From charlesreid1

overarching goal

2018/Data Project

data streams

data streams:

  • sensor data from a physical sensor (raspberry pi, gpio, radio, sdr)
  • rojo/jupiter log data
  • network log info from bro
  • twitter/news scraping

Docker/System Stats - a solution to the mess that's quickly developing... using docker.

Collectd

https://community.rackspace.com/products/f/public-cloud-forum/6800/how-to-set-up-monitoring-stack-using-collectd-graphite-grafana-and-seyren-on-ubuntu-14-04

bokeh and visualization

bokeh: https://github.com/bokeh/bokeh

interactive dashboards:

  • glue between command-line scripts and visual graphs
  • don't worry about "live" ajax refreshing - just focus on analytics and visualization

dashboards

monitoring with dashboards:

  • various data sources mentioned above
  • building visualizations and graph dashboards with Grafana
  • building and designing monitoring systems for understanding complex, live, evolving systems
  • minimizing time to setup, add metrics, gain insight, visualize, repeat

dashbaord software:

networking

monitoring hardware

  • network tap/switch
  • wired router

new router:

  • website with database of embedded dev boards: board-db.org
  • Banana Pi R2 is designed with built-in switch hardware, so it's intended to be used as a Raspberry Pi for home routers, of sorts. Long term, this would be a good hardware platform.
  • Banana Pi R2 Link: [1]

remaining

blog posts

bots

charlesreid1 bot:

Bots/Charlesreid1


bot instrumentation:

  • dashboard, monitoring, statistics, status
  • bot dashboard with grafana

Bots/Instrumentation


apollo bots:

  • 14/15/16/17
  • incorporate lunar surface dialogue

apollo references:

Category:Bots

Bots/New Apollo

genealogy

Genealogy photos:

  • Photos cropped/organized by family
    • 2011
    • 2017
    • Rename scheme
    • Notes - A2k11
    • Notes - R2k11
    • Notes - A2k17
    • Notes - K2k17
    • Notes - R2k17
  • Send email to fam with link on Dropbox

Writing:

  • Pauline and Bruce chapters
  • Historical research planning

complete

data store (db)

the database is the central thread for everything.

get a database solution up and running over the management lan.

minimize friction and time to bring up/explore/check new collection.

Note: minimizing friction mainly just comes down to (a) getting it running, thank you very much docker, and (b) familiarity with syntax. everything else is pretty seamless.

completed data streams

completed data streams:

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