Launching today
KubēGraf
Local First AI SRE Platform for kubernetes
219 followers
Local First AI SRE Platform for kubernetes
219 followers
KubēGraf is a local-first AI SRE platform for Kubernetes. It finds root causes in minutes, offers SafeFix™ dry-run remediation, and self-heals issues like CrashLoopBackOff and OOMKilled - all while keeping your data inside the cluster.
Free Options
Launch Team / Built With
Finden
@prajol_a Great to see KubēGraf live today 🚀
A lot of focus went into keeping everything local-first while still delivering meaningful AI-driven root cause analysis across logs, events, and metrics.
Curious how others here are currently debugging Kubernetes issues - always interested to learn different approaches.
@puvendhan_a Thanks! 🙏
How are you currently correlating logs, metrics, and events during incidents? Still a manual process or using any tooling?
Really excited to finally see KubēGraf launched with you all! If you've ever struggled with debugging Kubernetes issues, this is for you. This product will help you quickly identify root causes, reduce debugging time, and simplify your entire troubleshooting workflow by bringing logs, metrics and events together in one place, all running locally on your cluster.
@kaveesha_sewmini Thank you so much! 🙌
We built KubēGraf exactly to make Kubernetes debugging faster and less painful, so it’s amazing to hear it resonates.
Would love to hear your feedback once you try it in a real cluster!
Been exploring Kubegraf recently and I really like the concept. A local-first platform that simplifies Kubernetes operations is exactly what developers need. Looking forward to future updates
@princy_rechal_dommata Thank you so much! 🙌
Really glad the local-first approach resonates — that was exactly the problem we wanted to solve.
Excited to keep improving KubēGraf and can’t wait to hear your feedback on future updates!
Really impressed with Kubegraf! The local-first approach makes Kubernetes management much simpler and more accessible. Love how everything can be handled without deploying extra tools on the cluster. Great work team
@rechal_p Thank you so much! 🙏 That’s exactly what we aimed for with KubēGraf — making Kubernetes management simpler and more accessible without adding extra complexity. Your feedback means a lot to our team and motivates us to keep improving!
@mohammad_ali_sk Appreciate it! 🚀
Curious — how are you currently handling incident debugging in Kubernetes?
Always great to learn different approaches.
“Really impressed by Kubegraf! The way it brings clarity to Kubernetes metrics and infrastructure is super valuable—especially for teams struggling with observability. Clean concept and great execution. Wishing you a successful launch! 🙌”
@saikalyan_sharma1 Thank you so much! 🙌
Really glad you found value in the approach — that clarity around metrics and infra is exactly what we aimed for.
Would love to hear your thoughts as you explore it more!
Truly impressed by what’s been built with KubēGraf. Debugging Kubernetes incidents can get messy with scattered information, but KubēGraf brings everything into a clear and unified view. The local first approach and focus on reliable insights make it especially useful during critical situations.
@sewmini_kumaranayaka Thank you so much! 🙌
Exactly the problem we wanted to solve — making incident debugging clear, fast, and safe.
Would love to hear your thoughts once you try it out in a real cluster!