Built for modern operations teams
A complete AIOps platform that combines prediction, automation, and governance into one powerful solution.
See the future of your infrastructure
Threshold, error-rate, and trend detectors fire on telemetry from your existing observability stack. Each prediction carries a calibrated confidence score + the underlying rule hits, so operators see *why* before they decide.
- Threshold + error-rate + trend pattern detectors
- Per-prediction confidence + rule-level evidence drill-down
- Calibration histogram surfaces over-confident detectors
- Reads Datadog, Prometheus, OpenSearch, incident.io
name: restart-unhealthy-pods
trigger:
condition: pod.restarts > 5 in 10m
severity: warning
actions:
- type: kubernetes/restart-pod
params:
graceful: true
timeout: 30s
- type: notify/slack
params:
channel: "#ops-alerts"
approval:
required: false
trust_score_min: 0.85Fix issues automatically, safely
Define remediation runbooks in simple YAML. Obvia executes them automatically based on your policies, with full audit trails and rollback capabilities.
- Declarative runbook definitions
- Trust-based auto-approval system
- Dry-run mode for safe testing
- Automatic rollback on failures
Extend with a rich ecosystem
Demo seed ships 8 plugins covering source ingestion (Datadog, Prometheus, OpenSearch), action execution (Kubernetes restart + scale), and notification (Slack, PagerDuty, incident.io, GitHub). MCP-server plugins extend the agent tool surface at runtime — point at any compliant server and its tools register automatically.
- One-click plugin installation
- Version management & updates
- Community ratings & reviews
- Open source plugin SDK