K8s Cleaner – Roomba for Kubernetes

Hacker News

Hello HN community! I'm excited to share K8s Cleaner, a tool designed to help you clean up your Kubernetes clusters. As Kubernetes environments grow, they often accumulate unused resources, leading to confusion, waste, and clutter. K8s-cleaner simplifies the process of identifying and removing unnecessary components. The tool scans your Kubernetes clusters for unused or orphaned resources—including pods, services, ingresses, and secrets—and removes them safely. You can fully customize which resources to scan and delete, maintaining complete control over what stays and what goes. Getting Started: Visit https://sveltos.projectsveltos.io/k8sCleaner.html and click the "Getting Started" button to try K8s-cleaner. Key Features: - Easy to Use: No complex setup or configuration required—perfect for developers and operators alike - Open Source: Modify the code to better fit your specific needs - Community Driven: We welcome your feedback, feature ideas, and bug reports to help improve K8s-cleaner for everyone I'm here to answer questions, address feedback, and discuss ideas for future improvements. Looking forward to your thoughts! And make sure your all you kubernetes clusters are sparkling clean for the holidays. :-) Simone

Visit product View on Hacker NewsDec 18, 2024

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

84%84% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

69%69% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: excited, open source, ide · Missing: https docs, just released, exist

50%50% 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

41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

35%35% predicted probability of success on TrustMRR, 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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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