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Mohamed Elbagoury Égypte

--Mohamed Elbagoury--
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Cairo, Égypte
--Mohamed Elbagoury--
A well-known ERP Consultant & Trainer in MENA region with 20k connections in LinkedIn and 70k in Facebook , I involved in 28 Projects in Egypt , 7 Projects in Qatar , 6 Projects in Saudi Arabia , 3 Projects in United Arab Emirates , 3 Projects in Libya and 1 Project in Iraq , Successfully implemented ERP (onsite and on cloud) with complex Accounting , warehouse , payroll , Contracting and MRP configurations for more than 30 large companies such as (XERVON , SHIN SHIN Electronics Egypt , Panasonic Electronics Egypt , Heinz, Pharos Holding ,Universal Uniback … etc.. ) , I'm Specialist in (Odoo , Delta ERP ,Oracle E-Business Suite , SAP , Microsoft Dynamics (AX,NAV) ) , if you need consultation or you have any questions about ERP systems please don't hesitate to call me +201090091089 (WhatsApp)

Mohamed Elbagoury Égypte
10/11/2019 04:27

Did you configured Odoo workers..? 

Odoo includes built-in HTTP servers, using either multithreading or multiprocessing.

For production use, it is recommended to use the multiprocessing server as it increases stability, makes somewhat better use of computing resources and can be better monitored and resource-restricted.

  • Multiprocessing is enabled by configuring a non-zero number of worker processes, the number of workers should be based on the number of cores in the machine (possibly with some room for cron workers depending on how much cron work is predicted)
  • Worker limits can be configured based on the hardware configuration to avoid resources exhaustion

Warning

multiprocessing mode currently isn’t available on Windows

  • Rule of thumb : (#CPU * 2) + 1
  • Cron workers need CPU
  • 1 worker ~= 6 concurrent users
  • We consider 20% of the requests are heavy requests, while 80% are simpler ones
  • A heavy worker, when all computed field are well designed, SQL requests are well designed, … is estimated to consume around 1Go of RAM
  • A lighter worker, in the same scenario, is estimated to consume around 150MB of RAM

Needed RAM = #worker * ( (light_worker_ratio * light_worker_ram_estimation) + (heavy_worker_ratio * heavy_worker_ram_estimation) )

 
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