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PSknowHOW has been tested on AKS and RHEL 7.* ,  Ubuntu, Centos and Windows.

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9.0

Minimum Hardware for Physical/Cloud Server Hosting-

CPU - 4 Cores
RAM - 32 GB
HDD - ~100GB- ~120GB
Root - ~ 50GB

Recommended Hardware for Physical/Cloud Server Hosting-

CPU - 8 Cores
RAM - 64 GB
HDD - ~200GB
Root - ~ 50GB

Recommended Hardware for ServerLess Hosting-

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MongoDB - 2GB & 1CPU

Customapi - 8GB 4GB RAM & 2 CPU

Jira-processor - 6GB 4GB RAM & 1CPU

Devops-Processor- 8GB RAM & 2 4GB RAM & 1 CPU

SCM-Core 4GB RAM & 1 CPU

SCM-API - 2GB RAM & 1CPU

RabbitMQ - 1GB RAM & 0.5 CPU

Postgress - 2GB RAM & 1 CPU

Azure-board-Processor - 4GB RAM & 1CPU

Azure-pipeline-repo-Processor - 4GB RAM & 1CPU

Info

The

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recommended configuration will be able to manage around

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200 project without performance degradation.

Ports Required -

The Following ports should be open

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Port 27017 - This is the default port of MongoDB, it can be changed to any other port, just update the Docker Compose file before installation and Mongo config after installation

Port 5432 - This is the default port of Postgress, it can be changed to any other port, just update the Docker Compose file before installation and Postgress config after installation

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Expand
titleVM Space Tips

 

Docker by default uses the space from /root directory to store the docker related date, in case /root directory is low on space the default docker directory can be changed to other directory having enough space by following the below steps:

Initial Setup:

Code Block
mkdir -p /etc/systemd/system/docker.service.d
vi /etc/systemd/system/docker.service.d/docker.conf

 Add following into above file, but prior to that please check the storage driver used by your server by running :docker info |grep "Storage Driver" and put the output i.e.. "overlay or devicemapper" in below content

Code Block
[Service]
ExecStart=
ExecStart=/usr/bin/dockerd --data-graphroot=<dir_having_enough_space> --storage-driver=<output of docker info |grep "Storage Driver">

 Save the file and run below commands:

Code Block
sudo systemctl stop docker
sudo systemctl daemon-reload
sudo systemctl start docker

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