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Product Value

Real User Monitoring​

  • Real-Time Experience Reconstruction: Instantly understands how users perceive the application. Detects performance hiccups—lags, slow loads, or functionality gaps—and responds with precision..

  • Accurate Performance Diagnosis: Utilizes full-chain tracing, intelligent exception categorization, and remote debugging to identify bottlenecks and resolve failures, bolstering overall system resilience.

  • Comprehensive User Journey Insights: Replays view transitions, interaction trails, and request flows to map the complete user journey. Augmented by session analytics and user profiling, this empowers business teams to address VIP-level issues and elevate satisfaction..

Full-Stack Application Performance Management​

  • Enhance User Satisfaction: Continuously monitor application performance to ensure applications run at user-expected levels, improving user satisfaction, reducing churn, and strengthening user loyalty.

  • Rapid Diagnosis and Localization: Provide real-time performance data and distributed trace tracking to help IT teams quickly locate and resolve issues, reduce mean time to resolution (MTTR), ensure business continuity, and maintain brand reputation.

  • Reduce Operational Costs: Track resource usage for servers, storage, network bandwidth, and other resources. Through data analysis, help enterprises allocate resources more effectively, reduce unnecessary costs, and improve operational efficiency.

  • Facilitate Product Development: As an integral part of the product development process, leverage monitoring and analysis capabilities to track traffic, identify performance bottlenecks, and detect errors. Fix issues before application deployment, improve product quality, and reduce post-deployment maintenance workload.

  • Promote Cross-departmental Collaboration: Share metrics and analytical data across business departments, promoting better communication, reducing departmental silos, increasing employee engagement, and improving overall collaboration efficiency.

Runtime Application Security​

  • Agent Reuse for Efficiency: Based on Tingyun APM's existing agent data collection, enable application security with one click for security event detection and blocking.

  • Deep Application Protection: Deep protection tightly integrated with the application itself, understanding and reflecting the application runtime context and business invocation logic.

  • Application Endpoint Visibility: Proactively detect application APIs and runtime components, providing visibility management of endpoints to meet enterprise compliance audit requirements.

AI-Powered Intelligent Analysis and Assistance​

  • Operations Knowledge Q&A: The AI assistant features powerful natural language understanding and knowledge retrieval capabilities, enabling rapid responses to various questions encountered during operations based on massive operations knowledge bases. Significantly reduce onboarding costs for new team members, transforming "I don't know" into "Now I know" instantly.

  • Natural Language Query: Users simply describe the time range, service, and keywords in natural language, and the system automatically translates them into NBQL query statements, retrieves results in parallel, and supports returning time-series charts and heatmaps. Eliminate the need for manually writing complex statements, dramatically improving troubleshooting efficiency.

  • One-Click Metric Analysis: For any anomalous metric, click "AI Analysis," and the system automatically retrieves related data such as concurrent metrics, traces, and events. Combined with anomaly detection, suspected issues, and AI inference capabilities, it performs in-depth analysis to discover underlying root causes.

  • Intelligent Assisted Analysis: From perspectives of applications, instances, requests, and other entities, automatically aggregate all data including metrics, traces, events, and configurations for that entity and its upstream/downstream dependencies. Conduct in-depth analysis from response time, TPS, and error rate perspectives, helping teams quickly understand overall risks, identify responsibility boundaries, and restore business stability.

Flexible Multidimensional Data Exploration​

  • Flexible Data Querying: Support multiple data query methods (such as NBQL queries and graphical queries) to meet different user query needs. Flexible data querying capabilities enable users to quickly obtain required information.

  • Visualization and Analysis: Provide powerful data visualization capabilities, helping users present data in intuitive formats such as charts and dashboards. Visualization analysis helps users better understand and interpret data.

  • Data Exploration and Discovery: Support free data exploration and discovery, encouraging users to uncover potential patterns and trends in data. Through data exploration, users can gain more business insights and innovation opportunities.

  • Root Cause Exploration: Provide root cause analysis tools to help users quickly identify and analyze the fundamental causes of problems. Through correlation analysis of data tracking, help users locate performance bottlenecks and fault sources in systems.