Beyond Observability

Your infra,
healing itself.
While you sleep.

Detects anomalies. Diagnoses root cause.
Resolves failures. Autonomously.

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2.8 min·mean time to understand

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What happens
when your stack
thinks for itself.

Early results from production deployments

Measured avg across 12 teams

View pricing
220 hrs

Eng-hrs saved / month

Time your team gets back every month.
To build, not firefight.

$6K /mo

Avg engineering cost saved

2.8 min

Mean time to understand

21×

Faster than manual investigations

98%

Issue Detection rate

90%

Reduction in alert noise

The intelligence layer

Most tools see your
infrastructure for the
first time, every time.

RubixKube remembers.

Every signal, session, and resolution builds a deeper model of your system.
One that compounds over time and belongs entirely to you.

Learn more about Memory Engine
Compounding memory

Day 1

Topology mapped.

Every service, node, and edge. Automatically.

Week 1

Dependencies understood.

Upstream and downstream relationships known.

Month 1

Causality emerging.

Failure patterns surface before they fire.

Always

Yours, entirely.

A model no other tool has. Built only by being there.

Continuous intelligence

The more it sees,
the more it knows.

Investigations are not episodic. Every conversation, every RCA, every human correction feeds the same growing model. Indexes rebuild, connections deepen, and the system's understanding of your stack expands with every passing day.

The result is persistent context. RubixKube doesn't wake up when an alert fires. It has been observing continuously, getting sharper with every signal it sees.

Built for the tools your teams already use

Cloud, delivery, observability, collaboration, and data, wired in without rip-and-replace.

Cloud & edge
Delivery & platform
Observability & incidents
Chat, email & meetings
Work & support
Data & events
Magic insights

Root cause,
not just
the symptom.

Every anomaly surfaces with a complete investigation: observed conditions, causal chain, and recommended actions.

An answer, with evidence. Not just an alert.

Explore the platform
payments-api · CrashLoopBackOff (restart count: 5)RCA

Root Cause

redis-cluster memory limit reached, triggering key eviction cascade into session-service, causing payments-api initialization failures.
Complete

Observed Conditions

  • redis-cluster memory at 98.4%; eviction policy active
  • session-service p99 latency increased 8× over baseline
  • payments-api startup fails on session token validation

Recommended Actions

HIGHScale redis-cluster memory limit from 2 GB → 4 GB immediately.
MEDAdd memory pressure alerting threshold at 80% to catch this earlier.
MEDReview session-service retry policy; current config amplifies cascades.

What our customers are saying

Killer stuff. Super clean UX, well thought through.
KishoreCTO, Yellow.ai

Super easy to set up with a single command. Impressed by the out-of-the-box metrics and clutter-free UI. A breath of fresh air.

Sachin GovindSoftware Engineer

It truly feels like talking directly to your infrastructure. It's rare to see such polish in infra management platforms.

Mridul GainStaff Engineer, Platform9

RubixKube brought calm and clarity to our operations. We moved from reacting to anticipating.

Ganesh KumarCEO, Sheshi AI

The value wasn't a dashboard. It was the system fixing the right things at the right time, with proof.

Kartik PawarStaff Engineer, Fellow.ai

The result

Not a faster tool.
A smarter system.
That's entirely yours.

Every incident you resolve without RubixKube is context it never learns from.