The Cost of Data [RubyConfAU]

The Cost of Data [RubyConfAU]

The internet grows every day. Every second, one of us is making calls to an API, uploading images, and streaming the latest content. But what is the cost of this—is it free? This talk explores the reality of data, and what responsibilities we have as creators and consumers of tech.

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Vaidehi Joshi

February 20, 2020
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Transcript

  1. Vaidehi Joshi The Cost of Data

  2. The Cost of Data Vaidehi Joshi

  3. None
  4. None
  5. I love learning how stuff works!

  6. The internet

  7. The internet is built on many things.

  8. Everything we put on the web is stored somewhere.

  9. But how many of us think about this?

  10. I certainly didn’t! Until recently.

  11. Data center

  12. https://pixabay.com/photos/server-space-the-server-room-dark-2160321

  13. https://www.flickr.com/photos/ibm_media/33838065805

  14. Cloud Providers

  15. 65% utilization rate on ☁ 15% utilization rate in

  16. 65% utilization rate on ☁ 15% utilization rate in ¼

    fewer servers provisioned
  17. Percentage of data center traffic from ☁ 0 0.25 0.5

    0.75 1 2016 2021 96% 88%
  18. Seems good, right?

  19. SLA

  20. No downtime?

  21. None
  22. Hard to find data

  23. ~200 TWh 1-3% of world’s electricity 1 TWh = 1

    trillion watts/hour
  24. The ICT sector creates 2% of greenhouse gas emissions.

  25. The ICT sector’s carbon footprint is the same as the

    airline industry.
  26. Why??

  27. Why?? Fossil fuels

  28. The State of Data Center Energy Use in 2018, Paul

    Johnston & Anne Currie
  29. 5 carbon neutral zones Offset your emissions*

  30. 5 carbon neutral zones Offset your emissions* *a carbon offset

    still means you’re emitting greenhouse gasses
  31. Not very transparent

  32. US-East-1 Dominion Energy

  33. US-East-1 +59%

  34. Carbon fee model ✅

  35. Investments Renewable energy certificates (RECs)

  36. Not entirely transparent .

  37. Carbon offsets $$$ renewable energy +1 clean KWh back into

    the grid for each dirty 1 KWh used
  38. Carbon offsets $$$ renewable energy +1 clean KWh back into

    the grid for each dirty 1 KWh used
  39. China 66% increase in China’s data center industry between 2019-2023

  40. No public data Limited renewables

  41. How will this scale into the future?

  42. It’s easy to increase usage.

  43. Global data traffic is growing.

  44. 28 billion

  45. Connected IoT devices (billions) 0 5 10 15 20 2017

    2020 20 8.4
  46. © IEA

  47. © nature

  48. We need to think about this problem.

  49. Some of us are.

  50. None
  51. None
  52. None
  53. None
  54. Each of us has agency, too.

  55. Find out where your data lives.

  56. None
  57. Migrate to a green region.

  58. Draw attention to this issue.

  59. None
  60. Build things!

  61. None
  62. Be aware.

  63. Denise Yu Paul Johnston Anne Currie @deniseyu21 @pauldjohnston @anne_e_currie

  64. We are using a finite resource.

  65. We don’t know what the cost of data will be.

  66. I’m optimistic.

  67. You have a voice in this.

  68. Will you use it?

  69. Thank you! @vaidehijoshi https://bit.ly/2SH1Kk8