How to analyze S.M.A.R.T data/results

[AnalogJ]

• https://www.backblaze.com/blog/hard-drive-smart-stats/ (2014)
• https://www.backblaze.com/blog/what-hard-drive-should-i-buy/ (2014)
• https://www.backblaze.com/blog/best-hard-drive-q4-2014/ (2015)
• https://www.backblaze.com/smart
• https://en.wikipedia.org/wiki/S.M.A.R.T.#ATA_S.M.A.R.T._attributes
• https://www.hdsentinel.com/smart/

[AnalogJ]

Thresholds, normalization is basically useless.

Potential Solution: ignore (but optionally display) manufacturer specified thresholds and normalized data, but instead display raw data and use Backblaze analysis to set real-world thresholds and alerts.

[AnalogJ]

https://js.do/code/480074

<script>

generate()
function generate() {

var data = {
    "cols": [
        ...
    ], 
    "rows": [
        ...
    ]
}

var all_lines = []
  for(var ndx in data["rows"]){
  	var cols = data["rows"][ndx]["c"]
    
    var lines = [
    '{',
    `Low: ${cols[0]["v"].split("-")[0]},`,
    `High: ${cols[0]["v"].split("-")[1]},`,
    `AnnualFailureRate: ${cols[1]["v"]},`,
    `ErrorInterval: []float64{${cols[2]["v"]}, ${cols[3]["v"]}},`,
    '},'
    ]
    all_lines = all_lines.concat(lines)
  }
  
  console.log(all_lines.join("\n"))
}

</script>

[AnalogJ]

#275 (comment) contains a POC that shows what the details page could look like