Updated on 2024-02-01 GMT+08:00

Application Scenarios

Improving User Experience

Pain Points

Optimal user experience has become the core competitiveness of Internet enterprises. They strive to monitor real user experience, reduce churn rate, and improve user conversion rate.

Solutions

AOM analyzes the complete process (user request > server > database > server > user request) of transactions in real time, enabling enterprises to better monitor user experience. For transactions with poor experience, AOM locates problems through topology and tracing.

  • Real user monitoring (RUM) monitors page performance, JS error requests, API requests, and service operations metrics (such as PV and UV) in real time.
  • User session tracing locates slow requests, loading, and interactions that affect user experience and monitors user usage in real time.
  • Page loading performance analysis provides metrics (such as the time to first frame, white screen time, and interaction time), helping you restore user experience and locate the causes of slow access.

Locating Application Performance Bottlenecks

Pain Points

With growing businesses and increasingly complex logic, it is difficult to analyze and locate application performance problems. O&M personnel face great challenges in sorting out the relationships between applications, locating error traces, and managing APIs and databases.

Solutions

AOM can diagnose exceptions in large distributed applications. When an application breaks down or a request fails, you can locate faults in minutes through topology and drill-down analysis.

  • Automatic discovery helps you locate performance bottlenecks.
  • Large-scale service access scenarios can be reproduced to help you identify application performance problems in advance.
  • Key metrics can be compared to optimize application performance.
  • You can set alarm rules based on metric trends to detect exceptions in a timely manner.

Maintaining Containers

Pain Points

Prometheus is ideal for monitoring containers. Since self-built Prometheus is costly for small- and medium-sized enterprises (SMEs) and insufficient for large enterprises, many are turning to hosted Prometheus.

Solutions

AOM fully interconnects with the open-source Prometheus ecosystem. With Kubernetes clusters connected to Prometheus, enterprises can monitor performance metrics of hosts and Kubernetes clusters through Grafana dashboards.

  • Collect metrics through kube-prometheus-stack, self-built Kubernetes clusters, ServiceMonitor, and PodMonitor to monitor service data deployed in CCE clusters.
  • Various alarm templates help you quickly detect and locate faults.