Observability Concepts: Difference between revisions

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<font color=darkkhaki>TO PROCESS:
<font color=darkkhaki>TO PROCESS:
* https://docs.honeycomb.io/getting-started/learning-about-observability/
* https://www.infoq.com/news/2018/06/observability-microservices
* https://blog.takipi.com/system-observability-making-your-production-environment-great-again/
* [[Tracing]]
* [[Tracing]]




Observability
* metrics-based monitoring
* logging (great for debugging)
* tracing


* https://github.com/OpenObservability/OpenMetrics
* https://opentelemetry.io/
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Revision as of 01:35, 6 September 2023

Internal

Overview

Observability is the art of understanding the dynamic state of your systems, service and infrastructure. Observability data consists of metrics, traces, logs, metadata, exceptions and even real-time events. Observability analysis leverages machine learning and heuristic techniques to generate insights from data.

Logs

Metrics

Traces

TO PROCESS:


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