Where this offering fits
Elastic Observability concerns service health and diagnosis using relevant logs, metrics and traces. Start with the application or infrastructure question to answer, such as a slow transaction or unavailable dependency. Collection volume is not a substitute for a useful view of service behaviour.
Architecture and rollout decisions
Map the application components and supported telemetry integrations. Choose representative transactions and define health indicators with the application owner. Test instrumentation impact, correlation and alert routing. State retention and access requirements for operational data. Acceptance should show that an operator can follow a known service symptom to supporting evidence, while recognising uninstrumented components.
An evaluation scenario for this offering
Instrument a staged user transaction across two supported components and retain an ordinary successful trace or equivalent evidence. Introduce a controlled delay in a non-production dependency, then ask an operator to locate the likely cause using the proposed observability view. Include a component that is deliberately not instrumented and require that limitation to remain visible in the explanation. Review notification routing and restore the normal condition. The accepted result should connect the symptom to useful supporting telemetry and an accountable owner, without claiming that green host metrics or a single recovered transaction prove all application paths are healthy.
Evidence to request for this scope
- Define service-level health questions and dependencies.
- Validate trace, metric and log context where selected.
- Test alert ownership and instrumentation failure.