The missing Kubernetes interface for humans and agents.
Make sense of a live Kubernetes cluster - topology, events, Helm, GitOps, image internals, audits - over two surfaces: a UI optimized for humans, and an MCP server optimized for AI agents. Open source, on your laptop or in your cluster.
$curl -fsSL https://get.radarhq.io | sh && kubectl radarKubernetes is easy to query. Hard to understand.
kubectl is great for one cluster, one engineer, one moment in time. But your team runs dozens of clusters across regions and clouds. When an alert fires at 2am, nobody has time to SSH through three jump hosts and grep for pods.
Still the on-call engineer's primary debugging tool for multi-cluster incidents
Tools the typical platform team juggles to debug a Kubernetes incident
Default event retention in a Kubernetes cluster before data is lost forever
Radar is and always will be open source.
The full product lives at github.com/skyhook-io/radar. Install it with Helm, run it yourself, keep your data. No feature gates, no license keys, no "call us for pricing" features. Radar Cloud adds alerts, AI investigations that run without a local agent CLI, and shared views of every cluster - not because the OSS is crippled.
Built for the work that eats your day.
Close the laptop. Radar keeps watching.
Radar Cloud is the hosted side of Radar: alerts, AI root cause and every cluster in one place, for you and your team. The Radar you run stays free and open source, always.
One alert per failure
Know when something breaks without anyone watching a dashboard. Related failures are grouped, so a crash-looping deployment is one alert, not one per pod. Delivered to Slack or any webhook.
AI investigations
A root cause with evidence, on the alert rules you choose or on demand. In our public benchmark, the same agent diagnosed faults 3× faster on average with Radar than with plain kubectl. 100 a month free.
Your team
Share any view with just a link, scoped by your existing Kubernetes RBAC, so nobody hands out a kubeconfig. Invite the whole team: every plan has unlimited users and Google or GitHub sign-in.
Every cluster
The whole fleet in one view: issues, checks, certificates, packages and search across every cluster, a side-by-side diff when staging and prod disagree, and one MCP endpoint for your agents.
History
Events and changes kept long after Kubernetes deletes them, up to 30 days. See what changed in the hour before an incident, on any cluster, even after the pods involved are gone.
Enterprise-ready
SOC 2 on every plan, SSO and SCIM on Enterprise, and an audit log kept 30 days on Team and 1 year on Enterprise. Or run Radar Cloud in your own infrastructure with Self-Managed.
Loved by Kubernetes operators.
Unfiltered signal from teams running Radar in their clusters. Click any card to see the original.
I really like what the Skyhook OSS team has done with Radar, I am definitely a fan. It has a much cleaner, modern look and feel … will be using it as my go-to k8s visualization.
Just opened it in under 15 seconds, the topology view is awesome.
Damn, this is pretty impressive. It's already on my homelab.
I got kicked out of Lens free dashboard and now I need to subscribe, after using it since like 2020. Saw this post, made the switch and holy I am in love … Lens should be free and this dashboard should be paid 😂
Love it. A fantastic bit of work here. Well done!
The topology feature is great.
It looks gorgeous.
Thank you for building radar. It was soo useful to get people to try k8s. We use it everyday and it's an amazing tool.
Nice one! In-cluster deployment works like a charm, and may replace my current dashboard I am using.
Works way, way better! For the 322-node cluster the startup time was ~65 sec. Impressive!
Was already solid, but the updates you push every week? They are amazing. Love the new Audit Page. Love the keyboard shortcuts, so intuitive!
I like what I see so far! The timeline feature is a very nice touch.
Have Radar deployed at work. As far as Kubernetes dashboards go, this is one of the best.
Looks very promising at first sight, especially the visualizations for topology, timeline and traffic.
loudly said oo0o0oo when I got it running.
I am really liking Radar so far and I am finding it much more useful and streamlined than using Lens IDE.
My team has swapped to using it full time as it honestly blows other solutions out of the water.
A fresh, lightweight take on how we interact with our clusters.
It's working like a charm, thank you very much!
More feedback every week on GitHub, Reddit, and the Kubernetes Slack.
One binary. Run it your way.
Radar is a single ~30MB binary under Apache 2.0. Run it on your laptop with your kubeconfig, or install it in the cluster via Helm. Same UI either way.
Install
brew install, curl | sh, krew, or Helm. Pick whichever fits your stack. Under 30MB, Apache 2.0 - read every line on GitHub before you run it.
Open your cluster
Local mode opens like k9s and reads your kubeconfig. In-cluster mode runs as a Helm release and serves the UI through ingress for the whole team. Same features, same UI.
See what's running
Topology, events, Helm releases, GitOps state, image filesystems, and 36 audit checks - live, in one view. You read it in the UI; your agents read the same data over MCP.
Real screenshots. Real product.
Eight scenes from the actual product - topology, traffic, timeline, resources, audit, GitOps, Helm, image filesystem. No mockups, no marketing renders, no signup wall.
Live service topology
Every Deployment, Service, and Ingress as a live graph. Real-time traffic, TLS health, and cross-namespace dependencies. Click any node to drill in.
Start with Radar OSS. Add Cloud when you need it.
Run the open-source UI yourself in 60 seconds. Connect it to Radar Cloud for alerts, AI investigations and shared views of every cluster, free for up to three clusters.
Apache 2.0 · Run Radar OSS forever · Radar Cloud for you, your team and every cluster