ClearScale Blog

Connecting devices and wearables to the Internet for capturing information has become very prevalent over the last few years. When these devices are used or needed for medical tracking, the need to have high availability and a fail-over process is of paramount concern for both the patient and the company charged with ensuring their safety. The challenge for any company attempting to implement an Internet of Things (IoT) solution is trying to find a method that provides high availability and

The Challenge ClearScale was approached by agricultural technology company that manufactured tags for livestock health monitoring to assist them in deploying a solution using IoT technologies to capture and process information from millions of individually tagged animals. The original solution the company had implemented involved numerous individual servers scattered in key locations to capture transmitted tag data. Aggregating this data was a challenge, as was actively monitoring, diagnosing, or anticipating animal health based on the information the tags were transmitting

Since the dawn of the Information Age, every industry has seen visible signs of transformation as new technologies are adopted to improve efficiencies; from manufacturing to telecommunications, transportation to information dissemination. This same evolution can be seen within the agricultural community. Over the last 30 years, advances in computer science and technology have revolutionized how the industry operates and individual farming families up to corporate-managed farming cooperatives have been able to capitalize on these new advances to improve crop and

The Internet of Things (IoT) describes a conceptual world where devices of all sorts, from your cell phone to your automobile, from the security sensor in your house to the GPS-enabled wearable on your wrist, are constantly connected to the Internet. There, each device stores vital data about itself and the processes it is designed to monitor within a larger world. People or algorithms can then analyze this data in order to identify trends and predict future events, allowing the