See every cluster.Stop every fire before it spreads.
Open-source Kubernetes visibility - multi-cluster topology, event timelines, and GitOps. Self-host the Apache 2.0 engine, or use hosted Radar Cloud.
$ brew install skyhook-io/tap/radar
Your clusters are a black box — until something breaks.
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 engine 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 exists for teams that would rather not run it - not because the OSS is crippled.
Built for the work that eats your day.
Troubleshoot without kubectl roulette
Pod crashing in a namespace you don't remember? Search across every cluster, jump to logs, rewind the event timeline, and share the link.
Manage a fleet, not a cluster
Compare workload versions across environments. Catch drift between staging and prod. See the whole fleet in one topology graph.
GitOps visibility you don't have to build
Native ArgoCD and Flux support. See the sync state of every application alongside the resources it produced.
Helm chart visibility
Every release, every revision, every value file. Roll back with a click. Audit what changed between revisions.
Don't want to run it yourself? We host it.
Everything Radar OSS does, plus the pieces you probably don't want to operate in-house - durable storage, SSO, cross-cluster roll-ups. Same binary, same features, zero infrastructure.
Multi-cluster fleet view
See every cluster across AWS, GCP, Azure, and on-prem in one pane. Topology, events, and traffic unified.
Long-term event timeline
Events persisted up to 1 year for post-mortems and audits. OSS holds events in memory — Radar holds them forever.
Enterprise auth & RBAC
SAML/OIDC SSO, SCIM provisioning, and team-to-namespace mapping. Map Okta groups to cluster scopes.
Traffic & topology graphs
Live service graphs with east-west traffic, ingress flows, and TLS cert health. Know who depends on what.
Smart alerts
Slack, PagerDuty, and MS Teams integrations. Triggered by event correlations, not just raw signals.
Team collaboration
Shareable deep-links to clusters, resources, and timeline moments. Annotations that survive context switches.
Loved by Kubernetes operators.
Unfiltered signal from teams running Radar in their clusters. Click any card to see the original.
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 😂
Just opened it in under 15 seconds, the topology view is awesome.
Damn, this is pretty impressive. It's already on my homelab.
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.
I tried `radar` for the first time (great work, btw!).
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.
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!
Looks quite interesting and unique for visualization & monitoring.
A fresh, lightweight take on how we interact with our clusters.
It's working like a charm, thank you very much!
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.
Love it. A fantastic bit of work here. Well done!
The topology feature is great.
It looks gorgeous.
More feedback every week on GitHub, Reddit, and the Kubernetes Slack.
One Helm chart. Self-host or point it at Radar Cloud.
The agent is the same binary either way. Install it, choose where it talks to. Run the whole stack yourself under Apache 2.0, or let Radar Cloud handle the control plane for you.
Install the agent
One Helm command per cluster. The agent is Apache 2.0 and under 20MB - read every line on GitHub before you run it.
Pick your control plane
Run the Radar backend in your own cluster (self-hosted, free) or point the agent at Radar Cloud. Same UI, same features.
See your fleet
Topology, events, and traffic appear within 30 seconds. No kubectl-forwarding, no jump boxes, no shared kubeconfigs.
Real screenshots. Real product.
Five annotated scenes - fleet, topology, timeline, resources, Helm. No mockups, no marketing renders, no signup wall.
Two ways to run Radar.
Install the OSS engine with Helm, or spin up a hosted workspace. Either way, you see your fleet in 60 seconds.
Apache 2.0 · Self-host forever · Hosted if you'd rather not run it