer Cluster using
kind
running in GitHub Codespaces
GitHub Codespaces is currently in preview
- An invitation will be sent to you during the live Spark session
- You must have a GitHub ID with 2FA enabled
- You must accept the invitation
- via the email link
- via https://github.com/asb-spark
- You will have access to Codespaces on the repo until August 1
- If you have
dotfiles
that use zsh, please use bash for the Spark live event- If you use zsh after the live event, we LOVE PRs
- Click the
Code
button on your repo - Click
Open with Codespaces
- Click
New Codespace
- Choose the
4 core option
- When prompted, choose
Open Workspace
make all
Output from make all
should resemble this
default fluentb 1/1 Running 0 31s
default jumpbox 1/1 Running 0 25s
default webv 1/1 Running 0 31s
default ngsa-memory 1/1 Running 0 33s
monitoring grafana-64f7dbcf96-cfmtd 1/1 Running 0 32s
monitoring prometheus-deployment-67cbf97f84-tjxm7 1/1 Running 0 32s
- All endpoints are usable in your browser via clicking on the
Ports (4)
tab- Select the
open in browser icon
on the far right
- Select the
- Some popup blockers block the new browser tab
- If you get a gateway error, just hit refresh - it will clear once the port-forward is ready
# check endpoints
make check
- From the Codespace terminal window, start
k9s
- Type
k9s
and press enter - Press
0
to select all namespaces - Wait for all pods to be in the
Running
state (look for theSTATUS
column) - Use the arrow key to select
nsga-memory
then press thel
key to view logs from the pod - To go back, press the
esc
key - To view other deployed resources - press
shift + :
followed by the deployment type (e.g.secret
,services
,deployment
, etc). - To exit -
:q <enter>
- Type
Open curl.http
curl.http is used in conjuction with the Visual Studio Code REST Client extension.
When you open curl.http, you should see a clickable
Send Request
text above each of the URLs
Clicking on Send Request
should open a new panel in Visual Studio Code with the response from that request like so:
A jump box
pod is created so that you can execute commands in the cluster
-
use the
kj
aliaskubectl exec -it jumpbox -- bash -l
- note: -l causes a login and processes
.profile
- note:
sh -l
will work, but the results will not be displayed in the terminal due to a bug
- note: -l causes a login and processes
-
use the
kje
aliaskubectl exec -it jumpbox --
-
example
- run http against the ClusterIP
kje http ngsa-memory:8080/version
- run http against the ClusterIP
-
Click on the
ports
tab of the terminal window -
Click on the
open in browser icon
on the Prometheus port (30000) -
This will open Prometheus in a new browser tab
-
From the Prometheus tab
- Begin typing NgsaAppDuration_bucket in the
Expression
search - Click
Execute
- This will display the
histogram
that Grafana uses for the charts
- Begin typing NgsaAppDuration_bucket in the
-
Grafana login info
- admin
- akdc-512
-
Once
make all
completes successfully- Click on the
ports
tab of the terminal window - Click on the
open in browser icon
on the Grafana port (32000) - This will open Grafana in a new browser tab
- Click on the
- Click on
Home
at the top of the page - From the dashboards page, click on
NGSA
# from Codespaces terminal
# run a baseline test (will generate warnings in Grafana)
make test
# run a 60 second load test
make load-test
- Switch to the Grafana brower tab
- The test will generate 400 / 404 results
- The requests metric will go from green to yellow to red as load increases
- It may skip yellow
- As the test completes
- The metric will go back to green (1.0)
- The request graph will return to normal
- Start
k9s
from the Codespace terminal - Select
fluentb
and pressenter
- Press
enter
again to see the logs - Press
s
to Toggle AutoScroll - Press
w
to Toggle Wrap - Review logs that will be sent to Log Analytics when configured
- Switch back to your Codespaces tab
# from Codespaces terminal
# make and deploy a local version of WebV to k8s
make webv
- Switch back to your Codespaces tab
# from Codespaces terminal
# make and deploy a local version of ngsa-memory to k8s
make app
Makefile is a good place to start exploring
- Why don't we use helm to deploy Kubernetes manifests?
- The target audience for this repository is app developers who are beginning their Kubernetes journey so we chose simplicity for the Developer Experience.
- In our daily work, we use Helm for deployments and it is installed in the
.devcontainer
should you want to use it.
- Team Working Agreement
- Team Engineering Practices
- CSE Engineering Fundamentals Playbook
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