Karpor – Intelligence for Kubernetes
Hello HN, we're platform engineers from Ant Group. We're working on Karpor (https://github.com/KusionStack/karpor), an open-source intelligence tool for kubernetes. Karpor brings advanced Search, Insight and AI to kubernetes. You can gain crucial visibility into your kubernetes clusters across any clouds. Here is a demo video (https://youtu.be/_PqcpmrBqLk) and live demo (https://karpor-demo.kusionstack.io) with quickstart instructions. As platform engineers, we are responsible for our Internal Developer Platform(IDP), and one of the ultimate goals…
What it does
In the maker’s words, at launch
Hello HN, we're platform engineers from Ant Group. We're working on Karpor (https://github.com/KusionStack/karpor), an open-source intelligence tool for kubernetes. Karpor brings advanced Search, Insight and AI to kubernetes. You can gain crucial visibility into your kubernetes clusters across any clouds. Here is a demo video (https://youtu.be/_PqcpmrBqLk) and live demo (https://karpor-demo.kusionstack.io) with quickstart instructions. As platform engineers, we are responsible for our Internal Developer Platform(IDP), and one of the ultimate goals of IDP is to enable true self-service for application developers. Drawing from our experience managing a large scale Internal Developer Platform at Ant Group, we recognized an undeniable truth: having visibility (the capability to access and monitor data) and insight (the skill to glean valuable information from that data) is absolutely critical for fostering a self-service development environment. After all, trying to understand and diagnose issues without any information is like flying blind. We have used several kubernetes visualization tools over time, such as Lens, k9s, kube-explorer, and the kubernetes dashboard, among others. Some are commercialized, some do not support self-host, and some are rudimentary for production needs… In short, we have not yet encountered a product that we are completely satisfied with. Some of the features Karpor already supports are: - Customized logical views to fit the resource organization models for different scenarios, such as applications, environments, etc, which may have different interpretations at places. - Intuitive and effective search, providing a number of user-friendly ways to locate resources across clusters, such as keywords, SQL, and natural language. - Cross-cluster topological views, providing a global perspective of resources no matter where they are. - Low cognitive burden, it is read-only, non-invasive to the cluster it’s watching, and users can deploy it to their private environments with one click. - Discover potential risks through compliance reports. All features are available via GUI. You can also play with Karpor API to do more things. Currently, we are focused on resource timeline, problem diagnose and integrations with more tools like k8sgpt, aiming to bring much more interesting abilities to developers. Here is the complete roadmap (https://www.kusionstack.io/karpor/roadmap/). Thanks a lot for taking the time to read! We'd greatly appreciate any feedback you have and hope you get the chance to try out Karpor.
Does the same job
all alternatives →
- KAKubernetes as a back-end for OpenFaaS2017 · github.com · ▲194
More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 16d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 26d ago · cactuscompute.com
Launched alongside, July 2024
the whole month →
- IC
Many years ago, I made VJ softwares (to mix live visuals in clubs) for unexpected platforms like the Game Boy Advance, the Playstation 2 and the Raspberry Pi. This year, I’m back with a new web-app: Pikimov. Inspired by Photopea (a free Photoshop clone), I created this web-based motion design & video editor as an alternative to After Effects, to fill empty void. It's free, without signup, without cloud uploads (your files stay on your machine), and your projects are not used for AI models training.
AI · 2024 · pikimov.com
