AIOPs & automation, from event to done

uvuyo correlates the event flood from your whole IT landscape into a single, intelligible stream — then an AI assistant diagnoses it under your user’s identity automations provided. It can create tickets, notifies the team, even fix issues directly on the erver. Event in. Done out.

Request a demoSee how it acts

Cut MTTR, not corners
Events arrive already deduplicated, enriched and correlated. The AI assistant proposes a diagnosis and a plan — so operators resolve incidents in minutes instead of hopping between consoles.

Automate the whole loop
Detect, enrich, decide, execute: tickets in Jira, notifications to the on-call team, remediation over SSH — driven by pipelines that run the same way every time, at machine speed.

Humans stay in command
The AI acts under each user’s identity, with your RBAC and tool policy. Anything that changes an external system needs explicit approval — and every step lands in your audit trail.

Meet the Uvuyo Assistent

Point the assistant at an event — or ask in plain language. It investigates with real uvuyo tools (read-only first), lays out what it would do, and asks before touching anything external. Approve, and it gets things done.

Reads your operations. Events, integrations, knowledge — the assistant sees exactly what the user sees, and investigates through real endpoints, not guesses.

Executes for real.Creates the Jira ticket, sends the email, runs the SSH remediation — through the same uvuyo integrations your team relies on.

Approval by design.Read-only steps run freely. Anything that changes an external system needs your explicit yes — once or always for the session.

Identitiy-aware.Every session runs under the user who opened it — your RBAC, your tool policy, your audit trail. No shadow AI.

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Automation and Pipelines

In the uvuyo Control Center you build the loop visually: events flow from source through enrichment and rules to action — live on every cluster node, with success rates for the last ten minutes, hour and day.

Visual Pipelines. Drag sources, transformations and targets together. Endpoints load dynamically — extend uvuyo with its SDK without writing UI code.

Automation engine.Built-in automation acts on events: acknowledge, route, escalate, notify, remediate — triggered by rules or by the assistant.

Powerful transformation.Filter, map, enrich and reshape data on the way through — simple expressions, or a full scripting language when you need it.

Cluster-transparent.Exactly which node runs what — always visible. Highly available, highly scalable.

One stream, every source
Severity and lifecycle filters — OK to Critical, open to closed — keep operators working exactly what matters right now, instead of paging through five consoles.

Health at a glance
Application and service gauges aggregate live event streams into instant status — per application, per location, per customer.

Context the AI acts on
Timelines show when an event opened, flapped or closed — related events stacked in context. That’s the signal the assistant and your automations feed on.