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About Open Source Observability
As modern applications grow in complexity, traditional observability solutions can be costly, rigid, and limiting. This report explores a new approach–disaggregated, modular observability stacks that offer flexibility, cost efficiency, and data autonomy. Authors Peter Corless and Neha Pawar provide engineering teams with a blueprint for designing tailored observability solutions using the best open source tools for data collection, storage, querying, and visualization. Observability, also referred to as O11y, is the ability to understand a system’s internal state by observing and analyzing the data it generates. It is an ever-evolving body of knowledge, policies, procedures, best practices, tools and technology. This data is used to detect and diagnose problems, ensure optimum performance, and maintain system security and reliability. Such data can and should also be used to drive continuous improvements in the observed code and systems architecture. Observability allows operators to know if systems are running well.
Detailed Information
| Author: | Peter Corless |
|---|---|
| Language: | English |
| File Size: | 3.2 |
| Format: | |
| Price: | FREE |
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