Visualize Kubernetes Clusters

Hacker News

A lot of Kubernetes observability projects require very invasive deployments. My team was looking for something more lightweight and non-invasive, so we built the network mapper, an open source project which uses DNS traffic to map service traffic within Kubernetes clusters. We’ve just added a CLI that creates a graphical map of your cluster using graphviz: otterize network-mapper visualize. I’m curious to learn: Is such a map valuable to you? How would you use the information? Do you already have a map of your cluster, and was it difficult to acquire?

Visit product View on Hacker NewsMar 22, 2023

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

87%87% 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: lua, open source, io · Missing: https docs, excited, just released

57%57% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRFits verified-revenue profile · Strong signals: visualize · Missing: mobile apps, ios, personal

51%51% 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

26%26% 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

5%5% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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