Nova AI Ops is a single AI-native platform that replaces the tangled stack most teams run today: separate tools for monitoring, alerting, on-call, dashboards, logs, and incident response, each with its own bill, login, and learning curve. Built for SRE, DevOps, and platform engineering teams who refuse to accept 3am pages as normal. Every feature on this page is included in every Nova AI Ops plan, no hidden modules, no per-host pricing, no professional services required.
At the core of Nova AI Ops is a fleet of 100 autonomous AI agents organized across multiple specialist domains. These agents continuously ingest metrics, logs, traces, and events from your entire infrastructure, correlate signals across systems, and execute remediation runbooks with confidence scoring. When an incident requires human judgment, Nova pages the right engineer with a pre-built summary containing the root cause, impacted services, suggested fix, and every relevant metric. When an incident can be safely auto-remediated, Nova does it in seconds, before your customers notice.
The AI layer is what makes Nova different from every AIOps tool built before 2024. We don't use statistical anomaly detection dressed up as AI, we deploy actual autonomous agents that read runbooks, execute diagnostic commands, and make remediation decisions with confidence scoring. Agents own specific categories (pod lifecycle, network policies, certificate management, database health) and coordinate when incidents span multiple domains. Every agent decision is logged with reasoning for compliance and explainability.
Specialist agent domains working 24/7. From incident response to security and compliance, each agent is a domain expert.
Auto-generated executable runbooks that learn from your incident history.
AI agents that execute fixes autonomously. Rollbacks, scaling, restarts, and config changes.
One unified view across metrics, logs, traces, and events. No more jumping between Datadog dashboards, Splunk queries, Grafana panels, and Jaeger waterfalls to piece together what happened. Nova ingests from every major observability source, correlates across signal types, and surfaces the single timeline of cause and effect that your engineers actually need during an incident. Cardinality-independent pricing means you can tag everything without watching your monthly bill explode.
The four pillars of SRE observability in one view. Latency, Traffic, Errors, and Saturation.
A single pane of glass for your entire infrastructure. Live metrics with zero query lag.
Search billions of log lines in milliseconds with anomaly detection and pattern analysis.
1000 prebuilt alert rules tuned for the SRE problems teams actually hit. Toggle on what fits your stack, override thresholds per environment, skip the blank rule editor entirely.
Full incident lifecycle management, detection, triage, escalation, remediation, and postmortem, all in one platform. No PagerDuty subscription on top of Nova, no separate incident.io bill, no Rootly integration to maintain. Nova includes on-call scheduling with timezone awareness, escalation policies with acknowledgment timeouts, war room creation with Slack and Zoom bridges, and automated postmortem generation that writes the first draft for you based on the incident timeline and every action taken.
AI-powered detection, smart severity scoring, blast radius analysis, and automated lifecycle management.
Intelligent scheduling that respects time zones, workload, and fatigue levels.
Automatically generated incident reports with timeline reconstruction and root cause analysis.
Synthetic checks from 30+ global regions, real user monitoring (RUM) with Core Web Vitals, uptime monitoring with per-second granularity, and chaos engineering primitives for proactive resilience testing. Nova doesn't just tell you when something is down, it tells you before it's down by learning your baseline over 14 days and flagging drift in latency, error rates, and saturation. Chaos experiments run on schedules you control so you can validate runbooks before you need them.
Proactively test your APIs, websites, and critical user flows from 20+ global locations.
ML models trained on your infrastructure patterns detect anomalies before they become incidents.
Track infrastructure performance over weeks and months. Spot degradation trends early.
Enterprise-grade infrastructure underneath every feature: SOC 2 Type II audit in progress, with controls aligned to HIPAA Security Rule and PCI-DSS (BAA available on request, formal attestation on the roadmap), SAML SSO with any IdP, SCIM provisioning, role-based access control down to the resource level, and full audit logging with 7-year retention for regulated industries. Blue/green deployments for zero-downtime rollouts, 99.9% uptime SLA target for enterprise tiers, private cloud options for customers who require data residency, and a public API that every UI action is built on top of, anything you see in the Nova UI you can automate.
Real-time health, dependency mapping, and SLO compliance across every service.
Enterprise-grade change management for AI-driven actions with full audit trails.
AI-powered terminal that translates natural language into infrastructure commands.
Eight layers of guardrails so your agents never break what they are supposed to fix. Hard caps, dry-runs, post-action verification, and human-in-the-loop on the calls that matter. This is what makes agentic SRE safe to point at production.
One click halts any agent, any tenant, or the entire platform when something starts misbehaving.
Detects and neutralizes adversarial input before it reaches an LLM, so a hostile log line cannot take over an agent.
Hard ceilings on AI spend per tenant and per agent, with auto-halt when a runaway agent burns through budget.
Risk-gated remediation. If an SLO is depleted, we block destructive automations until a human reviews.
Cross-tenant access attempts are caught and blocked at the boundary. Customer A cannot see Customer B data, full stop.
After every remediation, agents re-probe metrics at T+5m, T+1h, and T+24h to confirm the fix held.
When multiple agents disagree on root cause or fix, the arbiter resolves the conflict deterministically before any action runs.
Digital-twin dry-run of any agent action before it touches production. See the predicted impact, then approve or reject.
Most teams are fully operational in under 5 minutes. One-line agent install, OAuth-based cloud account connection, and auto-discovery of your services, databases, and existing monitoring tools. Nova imports your existing Datadog dashboards, PagerDuty escalation policies, and Grafana alert rules automatically, you don't have to rebuild anything. Run Nova alongside your existing stack during the evaluation period and deprecate tools at your own pace once you trust the results.
One command installs the Nova AI Agent on any Linux or macOS server. The agent monitors CPU, memory, disk, network, processes, containers, and logs automatically.