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Application Performance Management Plus

Product overview

Product advantages

APMPlus provides benefits such as low-cost integration, end-to-end monitoring, and comprehensive coverage for AI scenarios across the entire chain. This enables you to quickly locate issues and improve service quality. This topic describes the benefits of APMPlus in detail.

LLM observability

As AI and LLMs explode in popularity, AI application architectures are evolving toward distributed and heterogeneous systems. Model inference has evolved from single-node execution to complex pipelines involving data preprocessing and multimodal fusion. In these dynamic topologies, traditional monitoring solutions struggle to track performance fluctuations or locate faults. End-to-end observability is therefore critical to trace anomalous data flows across components and pinpoint bottlenecks throughout the inference pipeline. APMPlus already adapts to mainstream agents and inference frameworks. It not only supports root cause analysis in AI LLM scenarios but also collects golden signals specific to AI workloads. This achieves comprehensive coverage for all AI scenarios and full support for LLMs, ensuring high availability and cost optimization for LLM applications.

End-to-end monitoring

When the system receives and processes a request, multiple network devices and applications typically work together. A single request triggers a sequential series of calls among different applications. A complete request trace is generated in this process, and the TraceID associates each node along the entire trace. APMPlus provides end-to-end monitoring capabilities for LLM, App, WebPro, and Mini Program Pro applications, as well as networks. It establishes a comprehensive end-to-end monitoring system from the frontend to the backend application system. This enables quick issue detection and localization. By associating server-side monitoring data with TraceIDs, it facilitates observation of the complete traces of request calls.

Real-time monitoring

APMPlus supports quick issue localization through real-time monitoring. It not only locates issues in LLM traces quickly and accurately but also dynamically visualizes the running status of inference services. In addition, it can drill down into exceptions at each node of the LLM trace and record a complete snapshot of the 15 minutes before an issue. The end-to-end data is provided for post‑mortem analysis, which helps you instantly grasp system health and take targeted measures.

Non-intrusive integration

APMPlus already provides transparent instrumentation for mainstream inference frameworks, agent frameworks, and MCP services. It also supports non‑intrusive integration at low costs for server‑side applications (Java/Python) and client‑side applications (App/Web), requiring no modification to business code. Its performance overhead is lower than that of open‑source alternatives. This lowers the barrier to entry.

Exception scene restoration

APMPlus not only helps you comprehensively detect all kinds of exceptions but also provides various scene‑restoration capabilities, including but not limited to stack traceback, logcat capture, scheduling analysis, Tombstone restoration, and user interaction replay.

Last updated: 2026.09.03 11:19:43