4 Key Observability Metrics for Distributed Applications

A common architectural design pattern these days is to break up an application monolith into smaller microservices. Each microservice is then responsible for a specific aspect or feature of your app. For example, one microservice might be responsible f…


This content originally appeared on Hacker Noon and was authored by Michael

A common architectural design pattern these days is to break up an application monolith into smaller microservices. Each microservice is then responsible for a specific aspect or feature of your app. For example, one microservice might be responsible for serving external API requests, while another might handle data fetching for your frontend. 

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This content originally appeared on Hacker Noon and was authored by Michael


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Michael | Sciencx (2021-07-14T11:18:35+00:00) 4 Key Observability Metrics for Distributed Applications. Retrieved from https://www.scien.cx/2021/07/14/4-key-observability-metrics-for-distributed-applications-2/

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