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RubixKube, Site Reliability Intelligence for modern infrastructure
RubixKube is Site Reliability Intelligence for your infrastructure. It watches your systems continuously, diagnoses root cause when something breaks, and recommends the exact fix, with evidence, in minutes rather than hours. It runs across Kubernetes, AWS, GCP, and plain Linux VMs. You get the same investigative depth whether the failing piece is an EKS pod, an RDS database, a GCE instance, or a bare metal box in a colo. Azure comes in through AKS today, with subscription-level support on the roadmap.
Mean Time to Understand: 2.8 minutes. Across 12 production teams, RubixKube reaches a confirmed root cause about 21× faster than manual investigation. See the MTTU story on the blog.

Where do I start?

Quickstart

Sign in, connect an environment, and see your first investigation in under ten minutes.

Connect your environment

Pick the right install path for Kubernetes, AWS, GCP, Azure, or a VM.

Core concepts

Understand Site Reliability Intelligence, the Agent Mesh, and the OPEL loop.

Automate incident remediation

Walk through a real production incident from detection to resolution.

What does RubixKube do?

Observes your infrastructure

Continuously maps topology, dependencies, and behaviour. Learns the normal shape of your stack so anomalies stand out.

Investigates incidents

When something breaks, it gathers logs, metrics, events, and changes, correlates them, and produces an evidence-linked root cause.

Recommends safe fixes

Every investigation ends with ranked actions, each with expected blast radius and the reasoning behind it.

Remembers everything

Every incident, correction, and conversation feeds the Memory Engine. Your system gets sharper the longer it runs.

What you get on day one

The Observer walks your environment and builds a live map of services, nodes, and edges. No manual instrumentation required.
Ask questions like “why are payments slow in ap-south-1” or “what changed before this alert fired” and get a direct, cited answer.
Each incident produces a root cause report: observed conditions, causal chain, and recommended actions. You decide what to do next.
The knowledge graph and memory RubixKube builds belongs to you. It is not shared across tenants, and it compounds over time.

Core concepts

Site Reliability Intelligence

The category RubixKube defines. SRE for the AI era.

Agent Mesh

Specialised agents, each expert in its domain, collaborating on every incident.

Memory Engine

How RubixKube turns every incident into institutional knowledge.

Safety & Guardrails

Why RubixKube is autonomous without being reckless.

Monitor infrastructure health

Your daily check-in: dashboard, insights, topology.

Talk to your infra

Ask questions in plain English, get cited answers.

Automate incident remediation

From detection to verified fix, with evidence and approvals.

Frequently asked questions

No. RubixKube watches, analyses, and recommends. Your team decides what to do, and nothing changes in your environment without explicit approval.
Kubernetes (EKS, GKE, AKS, KIND, bare metal), AWS accounts, GCP projects, and generic Linux VMs. You can mix any of these inside a single workspace. Azure workloads are supported today through AKS on the Kubernetes path.
About five minutes for Kubernetes or a VM, about ten minutes for a cloud account. The Quickstart covers all paths.
One complete cycle: RubixKube detects something, traces it to a root cause, and tells you exactly what to fix. Each investigation ships with evidence and ranked actions.
The docs are open source on GitHub. The platform itself is commercial, with a free tier available on console.rubixkube.ai.

Help and community

Email support

connect@rubixkube.ai. Include your tenant ID, timestamp, and screenshots where possible.

Blog

Field notes on reliability, AI operations, and the future of SRE.

GitHub

Open source components, examples, and issue tracking.

Console

Sign in, invite your team, and start an investigation.