Live service topology
Continuously maps applications, infrastructure, cloud resources, APIs, queues, data stores, owners, and business services into one operational graph.
Graph Intelligence
Live infrastructure, cloud, and service dependency graph.
Map AWS, Azure, GCP, Kubernetes, services, owners, policy, cost, risk, incidents, changes, and business impact so AI agents have the context to reason before they act.
Graph CMDB
Governed AI active
Incident timeline
Signal ingested from observability stack
Graph impact: payments API, 4 services
AI plan requires approval: restart pool
Runbook executed with rollback ready
Agent confidence
96policy aligned
Graph CMDB
Actions
Features
How StackFlow turns CMDB data into operational intelligence.
The Graph CMDB is the context layer behind StackFlow incident response, change risk, cloud operations, FinOps, compliance, and executive visibility.Signal-to-service correlation
Links alerts, logs, traces, incidents, changes, deployments, cost events, and policy violations to the services and owners they affect.
Dependency and blast radius
Shows upstream and downstream dependencies before a change, remediation, or AI action is approved, including impacted customers and business functions.
AI grounding context
Gives StackFlow agents the service relationships, runbooks, policy controls, knowledge articles, and prior incident history needed to reason safely.
Business impact scoring
Ranks incidents, risks, and remediation plans by service criticality, customer exposure, revenue impact, compliance exposure, and SLA urgency.
Governed graph updates
Keeps graph changes auditable with source lineage, confidence scoring, human approvals, ownership review, and rollback-ready change history.
How it works
From disconnected records to an AI-ready service graph.
Ingest
StackFlow connects to ITSM, observability, cloud, CI/CD, identity, asset, collaboration, and security tools.
Normalize
Events and records are deduplicated, typed, enriched, and mapped to StackFlow entities such as services, assets, owners, controls, and workflows.
Relate
The platform builds dependency edges across services, infrastructure, changes, incidents, policies, and business capabilities.
Reason
AI agents use the graph to identify root cause, understand blast radius, score confidence, and generate a governed action plan.
Act
Approved workflows update tickets, trigger runbooks, notify owners, document evidence, and improve the graph with outcome feedback.
StackFlow in practice
The graph is used every time StackFlow decides what to do next.
When a signal arrives, StackFlow does not treat it as an isolated alert or ticket. The platform checks the service map, recent changes, ownership, policy boundaries, customer impact, runbook history, and approval rules before recommending or executing action.
Watch Graph DemoRoot cause
Cluster noisy alerts into one incident and identify the most likely failing service, dependency, or recent change.
Change risk
Predict blast radius before approval so teams understand which services, customers, and controls may be affected.
Remediation plan
Generate a policy-aligned action plan with rollback, owner notification, evidence capture, and approval gates.
Resources
Evaluation materials for Graph CMDB implementation.
Use these resources to plan connectors, data quality, ownership, governance, and rollout paths for StackFlow graph intelligence.Graph CMDB operating model
Review StackFlow graph entities, relationships, data sources, confidence scoring, and governance controls.
OpenIncident impact analysis with graph context
See StackFlow connect an alert to affected services, owners, recent changes, and the safest remediation path.
OpenConnector and data readiness checklist
Prepare ITSM, observability, cloud, CI/CD, identity, and asset data sources for graph ingestion.
OpenAI grounding and graph governance
Understand how StackFlow agents use graph context while preserving approvals, audit trails, and policy controls.
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