Ku

Kubetail – Web-based real-time log viewer for Kubernetes

Hacker News

Kubetail – Web-based real-time log viewer for Kubernetes

Hi Everyone! Kubetail is a new project I've been working on. It's a private, real-time log viewer for Kubernetes clusters. You deploy it inside your cluster and access it via a web browser, like the Kubernetes Dashboard. Using kubetail, you can view logs in real-time from multiple Workload containers simultaneously. For example, you can view all the logs from the Pod containers running in a Deployment and the UI will update automatically as the pods come into and out of existence. Kubetail uses your in-cluster Kubernetes API so your logs are always in your possession and it's private by default. Currently you can filter logs based on node properties such as availability zone, CPU architecture or node ID and we have plans for a lot more features coming up. Here's a live demo: https://www.kubetail.com/demo Check it out and let me know what you think! Andres

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Product HuntOn track for Day 1 leaderboard · Strong signals: new, using · Missing: mac, agents, macos
72%72% 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: exist, ide, io · Missing: https docs, excited, just released
66%66% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal
39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
19%19% 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
14%14% 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
2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

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