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Observability - Wikipedia
Observability is a measure of how well internal states of a system can be inferred from knowledge of its external outputs. In control theory, the observability and controllability of a linear system are mathematical duals. The concept of observability was introduced by the Hungarian-American engineer Rudolf E. Kálmán for linear dynamic systems.
Observability: An Introduction - Confluent
Documentation: Confluent Stream Lineage. Observability is the ability to monitor and measure the internal state of your system based on current, relevant data. Learn how observability works, examples, use cases, and technologies.
What is observability and why is it important? | IBM
Data observability ensures confident decision-making and enables AI-driven automation by providing quality data products for trusted business outcomes. Observability is a critical topic. This guide offers you a fundamental understanding of enterprise observability and its strategic role in managing our increasingly complex operations.
What is Observability? | IBM
Observability discovers conditions you might never know or think to look for, then tracks their relationship to specific performance issues and provides the context for identifying root causes to speed resolution.
What is Observability? A Beginner's Guide - TechTarget
Tom Nolle, Andover Intel. Observability is a management strategy focused on keeping the most relevant, important and core issues at or near the top of an operations process flow. The term is also used to describe software processes that facilitate the separation of critical information from routine information.
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