Production runs itself.
You stay out of the loop.
Raven watches your Kubernetes clusters and infrastructure, correlates failures across dependencies, and remediates within policy-bounded safety budgets. Routine fixes happen on their own. Humans approve anything risky.
A closed loop, not a dashboard
Watch
Agents in each cluster stream Kubernetes events, Prometheus metrics, OpenTelemetry traces, and logs into Raven — across K8s, VMs, bare metal, databases, and middleware.
Diagnose
An LLM brain — fine-tuned on your estate — correlates failures across dependency graphs, walks logs and metrics, and identifies root cause. Not just the symptom that paged you.
Fix
Within per-tenant fix budgets, Raven applies the remediation: restart, evict, scale, rollback, patch resources, rebalance. Anything risky waits for human approval.
Everything an autonomous SRE needs
Closed-loop remediation
Auto-fix within safety budgets. Circuit breakers stop repeat failures; deferred verification confirms the fix actually held.
Multi-tenant by design
Row-level security on every table, per-tenant fix budgets and policy. One Raven, many isolated estates.
A custom-trained model for every tenant
Each tenant gets its own LoRA-fine-tuned adapter trained on that estate’s incidents, fixes, and operator feedback. Raven gets smarter at running your environment specifically — not the average customer.
Approval workflows
Risky actions pause for human review with full context: what Raven saw, what it proposes, what could go wrong.
RGL safety rules
Write guardrails in plain English. Raven translates to a closed-grammar DSL, then a second model verifies fidelity before any rule activates.
Predictive remediation
Forecasts disk and memory exhaustion. Rebalances nodes, drains hotspots, decommissions idle capacity — before pages fire.
Request access
Raven is in private rollout with a small set of operators running production Kubernetes. Tell us what you run and what's costing you sleep — we'll get back to you.
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