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
This project uses GitHub Issues to track bugs and feature requests. Please search the existing issues before filing new issues to avoid duplicates. For new issues, file your bug or feature request as a new issue.
For help and questions about using this project, please open a GitHub issue.
This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com
When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.
This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.
This project may contain trademarks or logos for projects, products, or services.
Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft's Trademark & Brand Guidelines.
Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship.
Any use of third-party trademarks or logos are subject to those third-party's policies.