An on-call engineer who's already read the incident.
Correlating a log line, a trace, and a metric spike by hand while production is down is slow, and most AI tooling asks you to trust a black box with production access. Raiya runs in your own environment, with full data sovereignty, and works inside the guardrails your team sets, not around them.
Lining up a log line, a trace, and a metric spike by hand is the slowest part of an incident, and it happens under the most pressure.
Raiya correlates signals across logs, traces, and metrics and proposes a root cause with the supporting evidence already gathered.
Handing an autonomous agent open access to production trades one problem for a larger one.
Raiya only executes runbooks your team has written and approved, with permissions your team defines in advance per action.
An assistant that only reaches its own vendor's integrations stops being useful at the edge of that vendor's product.
Raiya is an extensible framework: plug in third-party MCPs, and register your own custom agents as tools it can call into using the agent-as-a-tool pattern, rather than living inside what shipped out of the box.
A general-purpose AI assistant wired directly to your cluster's tools has whatever access you granted it, with no consistent record of what it's allowed to touch or why, and a different investigation path each time.
Same underlying access, governed by a Kubernetes custom resource and the permissions your platform team already runs, so every engineer gets the same approved path, not a one-off setup.
Debugging an incident shouldn't mean exporting your production telemetry to somebody else's model, or trading that exposure for a sampled, lower-fidelity view instead.
Raiya correlates against your real logs, traces, and metrics, processed in your environment. The control plane never receives raw telemetry, only derived signals and results.
Already building your own agents? Plug them in.
Raiya doesn't require you to start over. A custom agent your team has already built can be registered as a tool Raiya calls into, using the agent-as-a-tool pattern. It keeps running your own logic; Raiya's CRD-defined permissions and audit trail still govern when and how it's invoked.
See the full capability on SRE Agent (Raiya).