Elastic k8s workshop

Prepare cloud VM

# Install on cloud Debian9 machines (2 cores 8GB RAM) - Strigo, GCP, etc
sudo apt install git tmux -y

git clone https://github.com/michaelhyatt/k8s-o11y-workshop.git

$HOME/k8s-o11y-workshop/install/install-debian9.sh
cd ~/k8s-o11y-workshop

kubectl create -f $HOME/k8s-o11y-workshop/kube-state-metrics

Elastic Cloud

Create cloud cluster and record the following to be populated in install/create_secrets.sh script:

cloud_id=...
cloud_auth=...
apm_url=...
apm_token=...

Labs: Prepare the server

# Refresh the latest repo
cd $HOME/k8s-o11y-workshop && git pull && cd -

# Start minikube locally
$HOME/k8s-o11y-workshop/install/start_k8s.sh

# Update with Cloud cluster details and create secrets credentials
# Use vi, nano, Theia (as below)
nano $HOME/k8s-o11y-workshop/install/create_secrets.sh
$HOME/k8s-o11y-workshop/install/create_secrets.sh

# Init Kibana, Elasticsearch mappings and templates
$HOME/k8s-o11y-workshop/install/init_beats.sh

Labs

# Deploy metricbeat, filebeat and packetbeat
kubectl create -f $HOME/k8s-o11y-workshop/filebeat/filebeat.yml
kubectl create -f $HOME/k8s-o11y-workshop/metricbeat/metricbeat.yml
kubectl create -f $HOME/k8s-o11y-workshop/packetbeat/packetbeat.yml

# Deploy MySQL DB
kubectl create -f $HOME/k8s-o11y-workshop/mysql/mysql.yml

# Deploy petclinic and nginx
kubectl create -f $HOME/k8s-o11y-workshop/petclinic/petclinic.yml
kubectl create -f $HOME/k8s-o11y-workshop/nginx/nginx.yml

Open code editor

Use the public DNS and port 30083 to access web based Theia editor http://public-dns-or-ip-address:30083

Petclinic UI

Use the public DNS and port 30080 to access petclinic UI http://public-dns-or-ip-address:30080

Run Jupyter connected to Elastic Cloud cluster

Start Jupyter pod:

kubectl create --namespace=kube-system -f $HOME/k8s-o11y-workshop/jupyter/jupyter.yml

Use the public DNS and port 30081 to access the Jupyter UI http://public-dns-or-ip-address:30081. Example notebook scripts/example.ipynb shows how to connect to Elastic Cloud cluster and use the data in pandas.

TODO:

• MySQL slowlog
• K8s security with beats
• Security in multi-user multi-namespace deployments
• On Exception page, transaction is null, layout template needs fix to forward with port number included
• Redirect at the end of the update is broken
• Load generator
• ML and alerting setup