Kr8 – jsonnet powered cluster management tool

Hacker News

When managing large numbers of kubernetes clusters it can be difficult to properly manage configuration in a standard way. This tool uses jsonnet and opinionated configuration to simplify generating cluster configurations. kr8+ configuration is based on folder structure and it will combine configuration sources in a predictable way and make that configuration available for use by components. It is equipped to ingest and prepare a variety of sources like jsonnet, kube manifests, helm charts, docker compose files, and go templates. Usually yaml manifests are outputted, but it is also able to generate arbitrary text files. I use it with my homelab compose and kube stacks to manage everything as code. It makes it easy to configure all the extra pieces around a service like monitoring, ingress, certs, and backups.

Visit product View on Hacker NewsApr 18, 2025

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

56%56% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

54%54% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

53%53% 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

46%46% 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

40%40% 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

11%11% 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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