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Book Overview & Buying
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Table Of Contents
Microservices Design Patterns in .NET - Second Edition
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This chapter made the case that healthy microservices are unmanageable without observability, and then showed, with practical .NET examples, how to make observability routine rather than reactive. It opened by distinguishing between monitoring and observability: monitoring tells you that something is wrong, while observability provides you with sufficient high-quality signals to infer why. Logs, metrics, and traces are the three complementary signals that turn distributed behavior into explainable, debuggable narratives. We established a flow where logs record salient events, metrics reveal systemic health and trendlines, and traces stitch the cross-service journey into a single timeline that highlights where time and errors accumulate.
We started by exploring logging, as it’s the signal every team already has and the easiest to misuse. It’s crucial to decide what to log, how to avoid chatty noise and sensitive data, and how to use log levels consistently...