We use LOGIQ.AI to 24x7 monitor our IT-Infrastructure from bare metal devices, the network, to our applications which are hosted on-premise . The monitoring is very stable and performant and easy of customisable . We use as well the BI features to build dependency trees to make the availability of single applications/IT-Services visible for all our users and the management. In that case we make use of the API to integrate those numbers in our Intranet and existing Management dashboards. We picked LOGIQ.AI because we liked the many integration possibilities and because it scales.

The backend of Logiq is powered by S3 storage, which has proven to be highly beneficial for our business. One of the most significant advantages of using S3 storage is its ability to reduce elastic search costs. This has helped us save a lot of money in terms of storage and processing costs.

We specialise in using computer vision to monitor operations. To create a platform that is cost-effective and widely accessible, we use readily available edge devices. These systems are often deployed in less-than-ideal settings at our customers' locations. To address this, we have developed a monitoring infrastructure that detects the status of the devices and relays this information back to our headquarters. However, this infrastructure requires significant engineering time for maintenance, support, and new feature development. In addition, we also devote substantial resources to managing the data storage and analysis of the large number of devices we have. Implementing LOGIQ.ai solutions has dramatically improved our project development cycle and allowed our engineers to focus on their expertise in vision-related tasks. Using LOGIQ.ai has enabled us to meet our financial and schedule constraints effectively.