xsqian

kubectl -n kube-system describe secret $(kubectl -n kube-system get secret | grep admin-user | awk '{print $1}')

export CLUSTER_IP=$(kubectl get services/webapp1-clusterip-svc -o go-template='{{(index .spec.clusterIP)}}')
echo CLUSTER_IP=$CLUSTER_IP
curl $CLUSTER_IP:80

sed -i 's/HOSTIP/172.17.0.16/g' externalip.yaml

export LoadBalancerIP=$(kubectl get services/webapp1-loadbalancer-svc -o go-template='{{(index .status.loadBalancer.ingress 0).ip}}')
echo LoadBalancerIP=$LoadBalancerIP

xsqian

 sed -i '' '/charset=latin1/d' ./not-appliable.sql

xsqian

find . -name '*.js' -exec grep -i 'NPM_TOKE' {} \; -print

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host = db.serverStatus().host;

prompt = function() {
             return db+"@"+host+"$ ";
         }
         
or to get the uptime and total number of documents

prompt = function() {
           return "Uptime:"+db.serverStatus().uptime+" Documents:"+db.stats().objects+" > ";

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sudo lsof -i :27017 # checks port 27017

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{
    "deviceId": "devA",
    "etag": "AAAAAAAAAAc=", 
    "status": "enabled",
    "statusReason": "provisioned",
    "statusUpdateTime": "0001-01-01T00:00:00",
    "connectionState": "connected",
    "lastActivityTime": "2015-02-30T16:24:48.789Z",
    "cloudToDeviceMessageCount": 0, 
    "authenticationType": "sas",

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apiVersion: extensions/v1beta1
kind: DaemonSet
metadata:
  name: datadog-agent
spec:
  template:
    metadata:
      labels:
        app: datadog-agent
      name: datadog-agent

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{
  "AWSTemplateFormatVersion": "2010-09-09",
  "Parameters": {
    "PrestoCoordinatorURL": {
      "Description": "URL of the Presto Server. example: http://ec2-xx-xx-xx-xx.compute-1.amazonaws.com:8889",
      "Type": "String"    
    },
    "AirpalPort": {
      "Description": "Airpal Port",
      "Type": "String",

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echo -n -e "\033]0;My Terminal Title\007"

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import tensorflow as tf
x = tf.constant(5, name='x')
y = tf.constant(8, name='y')
z = tf.Variable(2*x+3*y, name='z')
model = tf.global_variables_initializer()

with tf.Session() as sess:
  write = tf.summary.FileWriter("./tf_logs", sess.graph)
  sess.run(model)
  print('z = ', sess.run(z)