diag23

diag23 is a modular diagnostic framework used in information technology and software engineering to collect, analyze, and report health indicators from diverse systems. The term is commonly employed to denote a versioned or pluggable approach to diagnostics, with diag23 serving as a reference design in documentation and tutorials.

The architecture of diag23 typically comprises a core orchestration engine, pluggable test modules, data adapters for sources such as logs, metrics, and traces, and a reporting layer that outputs results to dashboards, logs, or incident-management systems. Test modules can be authored in multiple programming languages and are designed to run across different platforms, enabling cross-system health checks.

Operation involves defining test suites and schedules through configuration files or APIs. During execution, tests collect data, perform validations, and the engine aggregates results into a consolidated report. Severity levels, timestamps, and contextual metadata accompany each finding, and the framework may support parallel execution, conditional tests, and automatic alerting to relevant teams.

Applications of diag23 span systems monitoring, software testing, and embedded environments. It is used for routine health checks, regression testing, post-deployment verification, and root-cause analysis in incident scenarios. The framework emphasizes modularity and interoperability, allowing organizations to extend functionality with new tests and data adapters.

In practice, diag23 exists as part of a family of diagnostic tools and is implemented in various forms by different organizations and communities. Variants and forks are common, reflecting evolving requirements for telemetry standards and integration with existing observability and incident-management ecosystems.