I built an app to help with Windows container networking

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I've been playing with cross platform windows/linux Kubernetes clusters recently and have had endless problems with installer scripts misconfiguring networking by using the wrong NIC etc. I got frustrated with the tooling on windows to debug container networking so I built a tool that attempts to stitch together the HNS (Host Network Service) & HCS (Host Compute Service) resources into a tree that shows the relationship between configs. You can also search over it to find the networking impacting your containers or launch the windows built in packet capture tool to create a network trace you can open in Wireshark for analysis. I'm not a desktop app developer so it's pretty rough around the edges and I've only really tested on Windows 11 and Server 2019.

Visit product View on Hacker NewsApr 22, 2022

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

75%75% 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.

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

65%65% 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 · Missing: mobile apps, ios, personal

46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: platform, host · Missing: plus, intuitive, reviews

43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

26%26% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

12%12% 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

3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

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