Motadata APM
Overview
Application Performance Monitoring (APM) in Motadata helps you to understand how your applications behave and where the performance issues occur. It gives you deep visibility into every request moving through your application from APIs and databases to third-party services and background tasks.
Unlike traditional monitoring tools that focus on application infrastructure, APM in Motadata focuses on the application performance. It fetches trace data in real-time and visualizes how each request travels through your service(s). This helps teams across development, DevOps, and IT operations to resolve incidents faster and maintain smooth user experiences, .
Supported Languages
APM in Motadata AIOps supports multiple languages, platforms, and their associated frameworks. Each supported language comes with a specific agent-based setup for trace ingestion. The current support includes:
How APM Works in Motadata
Motadata's APM works by collecting trace data from your application using MotaAgent. This agent helps in fetching details of each request, such as how long it took, which services it passed through, and where errors occurred.
This trace data is sent to the AIOps platform and visualized in various views such as overview dashboards, transaction summaries, and flame charts. The flow of each trace is broken down into spans, representing steps like database queries, API calls, or internal logic. These spans are organized into a full trace, allowing teams to inspect performance in real time.
With this level of detailed information, developers can debug slow code, DevOps can monitor deployments, and IT teams can ensure reliability—all from a single interface.
Benefits of Using APM in Motadata
| Field | Description |
|---|---|
| Real-time Visibility | See live trace data as it flows through your application services and components. |
| Unified View | Get a complete idea across services, APIs, DBs, and background jobs. |
| Easy Setup | Configure trace ingestion easily through agent-based monitoring and service tagging. |
| Faster Troubleshooting | Quickly identify which part of the system is causing delays or errors. |
| Intelligent Analysis | Use dashboards, flame charts, and latency views to analyze application performance and identify bottlenecks. |