Reduce alert noise
Group related signals into service-aware situations with impact, ownership, and priority.
Product
Correlate alerts, logs, topology, infrastructure state, cloud dependencies, services, changes, and runbooks into a live operational graph AI agents can reason over and act on.
Ingest events, alerts, metrics, logs, traces, deployments, and health signals.
How it works
Group related signals into service-aware situations with impact, ownership, and priority.
Trace symptoms to dependency paths, recent changes, degraded checks, and service health.
Connect incidents to problem candidates, runbook updates, change controls, and learning loops.
Use policies, approvals, confidence thresholds, rollback state, and evidence capture for remediation.
Product capabilities
Auto-discover services, infrastructure, cloud resources, dependencies, and ownership.
Reduce alert noise by grouping related signals around affected services and business impact.
Trace symptoms to dependency paths, recent changes, failed checks, and degraded services.
Score service health continuously and surface failure risks before they cascade.
Convert detection into governed remediation with approvals, rollbacks, and audit trails.
Give NOC, SRE, and service owners one shared view of incident context.
Use cases
Cluster alerts, logs, traces, and health checks around affected services and owners.
Show dependency paths, recent changes, infrastructure state, and likely causal signals.
Track availability, performance, error budgets, SLA exposure, and customer impact.
Move from diagnosis to approved remediation with rollback and audit evidence.
Connect deploys and changes to incidents, service degradation, dependency risk, and approvals.
Surface risk trends and failure patterns before they become incidents.
How StackFlow automates work
Live product workspace
IT Operations Management connects signals, graph context, policy, approvals, automation, and evidence in one StackFlow operating model.
Platform preview
Topology, event correlation, service health, and root cause in one view
Graph context and service ownership attached
Policy, approval, and rollback state visible
Trend and governed resolution over time
Each action links to graph context, policy checks, owner approval, evidence, and business impact.
Business outcomes
target reduction in duplicate situations
target improvement with graph context
target recurrence reduction
runbooks linked to approval trail
Third-party software integrations
StackFlow brings existing ITSM, observability, cloud, identity, CI/CD, security, and collaboration systems into the same product operating model.
Every connector feeds the same signal, graph, workflow, AI decisioning, and audit model.
Tickets, requests, changes, approvals, and collaboration context.
Signals, health, topology, escalations, logs, and event context.
Assets, projects, resources, posture, policy, and cost signals.
Access, deployment events, ownership, controls, and release context.
Resources for you
See correlated signals become root-cause-ready incidents and governed runbooks.
OpenPlan topology, correlation, owner routing, remediation, and measurement.
OpenEstimate alert reduction, MTTR, recurrence, and outage impact.
OpenReview approval, rollback, policy, and evidence patterns.
OpenFrequently asked questions
StackFlow correlates signals around services, topology, dependency paths, recent changes, ownership, and business impact.
No. StackFlow connects observability, ITSM, cloud, CI/CD, identity, and collaboration systems into a governed operations workflow layer.
StackFlow uses graph context, recent changes, health signals, runbooks, and historical incidents to surface likely causes and recommended actions.
Yes. Remediation can run through policies, approvals, confidence thresholds, rollback plans, and audit evidence.
Powered by the StackFlow AI Platform
Correlate alerts, logs, topology, infrastructure state, cloud dependencies, services, changes, and runbooks into a live operational graph AI agents can reason over and act on.