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已发布 : Nov 14, 2018
Not on the current edition
This blip is not on the current edition of the Radar. If it was on one of the last few editions it is likely that it is still relevant. If the blip is older it might no longer be relevant and our assessment might be different today. Unfortunately, we simply don't have the bandwidth to continuously review blips from previous editions of the Radar Understand more
Nov 2018
试验 ? 值得一试。了解为何要构建这一能力是很重要的。企业应当在风险可控的前提下在项目中尝试应用此项技术。

The observability is an integral part of operating a distributed and microservices architecture. We rely on different system outputs such as distributed tracing, aggregate logs and metrics to infer the internal state of the distributed components, diagnose where the problems are and get to the root cause. An important aspect of an observability ecosystem is monitoring—visualizing and analyzing the system's output—and alerting when unexpected conditions are detected. Traditionally, configuration of monitoring dashboards and setting up alerts is done through GUI-based point-and-click systems. This approach leads to nonrepeatable dashboard configurations, no ability to continuously test and adjust alerts to avoid alert fatigue or missing out on important alerts, and drift from organizational best practices. We highly recommend treating your observability ecosystem configurations as code, called observability as code, and adopt infrastructure as code for your monitoring and alerting infrastructure. Choose observability products that support configuration through version-controlled code and execution of APIs or commands via infrastructure CD pipelines. Observability as code is an often-forgotten aspect of infrastructure as code and, we believe, crucial enough to be called out.

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