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Fixes #509 - Updated hardware requirements
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Hardware | ||
******** | ||
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You can run Zammad on bare metal or on a virtual machine. Choose what | ||
you prefer. | ||
The hardware requirements to run Zammad effectively vary depending on several | ||
factors, for example: | ||
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For Zammad and a database server like PostgreSQL we recommend at least: | ||
======================================================================= | ||
- Number of users (especially agents and customers) | ||
- Volume of incoming tickets | ||
- Usage of channels | ||
- Installation type | ||
- Used software which is required to run Zammad | ||
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* 2 CPU cores | ||
* 4 GB of RAM (+4 GB if you want to run Elasticsearch on the same server) | ||
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For optimal performance up to 40 agents: | ||
======================================== | ||
There are even many more factors which have influence on the performance. This | ||
makes it hard to publish general hardware requirements which are fitting | ||
for all use cases. If you don't want to deal with such things, you should | ||
consider our `hosted Zammad setup <https://zammad.com/en/pricing>`_. | ||
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* 4 CPU cores | ||
* 6 GB of RAM (+6 GB if you want to run Elasticsearch on the same server) | ||
However, you can use the following information as a rough guide. | ||
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Of course at the end it depends on actual load of concurrent agents and | ||
data traffic. | ||
.. tip:: In any case, | ||
more and better hardware ensures that Zammad runs smoothly and the | ||
maintenance breaks for updates should be shorter as well. | ||
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.. note:: | ||
.. note:: | ||
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We can't suggest any disk space recommendations, as this highly depends on | ||
how you work. Zammad will always try to recognize the same attachments and | ||
We can't make any disk space recommendations, as this highly depends on | ||
how you work. Zammad will always try to recognize the same attachments and | ||
store it just once. | ||
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Performance Tuning | ||
================== | ||
Minimum Setup | ||
============= | ||
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For a minimalistic Zammad deployment with a PostgreSQL database server, you | ||
should not go below the following values: | ||
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* 2 CPU cores | ||
* 6 GB of RAM (+4 GB if you want to run Elasticsearch on the same server) | ||
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If you run your Elasticsearch instance on a lightweight machine like this and | ||
your RAM got exhausted, you could try a less-than-ideal solution like | ||
`limit the ES heap size <https://www.elastic.co/guide/en/elasticsearch/reference/current/advanced-configuration.html#set-jvm-heap-size>`_. | ||
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Example Setup | ||
============= | ||
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This is a basic setup for **up to 40 agents**. As mentioned above, it highly | ||
depends on many factors, but this can be a good starting point for dimensioning | ||
your system. | ||
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As the number of active users on your system grows, | ||
performance will eventually degrade, leading to: | ||
* 4 CPU cores | ||
* 6 GB of RAM (+6 GB if you want to run Elasticsearch on the same server) | ||
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* delays for outgoing email, | ||
* long loading times when viewing or creating tickets, | ||
* stale or out-of-sync search results, or | ||
* stale or out-of-sync ticket overviews. | ||
Performance Tuning | ||
================== | ||
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You may see modest improvements by | ||
:ref:`setting certain environment variables for Performance Tuning <performance_tuning>`, | ||
such as ``$WEB_CONCURRENCY`` or ``$ZAMMAD_SESSION_JOBS_CONCURRENT``. | ||
As the number of active users and/or tickets grows, performance will | ||
eventually degrade. You should have a look at | ||
:ref:`performance tuning section <performance_tuning>` then, or consider upgrade | ||
your setup. |