Re: Confused monitoring my SSD's health
Sylvain Utard <[email protected]>
| Newsgroups | gmane.linux.utilities.smartmontools |
|---|---|
| Message-ID | <[email protected]> |
Hi Dan, yes I went through the product spec. However, when reading the "Media Wearout Indicator" paragraph: the sentence "Declines linearly from 100 to 1 a [...] Once the normalized value reaches 1, the number will not decrease, although it is likely that significant additional wear can be put on the device." makes me thing even Intel is not able to detect anything :) Am I interpreting that correctly? Regarding the "Re-allocated Sector Count", do you confirm that having a non-zero RAW VALUE (from specs: the number of retired blocks since leaving the factory) is not a big deal? Especially if the percent of allowable grown defect count is still equal to 100%. Thank you guys! On 10 juin 2014, at 12:59, Dan Lukes <[email protected]> wrote: > On 06/10/14 12:32, Sylvain Utard: >> I'm a bit lost trying to monitor the health a my SSD drives. I read a lot of blog posts about it but I'm still confused about how to interpret what appears to be "important metrics" like Reallocated_Sector_Ct and Media_Wearout_Indicator. > > Well, there is no generic answer to your question. The meaning of attributes raw value is vendor/model/revision specific. > > Even the cooked value ("VALUE") has no defined meaning beyond simple "above THRESH/below THRESH". > > So you need to ask device's vendor. Vendor's specification may or may not be available to public. > > Fortunately, Intel disclosed required information for S3500 model. Did you read the product specification ? >> http://www.intel.com/content/dam/www/public/us/en/documents/product-specifications/ssd-dc-s3500-spec.pdf > > Information you are interested in are available in chapter 5.4. > > > Dan > -- Sylvain Utard VP of Engineering +1 (415) 712-0091 | +33 6 15 14 27 47 | @sylvainutard ------------------------------------------------------------------------------ HPCC Systems Open Source Big Data Platform from LexisNexis Risk Solutions Find What Matters Most in Your Big Data with HPCC Systems Open Source. Fast. Scalable. Simple. Ideal for Dirty Data. Leverages Graph Analysis for Fast Processing & Easy Data Exploration http://p.sf.net/sfu/hpccsystems