Supported Environment Platforms
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PSknowHOW is a containerized application and it can be deployed with Docker support
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it can be deployed in
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private or public cloud, in any private network with physical/cloud server instances or in any managed enviroments
Supported Operating Systems
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PSknowHOW can be installed on
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windows or MacOS or Linux with Docker Support.
PSknowHOW has been tested on AKS and RHEL
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On Server
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Recommended Hardware Requirements:
(5-20 projects)
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Minimum Hardware Requirements:
(1-5 project)
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CPU 4 cores
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CPU 2 cores
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RAM 32 GB
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RAM 16 GB
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Hard Disk 70 - 100 GB
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Hard Disk 50 - 70 GB
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Root 50 GB
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Root 50 GB
Required Softwares :
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Linux
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Windows/Mac
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Docker
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Docker for Desktop
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docker compose
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Python3
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pip
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wget
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curl
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zip
Alternatively , you can run below script to setup the prerequisites (Linux only) , so to do this download the file execute following commands.
Download the attached Setup-Prerequisites-V3.0.zip file to your linux machine and execute the bellow commands.
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unzip Setup-Prerequisites-V4.0.zip
cd Setup-Prerequisites-V4.0
chmod +x Setup-Prerequisites-V4.0.sh
./Setup-Prerequisites-V4.0.sh |
Ports Required
The Following ports need to open to accept inbound traffic
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External Traffic
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Internal
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22
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8080
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80
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27017
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443
Note:
RAM consumption can vary depending on the cron frequency and response payload
Currently CRON is set to every 2 hours to pull the data from connected tools.
On ServerLess
Customapi : 8GB RAM & 2 CPU
MongoDB : 2GB & 1CPU
UI : 1GB RAM & 1CPU
Jira-processor: 6GB RAM & 1CPU
NonJira-Processor: 8GB RAM & 2 CPU
Azure-Processor: 4GB RAM & 1CPU
NonAzure-Processor: 4GB RAM & 1CPU
FAQ
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9.0
Minimum Hardware for Physical/Cloud Server Hosting-
CPU - 4 Cores
RAM - 32 GB
HDD - ~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-
UI - 1GB RAM & 1CPU
MongoDB - 2GB & 1CPU
Customapi - 4GB RAM & 2 CPU
Jira-processor - 4GB RAM & 1CPU
Devops-Processor- 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
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The recommended configuration will be able to manage around 200 project without performance degradation. |
Ports Required -
The Following ports should be open
Port 80 & 443 - for web traffic communications
Port 22 - for any maintenance or log related terminal access
Port 8080 - Used internally for UI to API communication
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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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:
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
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sudo systemctl stop docker
sudo systemctl daemon-reload
sudo systemctl start docker |
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Move contents of folder /var/lib/docker to preferred directory to copy the old images:
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mv /var/lib/docker <new app dir>
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
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[Service]
ExecStart= ExecStart=/usr/bin/dockerd --graph=<new_dir_
Save the file and run below commands:
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Verify using below command result should contain the provided dir :
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