Using an RTOS is often a tradeoff between the ease of decomposing tasks, with the complexity of the scheduler itself. There exists a middle ground between highly complex systems that may require an RTOS, and simpler ones that can be easily modeled using a super loop.Since ARM is the most popular embedded CPU and almost every ARM processor has a hardware scheduler, it would be interesting to make a compact framework utilizing these features.
G2, a highly regarded authority in the field of software reviews and research, has recently unveiled its much-anticipated Fall 2023 Research Report. In a resounding display of dominance, NinjaOne has once again emerged as the unrivaled leader in the realm of Remote Monitoring and Management (RMM) software, maintaining this prestigious position for an impressive 18 consecutive quarters.
This article will focus on the popular monitoring tool Prometheus, and how to use PromQL. Prometheus uses Golang and allows simultaneous monitoring of many services and systems. In order to enable better monitoring of these multi-component systems, Prometheus has strong built-in data storage and tagging functionalities. To use PromQL to query these metrics you need to understand the architecture of data storage in Prometheus, and how the metric naming and tagging works.