shunkino

/*
 * Your Stylesheet
 *
 * This stylesheet is loaded when Atom starts up and is reloaded automatically
 * when it is changed and saved.
 *
 * Add your own CSS or Less to fully customize Atom.
 * If you are unfamiliar with Less, you can read more about it here:
 * http://lesscss.org
 */

shunkino

import numpy as np
import colorlover as cl

def convert_colorscale_format(colorscale):
    plotly_colorscale = []
    for index, sec_value in enumerate(np.linspace(0, 1, len(colorscale))):
        plotly_colorscale.append([sec_value, colorscale[index]])
    return plotly_colorscale

shunkino

import plotly.graph_objs as go
from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot

import numpy as np
import colorlover as cl

N = 10000
cluster_id = [np.random.randint(N/1000) for val in range(N)]
trace = go.Scattergl(
    x = np.random.randn(N),

shunkino

import plotly.graph_objs as go
from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot
import numpy as np
N = 10000
cluster_id = [np.random.randint(N/1000) for val in range(N)]
trace = go.Scattergl(
    x = np.random.randn(N),
    y = np.random.randn(N),
    mode = 'markers',
    marker = dict(

shunkino

import plotly.graph_objs as go
from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot
import numpy as np
import colorlover as cl
def convert_colorscale_format(colorscale):
    plotly_colorscale = []
    for index, sec_value in enumerate(np.linspace(0, 1, len(colorscale))):
        plotly_colorscale.append([sec_value, colorscale[index]])
    return plotly_colorscale
# %%

shunkino

from elasticsearch import Elasticsearch
es = Elasticsearch(['elasticsearch:9200'])
response = es.search(
        index="sessions2-181016",
        body={
  "size": 0,
  "query": {
    "bool": {
      "filter": {
        "bool": {

shunkino

server.host: "0.0.0.0"
elasticsearch.url: "http://elasticsearch:9200"

shunkino

name: base
channels:
  - anaconda
  - activisiongamescience
  - conda-forge
  - defaults
dependencies:
  - geoip2=2.2.0=py36_0
  - libmaxminddb=1.1.4=0
  - maxminddb=1.2.0=py36_0

shunkino

About

11/3に行うRAMにて実施するTutorialです．

Index

全体の流れは以下に示すとおりです．

• Dockerを使ってElasticsearch
• Dockerを使ってMoloch
• Molochでpcapを解析
• 解析結果を眺める

shunkino

version: '2'
services:
  kibana:
    image: docker.elastic.co/kibana/kibana:6.4.2
    container_name: kibana
    volumes:
      - ./kibana.yml:/usr/share/kibana/config/kibana.yml
    ports:
      - 5601:5601
    networks: