mustafaakin

Are you let down when you saw there is no guide to use Windows Server 2016 under *nix environments? I really loved Microsoft when I heard they are working on Windows containers, but when this week has arrived, it was sad to see that installation requirements were Windows and HyperV. But actually it is not. You just have to modify the VHD file a bit with nicer tools and execute the already available script in the downloaded VM. I will assume you are running a decent version of Linux and accepted EULA and all the legal stuff that I do not care.

1. Getting the required tools:

$ sudo apt-get install qemu-kvm virt-manager // or virtualbox, but we need qemu-kvm for image manipulation
$ sudo apt-get install qemu-utils libguestfs-tools // image manipulation tools

2. Downloading files

mustafaakin

import org.apache.flink.api.common.functions.MapFunction;
import org.apache.flink.api.java.tuple.Tuple3;
import org.apache.flink.streaming.api.TimeCharacteristic;
import org.apache.flink.streaming.api.datastream.DataStream;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.api.functions.timestamps.AscendingTimestampExtractor;
import org.apache.flink.table.api.Table;
import org.apache.flink.table.api.TableEnvironment;
import org.apache.flink.table.api.java.StreamTableEnvironment;
import org.apache.flink.types.Row;

mustafaakin

import org.apache.commons.lang3.time.StopWatch;
import org.apache.commons.math3.ml.clustering.CentroidCluster;
import org.apache.commons.math3.ml.clustering.Clusterable;
import org.apache.commons.math3.ml.clustering.DoublePoint;
import org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer;
import org.apache.commons.math3.random.*;

import java.util.ArrayList;
import java.util.List;
import java.util.Random;

mustafaakin

// replace it with your own token
TOKEN=aaa12a00f2f264727a4c5436c070d58477cd6d5f13a0379955901c4a962e9ee2 

# Create Key Store Node
docker-machine create --driver digitalocean \
    --digitalocean-access-token=$TOKEN \
    --digitalocean-region=ams3 mh-keystore-do       
docker $(docker-machine config mh-keystore-do) run -d \
    -p "8500:8500" \
    -h "consul" \

mustafaakin

receivers:
  - name: "alerts"
    opsgenie:
      apiKey: xxx
      priority: "P3"
      message: "Event {{ .Reason }} for {{ .InvolvedObject.Namespace }}/{{ .InvolvedObject.Name }} on K8s cluster"
      alias: "{{ .UID }}"
      description: "<pre>{{ toPrettyJson . }}</pre>"
      tags:
        - "event"

mustafaakin

route:
  # Main route
  routes: 
    # This route allows dumping all events because it has no fields to match and no drop rules.
    - match:
      - receiver: dump
    # This starts another route, drops all the events in *test* namespaces and Normal events 
    # for capturing critical events 
    - drop:
      - namespace: "*test*"

mustafaakin

import org.json.JSONObject;
import org.json.JSONTokener;

import java.io.BufferedReader;
import java.io.InputStreamReader;
import java.net.ServerSocket;
import java.net.Socket;

public class Test {

mustafaakin

import os
import sqlite3

import cv2
import numpy as np


def score(filename):
    image = cv2.imread(filename)
    gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

mustafaakin

mustafaakin

System.loadLibrary("Hello");
start();
while (true) {
  String request = readRequest();
  KMeansResult response = kMeans.calculate(request);
  String response = response.toString();
  writeResponse(response);
  }
}