Kubernetes & Linux Infrastructure RCA  ·  BETA

AI that investigates,
not just summarizes.

Most tools pass your alert to an LLM and call it an RCA. Causa runs a multi-step agentic investigation — reading pod logs, systemd journals, process state, k8s events, deployments, and eBPF kernel traces — then delivers a precise, verified root cause. Works on Kubernetes, Linux VMs, and bare metal. Not noise. Answers.

No credit card required  ·  50 free RCAs/month  ·  2-minute setup

infranexis-causa — RCA Pipeline
07:14:22 [ALERT] payments-service P1 fired
07:14:22 Collecting k8s context...
07:14:23 Running eBPF trace (5s)...
07:14:28 Analysing with AI engine...
 
Root cause identified (6s)
 
Root cause:
Pod payments-7d9f8b-mn4q2 is in
CrashLoopBackOff after deploy
v2.1.3 → v2.1.4 (6 min ago).
DB pool exhausted (pool_size=5).
 
Delivered to #incidents (Slack)
Written back to PagerDuty P1234
 
Agentic
Multi-step investigation loop
12+
Alert sources supported
eBPF
Kernel-level tracing
< 60s
Typical time to RCA

From alert to verified root cause in three steps

One lightweight agent. Zero manual triage. A precise, investigated answer — not a summary — delivered wherever your team works.

1

Connect your signals

Route alerts from any monitoring tool to Causa via a unique webhook URL. One URL, one minute to configure.

PagerDuty Grafana Prometheus Datadog AWS SNS +more
2

Deep, agentic investigation

The AI runs a multi-step investigation loop — querying pod logs, k8s events, recent deployments, system metrics and eBPF traces — iterating until it finds the actual cause, not just the symptom.

Kubernetes eBPF AWS Azure GCP
3

Precise RCA, every time

A verified, actionable root cause analysis — with evidence, not guesses — lands in Slack, Teams, Email, or written back into the original PagerDuty incident automatically.

Slack Teams Email PagerDuty Webhook

Everything your on-call team needs

Built for SRE and DevOps teams who are tired of guessing. Causa investigates deeply, explains clearly, and gets the answer right.

📡

Universal signal ingestion

Receive alerts from PagerDuty, Grafana, Prometheus, Datadog, AWS SNS, Azure, GCP, Zapier or any custom webhook.

🧠

Investigates, doesn't just summarize

The agentic pipeline runs multiple investigation steps — pod logs, k8s events, recent deployments, cloud metrics — correlating evidence before reaching a conclusion.

📊

eBPF kernel tracing

Optional bpftrace scripts capture network connections, slow I/O, and process failures at the kernel level — no instrumentation required.

🕐

Pipelines & routing

Create named pipelines that route specific alert sources through custom context collectors to specific Slack channels or teams.

📤

Multi-channel delivery

Deliver RCA to Slack, Microsoft Teams, Email, outbound webhook, or write it directly back as a note on the PagerDuty incident.

💻

One-line agent install

Deploy to Kubernetes with one kubectl command or to any Linux/VM with a single curl | bash. Works on any cloud or bare metal.

Works with your existing stack

No rip-and-replace. Causa plugs into what you already have in under 5 minutes.

Simple, transparent pricing

Start free. Scale as you grow. No surprise bills.

Monthly
Annual Save 20%
Free
$0/mo
For individual engineers and side projects.
  • Unlimited RCAs (fair use)
  • 1 pipeline
  • 1 alert source
  • Slack & email delivery
  • 1 forwarder agent
  • 30-day history
Get started free
Team
$49/mo
For small teams with multiple services in production.
billed monthly
  • Unlimited RCAs (fair use)
  • 10 pipelines
  • Unlimited alert sources
  • Slack, email & webhook delivery
  • Up to 5 agents
  • 90-day history
  • Alert deduplication
  • SLO error budget context
Get started free
Enterprise
Custom
For large teams with custom SLA, SSO, and compliance requirements.
  • Unlimited RCAs (fair use)
  • Unlimited pipelines & agents
  • All delivery channels
  • SSO / SAML
  • SLA guarantee
  • Dedicated CSM
Contact sales

Frequently asked questions

What is Infranexis Causa?
Causa is an AI-powered incident root cause analysis tool for Kubernetes clusters, Linux VMs, and bare metal servers. When an alert fires, Causa automatically investigates pod logs, systemd journals, process state, system metrics, Kubernetes events, and eBPF kernel traces, then delivers a precise root cause — typically in under 90 seconds.
How is Causa different from just asking an AI chatbot about my incident?
Chatbots generate answers based on the text you paste in. Causa runs a multi-step agentic investigation — it actively reads your infrastructure: pod logs or system journals, process CPU and memory state, network connections, eBPF kernel traces, deployment history, and cloud provider events. It investigates across every signal source; it does not summarize one.
Does Causa only work with Kubernetes?
No. Causa works on any Linux system — Kubernetes clusters, Linux VMs, and bare metal servers. On Kubernetes it additionally reads pod logs, K8s events, and deployment history. On plain Linux hosts it reads systemd journals, system metrics, process state, disk and network usage, and eBPF kernel traces. The same lightweight agent handles both.
How long does a root cause analysis take?
A typical RCA completes in 60–120 seconds from the moment an alert fires. The exact time depends on the number of signals collected and the complexity of the incident.
Which monitoring and alerting tools does Causa integrate with?
Causa integrates with Grafana, Prometheus, Datadog, PagerDuty, AWS CloudWatch, Azure Monitor, Google Cloud Monitoring, and any tool that can send a webhook. Results can be delivered to Slack, email, PagerDuty, or any custom endpoint.
Is there a free plan?
Yes. The free plan includes 50 RCA analyses per calendar month at no charge and no credit card required. Paid plans start at $23 per month for unlimited pipelines and higher analysis volume.
Does Causa need access to my Kubernetes cluster?
Causa works with or without Kubernetes. On Kubernetes, the lightweight agent uses read-only API access to collect pod logs, events, and deployment history. On plain Linux hosts it reads system journals, process state, and metrics — no Kubernetes required. The agent runs locally on your infrastructure and can be uninstalled with a single command.

Your next P1 deserves an accurate answer

Deep investigation. Precise root cause. Delivered automatically — wherever your team works.

Get started free →