Pingora with Edward and Noah from Cloudflare (Netstack.fm Podcast Ep15)

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In Episode 15 of netstack.fm, I sat down with Edward and Noah from Cloudflare to unpack the design of Pingora, the Rust based proxy framework that now powers Cloudflare’s origin facing traffic. The discussion covers why Cloudflare moved away from NGINX, how Pingora differs from Oxy, and what it takes to operate a high performance global proxy at massive scale. Listeners will learn about connection reuse strategies, dynamic traffic handling, gRPC and protocol translation, custom HTTP implementations, TLS backend choices, and the practical trade offs of Rust, Tokio, and work stealing in real production systems. It is an episode full of deep technical insights into building and operating modern networking infrastructure. Note that this episode was recorded prior to the recent cloudflare outage and as such this is not something we discussed in the episode. If you are interested to learn more about that I can recommend their excellent post-mortem blog post which already circulated around here. See: https://news.ycombinator.com/item?id=45973709

Visit product View on Hacker NewsNov 25, 2025

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Product HuntOn track for Day 1 leaderboard · Strong signals: new · Missing: mac, agents, macos

65%65% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

59%59% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: nginx, io · Missing: https docs, excited, just released

58%58% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal

44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

24%24% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

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