- 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
- What is observability? Not just logs, metrics and traces
Observability, the ability to measure a system’s current state based on the data it generates, is critical for cloud-native environments As organizations embrace cloud-native technologies, system architectures have dramatically increased in complexity and scale
- What Is Observability? - IBM
Observability solutions take a holistic, cloud-native approach to application logging and monitoring They facilitate seamless process automation and work with historical contextual data to help teams better optimize enterprise applications in a range of use cases
- What is Observability? - GeeksforGeeks
Observability means having logs, metrics, and traces But in complex cloud environments, observability also needs to include metadata, user behavior, system mapping, and code-level details This broader view helps you understand and resolve issues better
- What Is Observability? Key Components and Best Practices
We will delve into observability’s key components, how observability differs from monitoring, observability’s benefits and challenges, and even go over how to implement observability with engineering teams
- What Is Observability? Concepts, Use Cases Technologies
Observability should not be confused with monitoring Monitoring is an action or process that collects information from a computing system Observability is a property of a system, which ensures the internal state of the system can easily be observed Monitoring systems are an important part of most observability strategies
- Observability: Definition, Benefits, Challenges and More - Atatus
Observability solves the problem of "unknown unknowns" by allowing you to automatically and continually grasp new types of problems as they emerge For artificial intelligence IT operations (AIOps), observability is also an important feature
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