FAQ

Common questions, with short answers. Longer treatments live in Architecture, the Roadmap, and the Developer Guide.

How is this different from Headlamp / Lens?

Headlamp and Lens are general-purpose Kubernetes UIs — they render every resource type, support every action you'd otherwise do with kubectl, and target the day-to-day "browse and edit" loop.

KubeAtlas is only the dependency graph. It doesn't render Pods as a list to manage them; it tells you what depends on what. The two tools coexist — install Headlamp for "show me the cluster" and KubeAtlas for "show me the wiring". A Headlamp plugin is on the v1.1 roadmap.

Can I run this in production today?

Yes — for read-only introspection. From v1.0 the chart ships an opt-in Tier 2 backend (PostgreSQL + Apache AGE via the embedded CloudNativePG sub-chart) so restart preserves the graph. Single- replica is still the deploy shape; multi-cluster federation is a v1.1 target. Authentication is still your job — read the security warning before exposing the UI.

Does it work on OpenShift / EKS / AKS / GKE?

Yes — anything that exposes a standard Kubernetes API at version 1.26 or later. Discovery is GVR-driven, so platform-specific add-ons that publish CRDs work as long as the cluster has them installed.

OpenShift gets first-class support from v1.0: the detector at startup notices route.openshift.io, auto-loads the embedded rule pack (Route, DeploymentConfig, BuildConfig, ImageStream, SecurityContextConstraints), and the docs include a CRC and OCP 4.x install guide — see OpenShift installation.

Deeper platform integration (IRSA on EKS, Workload Identity on GKE, AAD on AKS) is on the v2.0+ roadmap.

How much memory does it use?

Steady state on a 1000-resource cluster is around 110 MB RSS. The chart's default limit is 512 Mi, which leaves headroom up to roughly 4000–5000 resources. Past that, raise resources.limits.memory — see the Helm reference.

What if my cluster has 50K resources?

v1.0 is comfortable in the small-to-medium range (≤ ~5K-10K resources). Above that you'll hit two ceilings: graph footprint in memory and JSON serialisation latency on the level=cluster endpoint. Tier 2 storage moves the graph out of the process so the memory side is no longer the bottleneck, but the aggregator response shape is still O(R) — see the stress-test-5k fixture for a worked baseline. Response-shape pagination is a v1.0.x target.

Why is there no built-in authentication?

Building a good auth story for a generic web UI is a year of work on its own — OIDC IdP integrations, token refresh, session storage, RBAC mapping. The Kubernetes ecosystem already has battle-tested choices (oauth2-proxy, Pomerium, Cloudflare Access). KubeAtlas deliberately punts to those rather than ship a half-baked first version. Read the security warning before exposing the UI.

When will Tier 2 / Rego / Headlamp plugin be ready?

Tier 2 and Rego rule packs shipped in v1.0. The Headlamp plugin moved to v1.1 — see the roadmap.

How do I extend it with custom edge types?

Two paths, depending on whether you want to ship a binary fork or load a rule at runtime:

• Runtime Rego rule pack — the Phase 2 extension surface. Declare CRD edges in Rego, sign and publish to an OCI registry, point rulePacks.extras at the artifact. No rebuild required. See lithastra/kubeatlas-rules for the canonical examples (openshift, cert-manager).
• Built-in Go extractor — for edges that should ship as defaults. The Developer Guide has the worked example: implement extractor.Extractor, register in extractor.Default(), add a contract test.

Does it phone home / collect telemetry?

No. Zero outbound network calls at runtime. The binary talks to your Kubernetes apiserver and that's it — no analytics, no usage reporting, no remote config.

What's the relationship with Lithastra / PlanWeave?

Lithastra is the umbrella the project ships under. PlanWeave is a separate Lithastra product — KubeAtlas neither depends on it nor pushes data to it. The two share an organisation, not a runtime.

KubeAtlas is Apache-2.0 licensed, governed under the GOVERNANCE.md in the repo, and accepts contributions from anyone — see the Developer Guide.

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