How to Install Quru Image Server on Arch Linux

Quru Image Server is a powerful open-source image server that can be used to store, process and distribute high-resolution images. In this tutorial, we will cover the installation process of Quru Image Server on Arch Linux.

Prerequisites

Before we start with the installation process, make sure that you have the following prerequisites:

  1. Arch Linux installed and configured on your system.
  2. Root access or a user account with sudo privileges.
  3. Basic knowledge of Linux commands.

Step 1: Install Dependencies

Before installing Quru Image Server, you need to install some dependencies required by the software. Open the terminal and run the following command:

sudo pacman -S gcc make git cmake

Step 2: Install Quru Image Server

After installing the dependencies, we can proceed with the installation process. Clone the latest version of Quru Image Server from the Git repository using the following command:

git clone https://github.com/quru/qis.git -b release/1.1.0 --recursive

Once the repository is cloned, navigate to the directory:

cd qis

Now, create a build directory:

mkdir build && cd build

Next, run the cmake command to configure the build process:

cmake ..

Finally, compile and install the Quru Image Server by running:

make
sudo make install

Step 3: Configure Quru Image Server

Quru Image Server requires a configuration file to start running. You can use the sample configuration files provided in the installation directory. Copy the configuration file to the default directory /etc/quru-image-server/ by running:

sudo cp conf/qis.conf /etc/quru-image-server/
sudo cp conf/qislog4cxx.conf /etc/quru-image-server/

Once the configuration is copied, you can start the server using the following command:

sudo systemctl start quru-image-server

To check the status of the server, you can run:

sudo systemctl status quru-image-server

Conclusion

Congratulations! You have successfully installed Quru Image Server on Arch Linux. You can now configure the server according to your requirements and start using it to store, process and distribute high-resolution images.

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