Welcome to the tag category page for Metrics!
Observability is a concept used in IT and cloud computing to measure and understand the internal state of a system by examining its outputs, including logs, metrics, events, and traces. This helps system engineers and DevOps teams to proactively collect and analyze data, troubleshoot system issues, and ensure a system is working correctly. The three main pillars of observability are logs, metrics, and traces. Observability is also a measure of how well the internal states of a system can be inferred from knowledge of its external outputs. It is defined as the ability to measure a system's current state and understand its properties and patterns not defined in advance. Control theory describes observability and controllability as mathematical duals.
The concept of "Less Than Half" refers to a quantity that is below 50% of another quantity. This term is commonly used in mathematics to compare proportions or percentages. The phrase can also be applied in various contexts beyond math, such as in discussions about representation, equality, or distribution. For example, when discussing the underrepresentation of women in art history or the market, the concept of less than half may come into play. In essence, less than half serves as a benchmark for measuring and comparing quantities or representations, highlighting the importance of balance and equity in various aspects of society.
