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Uber Automates Dependency Analysis Across Its Service Mesh

Uber has developed an automated dependency analysis system that uses RPC middleware and production metrics to correlate caller and downstream failures. The approach classifies dependencies as fail-close, fail-open, or unknown and addresses limitations of sampled distributed tracing for rare failures across Uber’s large service mesh. By Leela Kumili

We haven't written up this one. InfoQ has the full story — the link below goes straight to it.

Read the original at infoq.com →

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How to Measure Your Website's Conversion Rate Properly (Views, Starts, Submits) with ~30 Lines of JavaScript

Most "conversion rate" numbers on dashboards are wrong in one boring way: the denominator. People divide signups by all sessions, by pageviews , or by "visitors" from one tool and conversions from…

  • Conversion rate formula: conversions ÷ visitors × 100
  • Define conversion actions: form submission, checkout completion, call booking
  • Track three events: formview, formstart, formsubmit using JavaScript

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