This story was originally published on HackerNoon at: https://hackernoon.com/how-to-diagnose-production-bugs-when-you-cant-reproduce-them-locally.
Learn how to diagnose production-only bugs using logs, metrics, distributed tracing, and environment analysis — and why a PaaS makes debugging far easier.
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This story was written by: @manishmshiva. Learn more about this writer by checking @manishmshiva's about page, and for more stories, please visit hackernoon.com.

Bugs that appear only in production are usually environment problems, not code problems. Diagnose them systematically: gather evidence before touching code, write context-rich logs, use metrics to spot trends, trace requests across services, and verify the deployment itself before blaming your logic. Most of the difficulty comes from self-managed infrastructure — the "infrastructure tax." A PaaS centralizes logs, metrics, and deployment history, eliminating config drift and cutting incident response time.

This story was originally published on HackerNoon at: https://hackernoon.com/explaining-the-grpc-myth-heres-what-happens-to-http-at-100-concurrent-threads.
Is gRPC always 10x faster than HTTP? We benchmarked both from 1 to 100 concurrent threads to reveal what actually happens when high load hits the network layer.
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This story was written by: @iegor. Learn more about this writer by checking @iegor's about page, and for more stories, please visit hackernoon.com.

Punch on a hype wave "gRPC is x10 faster compared to HTTP". Very much not always, especially in highp-concurrency environment.

This story was originally published on HackerNoon at: https://hackernoon.com/ai-assisted-cross-platform-code-generation-beyond-write-once-run-anywhere.
Learn how AI-powered observability and intelligent runtime telemetry enable enterprise mobile apps to predict UX issues before users are impacted.
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This story was written by: @uthejdeveloper. Learn more about this writer by checking @uthejdeveloper's about page, and for more stories, please visit hackernoon.com.

AI-powered observability transforms mobile telemetry into predictive insights, preventing user experience issues before they affect customers.