AppDynamics - View more...

Page 2 of 2: View more...

Key Features

Some of the standout features of Splunk AppDynamics include:

• Business performance analytics: Correlate application, transaction, and end-user data with business metrics (revenue, conversions, etc.).
• Anomaly detection & root cause analysis: Use AI/ML to baseline “normal” behavior, detect deviations, and pinpoint root causes.
• AI / LLM application monitoring: Monitor compliance, cost, and performance of generative AI / LLM workloads.
• Digital Experience Monitoring (DEM): Track how users interact with applications (web, mobile, API), across devices, browsers, and third-party services.
• Network performance correlation: Identify how ISP, APIs, third-party services, and networking affect user experience and app performance.

Benefits for the Client

• Prevent performance degradation and outages — Detect issues early in the stack (code, network, infrastructure) before they impact users.
• Align IT metrics with business outcomes — Understand which performance issues matter most in terms of revenue, conversions, and business KPIs.
• Improve operational efficiency — Reduce mean time to resolution (MTTR) and the toil of firefighting across silos (dev, ops, infra).
• Secure applications in real time — Detect runtime vulnerabilities and attacks, and respond before they impact business.
• Cost control & resource optimization — Detect inefficient patterns, anomalies, or scaling issues to avoid overprovisioning or waste.

Why Splunk AppDynamics is Different ?

• Unified observability + security — Application monitoring and runtime security are integrated, so you can monitor and protect in a unified way.
• Hybrid & on-prem support — Many observability tools are cloud-native only; AppDynamics is designed for hybrid and on-premises use.
• Flexible instrumentation — Supports both agent-based and OpenTelemetry data collection, giving customers flexibility.
• Business transaction focus — Unlike many tools that monitor low-level metrics, AppDynamics emphasizes key business transactions (login, checkout, etc.).

Typical Use Cases

• Consumer web & mobile applications — Ensure fast, reliable experience across devices and networks.
• Financial services / fintech — Monitor critical transactions like payments, trades, or mobile banking flows.
• SaaS / platform providers — Provide SLAs, detect performance regressions, and maintain uptime.
• AI / Gen AI / ML applications — Monitor models, cost, performance, and compliance aspects of AI/LLM apps.

Services & Support (What We Offer)

• Implementation / onboarding services — Expert help to instrument, configure dashboards, and integrate with your stack.
• Consulting & best practices — Assess your architecture, observability gap analysis, and guidance for observability maturity.
• Continuous optimization — Reviews and tuning to ensure the solution scales, remains performant, and stays aligned to business needs.