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DirectoryObservability & MonitoringAPM & Distributed TracingAppDynamics (Cisco)

AppDynamics (Cisco)

About AppDynamics (Cisco)

AppDynamics (Splunk AppDynamics) delivers full-stack observability linked to business performance for hybrid and three-tier applications. It is part of the Splunk Observability portfolio. The product covers application performance monitoring, application security, monitoring for SAP Solutions, and digital experience monitoring. It can be used alone or together with other Splunk products.

Products

  • Splunk AppDynamics: Optimizes hybrid and on-prem application performance with full-stack observability linked to business performance.
  • Splunk IT Service Intelligence: Monitors service health, detects anomalies, and consolidates alerts and events to reduce alert noise.
  • Splunk Agent Observability: Evaluates agent behavior, tunes performance across the AI stack, and optimizes token usage and costs.
  • Splunk SOAR: Automates triage and enrichment activities to respond to security incidents.

Used for

  • Correlating performance metrics with business outcomes
  • Monitoring end-user digital experiences across web, mobile, and synthetic monitoring

Who it is for

  • The product is intended for ITOps, Engineering, Network, and Security teams.
  • It targets organizations running hybrid and three-tier applications.
  • It applies to organizations using SAP systems.

From AppDynamics (Cisco)'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 AppDynamics (Cisco). 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

www.appdynamics.com Pricing page
CategoryObservability & Monitoring
SubcategoryAPM & Distributed Tracing

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