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DirectoryObservability & MonitoringAPM & Distributed TracingLightstep (ServiceNow)

Lightstep (ServiceNow)

About Lightstep (ServiceNow)

Lightstep consolidates monitoring data from multiple tools into a single platform. It shows applications, infrastructure, and database metrics in one service-oriented view. It integrates observability data, including traces and logs, into incident investigation. It is available as part of IT Operations Management.

Products

  • Service Observability: Unifies monitoring, cloud, and third-party data into a service-oriented view for incident investigation.
  • ServiceNow Otto for IT Operations Management: Triages alerts using generative AI.
  • Event Management: Reduces event floods from monitoring tools and provides insight into business service health.
  • Predictive AIOps: Predicts and prevents service outages before they impact end users.
  • Service Reliability Management: Supports IT teams in maintaining and improving the reliability of their services.

Used for

  • Prioritizing business-critical services by seeing how application performance affects business outcomes
  • Speeding root-cause analysis by consolidating monitoring data from multiple tools
  • Understanding how infrastructure changes affect applications
  • Sharing performance data across operations, security, and development teams
  • Surfacing early warnings and explaining issues before users notice

Who it is for

  • IT teams
  • Operations, security, and development teams

From Lightstep (ServiceNow)'s own website, read 2026-10-23. How we build listings.

How to evaluate APM & Distributed Tracing

This is how the CIOPages Research Team evaluates this category. It is not an assessment of Lightstep (ServiceNow). It comes from our Observability & APM Platforms buyer guide.

22%
Telemetry Coverage & Correlation
Unified metrics, traces, logs, real-user monitoring, synthetics, and continuous profiling; automatic correlation across signals; service maps and topology; Kubernetes, container, serverless, and cloud-provider auto-discovery; breadth and quality of the integration catalog
22%
Cost Control, Cardinality & Data Governance
Pricing-unit transparency and overage terms; high-cardinality handling without runaway cost; ingest-time filtering, sampling, aggregation, and tiered retention; a native or compatible telemetry pipeline; per-team budgets, quotas, and chargeback visibility so spend is governable, not just observable
20%
Distributed Tracing & APM Depth
End-to-end trace correlation across services and async boundaries, tail-based and adaptive sampling, code-level and method-level profiling, error tracking and exception grouping, database and dependency visibility, and frictionless OpenTelemetry trace ingestion alongside any native agent
16%
AIOps, Anomaly Detection & Root Cause
Quality of automated anomaly detection and alert noise reduction, causal versus correlative root-cause analysis, forecasting and capacity signals, and emerging agentic remediation — judged on accuracy during a real incident, not on the marketing name of the AI engine
12%
OpenTelemetry & Openness
Depth of native OTel support (traces, metrics, logs) versus a proprietary agent; whether collection is genuinely vendor-neutral or quietly locks you in; query-language portability; export and data-egress freedom; and how much re-instrumentation a future migration would actually require
8%
Scale, Reliability & Operability
Proven performance at your peak event and series volumes, multi-region availability and platform SLA, data-retention options, RBAC and SSO, and — if self-hosted — the operational burden of running and upgrading the backend at high cardinality

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Quick Facts

lightstep.com Pricing page
CategoryObservability & Monitoring
SubcategoryAPM & Distributed Tracing
PricingContact sales / custom quote

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