How to install Thingspeak on a Fedora Server

In this tutorial, we will learn how to install Thingspeak on a Fedora Server. Thingspeak is a cloud IoT platform that allows you to collect, visualize, and analyze sensor data in real-time.

Prerequisites

Before starting with the installation process, make sure the following prerequisites are met.

Step 1: Update System

Before we can begin installation, it's important we update the system to its latest version. To do this, run the following command:

sudo dnf update

Step 2: Install Dependencies

To run Thingspeak on your Fedora server, you need to install MongoDB, Ruby, and some additional dependencies.

To install MongoDB, run the following command:

sudo dnf install mongodb-server -y

After MongoDB installation is complete, start the service and enable it to start at boot.

sudo systemctl start mongod
sudo systemctl enable mongod

Next, to install Ruby, run the following command:

sudo dnf install ruby -y

Then, install other necessary dependencies:

sudo dnf install sqlite-devel -y
sudo dnf install gcc-c++ -y

Finally, install the Rails gem:

sudo gem install rails

Step 3: Install Thingspeak

To install ThingSpeak, you need to clone the GitHub repository. In your terminal, run the following command:

git clone https://github.com/iobridge/thingspeak.git

After the cloning process is complete, navigate to the thingspeak folder and install required gems using bundler:

cd thingspeak
bundle install

Step 4: Setup Database

To set up the database, you need to run the following command:

rake db:create db:migrate RAILS_ENV=production

Step 5: Start Thingspeak

Once the database is created, start the Thingspeak server using:

rails server -e production

The Thingspeak server should now be running and listening on port 3000.

Conclusion

In this tutorial, we have learned how to install Thingspeak on a Fedora server. You can use this platform to collect, save and analyze real-time sensor data. It can be used in different IoT related projects to monitor the data and get accurate results.

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