Maybe take a look at this maybe help you
http://www.akitaonrails.com/2013/05/02/opcoes-de-hospedagem-rails-heroku#.VNJlT5OqL-s

-- Evandro Santos


On 3 February 2015 at 13:04, antgel <[email protected]> wrote:

> Hi all,
>
> We use ruby 2.0.0 and rails 3.2.19 in production, with OOBGC.  We are
> having problems understanding why our unicorn workers grow from around
> 400MB to 8-900MB in a number of hours after a deploy.  We use New Relic and
> memory_tracker, but
>
> We see that every so often, the memory_tracker log outputs lines with ***
> such as:
> 02-03 06:34:38 pid:17885 rss=320.28 vsize=649.02 ***
> {:total_allocated_object=>169444, :count=>0, :rss=>12.775423999999987,
> :heap_used=>2597, :in_use=>866139} /iphone_data/get_article
>
> We aren't quite sure when memory_tracker chooses to print these lines, but
> they seem important.  I think we can define them as showing the more
> problematic actions, that grow the heap the most.  Here's an example output
> of processing the  log, showing the number of times a given action triggers
> these *** lines over a day:
> $ zgrep total_allocated_object log/memtracker_urls.log-20150203.gz|awk
> '{print $12}'|sed -r 's/[0-9]+(-[^/]+)?/:id/g'|sort|uniq -c|sort -n|tail
> -n20
>
>      20 /webapp/article/:id
>      22 /iphone_data/notification
>      24 /users/ajax_get_user_details_card
>      26 /articles/get_ajax_alternatives_by_symbol
>      28 /account/portfolio/holdings
>      31 /iphone_data/sync_portfolios
>      32 /account/ajax_authors_portfolio
>      34 /iphone_data/get_bookmarks
>      35 /news/:id
>      46 /user_comments_tracking/ajax_create_notification_cookies
>      47 /memcached:id/article_bottom/:id
>      57 /etf_hub
>      63 /account/portfolio/day_watch
>      96 /account/portfolio/news
>     106 /account/no_cookie_key
>     110 /api/v:id/notification_inbox/get_last_notifications
>     147 /article/:id
>     171 /instablog/:id/:id
>     419 /iphone_data/get_data
>    2519 /iphone_data/get_article
>
> It is worth pointing out that , but in our sample of problematic
> (three-star) actions, the ratio (number of times action grows heap and
> prints *** to memory_tracker / number of times action called) is not much
> different.  The actions get_article and get_data simply get called far
> more than other actions.
>
> Are there any practical solutions to better-understanding what makes these
> actions grow the heap so much, apart from staring at the code?  We feel we
> lack data / visibility in order to make improvements.  Please let me know
> if this is too vague, and if more details can help provide better responses
> from the list.
>
> Antony
>
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