Topology-aware observability, prediction, root-cause analysis and safe automation across WAN, cloud and Kubernetes networking.
Talk to a Network AIOps Specialist
Each service can be taken alone. They share telemetry, policy and runbooks when combined.
Unify health, topology, incidents and automation for enterprise, cloud and Kubernetes networks.
Example scenario
Degrade a site link and show topology-aware diagnosis and automated diagnostics.
Forecast path degradation from latency, loss, jitter and utilization and recommend safe path changes.
Example scenario
Degrade the preferred path and proactively switch a simulated route.
Suppress downstream symptoms, rank the probable root cause and run approved repair workflows.
Example scenario
Create one upstream failure that causes many alerts and identify the actual root cause.
Detect risky firewall, security-group and network-policy drift and conflicting rules.
Example scenario
Add an overly broad rule, detect it and revert it through an approved workflow.
Correlate CNI, DNS, ingress, NetworkPolicy and mesh signals to diagnose cluster networking failures.
Example scenario
Introduce a bad NetworkPolicy or DNS issue and diagnose and remediate it.
Every service is built as a local-first lab, then extended to your private cloud and to AWS, Azure or GCP.
Ingestion health, processing latency, decisions, automation success and failure, overrides and false positives where measurable.
Validated, allowlisted actions with approval rules and least-privilege identities.
Healthy, false-positive, policy-blocked, automation-failure, rollback and telemetry-source-failure cases, all exercised.
Retained evidence for every decision, a short demo script, and setup, troubleshooting and cleanup documentation.
Rules every AIOps action follows, in every track.
AI output never goes straight to a shell, cloud API or cluster. It selects from validated runbooks.
Disruptive actions wait for a person. Low-risk, reversible steps can run on their own once you agree the rule.
Every action is followed by a health check, with rollback or compensation when the check fails.
Signals, scores, model or rule versions, approvals and results are retained and reviewable.
Adapted to the tools you already run.
Combine tracks to share telemetry, policy and runbooks.
Tell us what you run and where operations hurt most. We will suggest where to begin.
Talk to an AIOps Specialist