Kind Dev Cluster on Codespaces (Spark)

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 bash, please use zsh for the Spark live event

Open with Codespaces

• Click the Code button on your repo
• Click Open with Codespaces
• Click New Codespace
• Choose the 4 core option

Open Workspace

• When prompted, choose Open Workspace

Build and Deploy Cluster

make all

Validate Deployment

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

Service endpoints

• All endpoints are usable in your browser via clicking on the Ports (4) tab
  • Select the open in browser icon on the far right
• 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

Validate deployment with k9s

• 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 the STATUS column)
  • Use the arrow key to select nsga-memory then press the l 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>

Other interesting endpoints

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:

Jump Box

A jump box pod is created so that you can execute commands in the cluster

• use the kj alias

  • kubectl 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

• use the kje alias

  • kubectl exec -it jumpbox --

• example

  • run http against the ClusterIP
    • kje http ngsa-memory:8080/version

View Prometheus Dashboard

• 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

Launch Grafana Dashboard

• 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

View Grafana Dashboard

• Click on Home at the top of the page
• From the dashboards page, click on NGSA

Run a load test

# 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

View Fluent Bit Logs

• Start k9s from the Codespace terminal
• Select fluentb and press enter
• 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

Build and deploy a local version of WebValidate

• Switch back to your Codespaces tab

# from Codespaces terminal

# make and deploy a local version of WebV to k8s
make webv

Build and deploy a local version of ngsa-memory

• Switch back to your Codespaces tab

# from Codespaces terminal

# make and deploy a local version of ngsa-memory to k8s
make app

Next Steps

Makefile is a good place to start exploring

FAQ

• 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.

Engineering Docs

• Team Working Agreement
• Team Engineering Practices
• CSE Engineering Fundamentals Playbook

How to file issues and get help

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.

Contributing

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 [email protected] with any additional questions or comments.

Trademarks

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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.