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Add documents for hosted mongodb deployments

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Signed-off-by: Shahbaz Nazir <shahbaz@bigchaindb.com>
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Shahbaz Nazir 2018-08-30 13:38:02 +02:00
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docs/server/source/production-nodes/node-requirements.md
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@ -14,6 +14,19 @@ BigchainDB Server requires Python 3.5+ and Python 3.5+ [will run on any modern O
_Don't use macOS_ (formerly OS X, formerly Mac OS X), because it's not a server-grade operating system. Also, BigchaindB Server uses the Python multiprocessing package and [some functionality in the multiprocessing package doesn't work on Mac OS X](https://docs.python.org/3.6/library/multiprocessing.html#multiprocessing.Queue.qsize). _Don't use macOS_ (formerly OS X, formerly Mac OS X), because it's not a server-grade operating system. Also, BigchaindB Server uses the Python multiprocessing package and [some functionality in the multiprocessing package doesn't work on Mac OS X](https://docs.python.org/3.6/library/multiprocessing.html#multiprocessing.Queue.qsize).
## Using Hosted MongoDB
If you are using already existing MongoDB deployment or hosted MongoDB service (e.g. MongoDB Atlas) you should create a new database (e.g. `bigchain`) and create a user with `readWrite` access. You can perform above steps through MongoDB shell as follows:
Login to your MongoDB deployment as Admin and run following commands
```
use <databse_name>
db.createUser({user: "<username>", pwd: "<password>", roles: [{role: "readWrite", db: "<database_name>"}]})
```
Now configure the details of your database and newly created user in your BigchainDB configs before starting BigchainDB
## General Considerations ## General Considerations
BigchainDB Server runs many concurrent processes, so more RAM and more CPU cores is better. BigchainDB Server runs many concurrent processes, so more RAM and more CPU cores is better.