SolarWinds IT Incident Response (Squadcast) Features

A means to view and analyze a large amount of data in order to gain business insights.

Reports based on IT incidents so IT members can prioritize high risk issues and maintain a record of problems and how often they occur.

The ability to create flowcharts and other means to outline specific processes to ensure that all requirements are met.

Creates alerts when tracked assets encounter errors or performance issues.

Automates repetitive tasks associated with IT service operations and maintenance.

Provides graphics, dashboards, and general reporting around IT service, assets, and incidents.

Provides administrative tools for routine maintenance, upkeep, and tracking.

Gives administrators control over user privileges and accessibility for IT assets.

Gives administrators control over hardware and software resource allocation and tracking.

Controls policies and configurations across business applications and hardware.

Monitors systems constantly in real-time.

Alerts users of incidents and issues as soon as they arise.

Generates accurate incident reports.

Assigns tickets to relevant team members.

Cultivates a standardized workflow for enhanced organization.

Grants transparent overviews for the lifecycle of each incident.

Correlates logs, metrics, traces, and alerts to isolate high-signal issues faster.

Links incidents to recent deployments, commits, configuration changes, or feature flag updates.

Detects abnormal behavior using dynamic baselines, auto-adaptive thresholds, or learned patterns.

Correlates related alerts and suppress duplicates to reduce alert fatigue and focus attention.

Routes incidents to the right responders and enrich on-call actions with service and incident context.

Tracks remaining error budget and burn rate against reliability targets.

Defines service level indicators and objectives for services, user journeys, or business-critical operations.

Model service dependencies and surface health, impact, and reliability status for stakeholders.

Assembles timelines, evidence, and summaries that guide responders through triage and diagnosis.

Captures code-level diagnostics in running systems without redeploying or restarting services.

Identifies likely causes across services and dependencies using topology, causality, or learned relationships.

Validates suspected causes with live runtime evidence instead of static inference alone.

Executes runbooks and multi-step workflows automatically in response to alerts or incidents.

Inserts approvals or decision gates before high-impact remediation steps are executed.

Embed reliability workflows into existing tools through integrations and APIs while enforcing secure access across hybrid or legacy environments.

Generates remediation guidance or code changes from incident context and observed telemetry.