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Part 1 ~ Microservices Will Finally Makes Sense After This Video In this video, Cloud X Berry explains microservices in a simple and beginner-friendly way. Amazon, Netflix, Uber and Spotify ship software updates every single day — and millions of people keep using those apps without ever noticing. That is not luck. It comes down to how the backend is put together, and one of the most popular patterns behind it is called microservices. We start where every application starts: one project, one cod
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One request. 10 microservices. Which one is slow? A single user request can pass through 10 microservices before checkout completes. When one gets slow, metrics alone won't tell you which one. That's what distributed tracing is for. We walk through the full pipeline: spans, trace IDs, OpenTelemetry instrumentation in every service, the Collector running as a Kubernetes DaemonSet, Grafana Tempo storing traces cheaply in S3, and Grafana pulling it all into one request waterfall so you can see exac
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