Autonomous Root Cause Analysis: From Alert to Answer in Seconds
Stop digging through five dashboards to find what broke. Ask WANDA, and get the root cause, with the reasoning behind it, before your coffee gets cold.
What Is AI Root Cause Analysis?
AI root cause analysis uses machine learning and autonomous reasoning to automatically trace an incident back to its source, instead of an engineer manually sifting through logs, metrics, and alerts across disconnected tools. WANDA goes further than log-based RCA: it correlates signals across your entire environment, infrastructure, applications, network, and security, into a single, explained answer, so you know not just what broke, but why, in seconds instead of hours.
Ask. Investigate. Resolve.
Ask WANDA a question in plain English, and get back a full, evidence-backed answer, no dashboards to build, no queries to write.
Cross-Layer Correlation
WANDA correlates signals across infrastructure, application, network, and security layers in a single pass, not just logs and metrics in isolation.
Noise Reduction & Alert De-Duplication
Before WANDA ever answers a question, it's already collapsed the alert flood into a single, de-duplicated incident, so you're not triaging 40 alerts that are really one problem.
Automatic Incident Context
Every incident comes with its context already built: what changed, when, and what else was affected, no manual digging through separate tools to piece the story together.
MTTR Reduction Without Manual Triage
Because correlation, noise reduction, and context are already done, resolution starts at "here's the answer," not "let me start investigating."
Built for Multi-Vendor, Not Just Your Stack
Root Cause Analysis Across Everything You Run
WANDA doesn't stop at application observability. It performs autonomous root cause analysis across:
Compute
Linux, Windows, NVIDIA GPU servers.
Virtualization
VMware environments.
Containers
Kubernetes and Red Hat OpenShift.
Network
Firewalls, routers, switches, load balancers, wireless access points.
Databases and Workloads
Databases and the workloads that depend on them.
Monitoring & Logging Sources
Prometheus, Zabbix, SolarWinds, Splunk, Loki, LogDNA, AWS CloudWatch, and more via MCP.
ITSM & Ticketing
ServiceNow, Jira.
No agents required (where possible). No vendor lock-in.
Real Results, Not Just Promises
Typical Wanclouds AI customers achieve:
Autonomous Troubleshooting, Not Just Detection
From Detection to Decision
Legacy monitoring tells you something is wrong. AI-powered troubleshooting tools like BigPanda and Logz.io go further and correlate the data for you. WANDA goes one step further still: because it reasons autonomously across your full environment, it doesn't just explain the incident, it can recommend the fix, and with your confirmation, take action. That's the difference between automated root cause analysis and autonomous troubleshooting: one explains, the other helps you resolve.