From charlesreid1

Revision as of 04:02, 3 February 2018 by Admin (talk | contribs) (→‎monitoring)

overarching goal

data streams

data streams:

  • sensor data from a physical sensor (raspberry pi, gpio, radio, sdr)
  • wiki data - historical evolution, graph analysis
  • rojo/jupiter/maya/cronus hardware status - collectd, netdata
  • rojo/jupiter log data
  • network log info from bro
  • twitter/news scraping

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]

rollover

blog posts

  • Project Euler 172
  • Bots
  • bootstrap table presenting results of Rubik's Cube investigation - Rubiks Cube/Bootstrap

bots

charlesreid1 bot:

  • build spreadsheet, parse to build awesome list and bot

Bots/Charlesreid1

bot instrumentation:

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

apollo bots:

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.

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