Key Highlights
Motadata ObserveOps SLO lifts reliability from infrastructure to business services like payment processing, CRM, and customer portals, aggregating component health automatically and mapping dependencies when an SLO is at risk.
Measure reliability at the service level, not the component level.
SLO tracking for payment systems, CRM, ERP, customer portals, and business workflows.
Business service health scores aggregating underlying entity availability and performance.
Customer-facing visibility showing what the service experience actually looks like.
Service catalog integration mapping SLOs to the organization's service management framework.
Roll up component health into service reliability automatically.
Automatic aggregation of monitor, link, server, application, and database health into service SLOs.
Configurable aggregation logic per service: worst case, weighted average, or custom.
Aggregation reflecting infrastructure state changes instantly in service SLO status.
Historical aggregation data for per-service trend analysis and pattern identification.
Build reliability measures that span each tier a service depends on.
Network layer components tracking connectivity and throughput for service-critical paths.
Infrastructure layer components tracking compute, storage, and platform availability.
Application layer components tracking response time, error rate, and transaction completion.
Database layer components tracking query performance and availability for data-dependent services.
See which components determine service reliability, and by how much.
Live dependency map connecting services to all underlying entities they depend on.
Contribution analysis showing which component failures most impact service SLO status.
Cascading failure visibility tracing how an infrastructure event propagates to service impact.
Dependency map updates as infrastructure changes through auto-discovery.
Give each stakeholder the reliability view their role needs.
Executive dashboards showing service reliability health throughout the full portfolio.
Operational dashboards for SRE and NOC teams with entity-level contribution context.
Customer-facing service status views showing availability and performance against committed SLOs.
Historical reliability reports for leadership review and governance documentation.
Tie reliability risk to incident priority automatically.
SLO status linkage so incidents affecting at-risk SLOs receive elevated priority.
Business service impact scoring on infrastructure alerts, based on dependent SLO criticality.
Automated escalation for incidents that will breach service-level reliability targets.
Incident-to-SLO traceability documenting which incidents contributed to compliance gaps.
Intelligence
Infrastructure metrics live at the component level, reporting whether a server is up or a monitor responds. Business service reliability lives at the outcome level, whether a customer can complete a transaction or the portal responds within committed latency. A team can report near-perfect server availability while transactions fail because a dependent database is degraded, a network path is congested, or the application layer returns errors that infrastructure monitoring misses.
Business-Service-Driven Reliability closes this gap by measuring reliability where users experience it, at the service boundary. Dependency intelligence pinpoints where in the stack a problem originates, connecting infrastructure state to the business outcomes it affects.
How It Works
Define business services with entity composition and aggregation rules.
Connect underlying monitoring data from Motastore: availability, performance, events.
Aggregate entity-level health signals into business service SLO status immediately.
Map per-entity reliability contributions through dependency analysis.
Present service health dashboards with entity-level drill-down for investigation.
Link service SLO risk to incident priority and escalation workflows.
Role-Based Value
Report on business service reliability, not infrastructure components, in the language boards and customers understand.
Report on business service reliability, not infrastructure components, in the language boards and customers understand.
Align investment priorities with the services reliability failures hurt most.
Align investment priorities with the services reliability failures hurt most.
Know which business services are at risk before checking individual component alerts.
Know which business services are at risk before checking individual component alerts.
See how the services your platform supports perform against the commitments the business has made.
See how the services your platform supports perform against the commitments the business has made.
From Visibility to Control
Business service reliability measurement replacing infrastructure-metric uptime reporting.
Automated health aggregation removing manual correlation between component availability and service status.
Cross-layer SLO composition covering all tiers a service depends on in one reliability measure.
Dependency attribution connecting service reliability gaps to specific infrastructure causes.
SLO-linked incident prioritization giving reliability-impacting incidents appropriate urgency.
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