APM Tracing Guide

Introduction to APM Tracing

APM (Application Performance Monitoring) tracing in Multicloud Observability Platform provides a means to monitor and analyze the performance of applications by tracking requests as they flow through various services. These traces enable development teams to identify and improve potential application inefficiencies and user experience by providing insights into performance metrics such as latency, errors, and bottlenecks. APM traces also provide information about the behavior of distributed systems, microservices, and serverless architectures.

Features and Capabilities

Multicloud Observability Platform APM includes various tabs for data visualization which your organization can use for a broad overview of information at a glance or detailed analysis for troubleshooting and optimization of your application. You can access the APM features by clicking APM from the left blade or by hovering over it and selecting a page you want to access.

Overview Tab

The Overview tab of Multicloud Observability Platform APM tells you the number of online services you are tracking at a specific time period as well as the top 10 resources that have high response times and resources that have 4xx and 5xx response statuses.

Preview

Traces Tab

You can use the Traces tab to monitor or troubleshoot application performance issues in depth. The filter function can be used to find the specific type of trace that you are interested in, and you can click on the trace to show the flame chart for the end-to-end network request flow.

Preview

Profiling Tab

Multicloud Observability Platform supports profiling, which can be accessed under the Profiling tab. It is a powerful tool that can display detailed performance metrics and help identify performance bottlenecks and optimization opportunities in your application.

Preview

Key Features and Benefits

• Real-Time Monitoring: Get real-time insights into application performance, detect issues quickly, and respond promptly
• Detailed Tracing: Trace requests through different services to identify latency, errors, and bottlenecks
• Profiling: Analyze the performance of your application code and identify optimization opportunities
• Comprehensive Analytics: Perform detailed analysis of trace data to identify trends and patterns

Common Use Cases

1. Performance Optimization:

• Identify and address performance bottlenecks in your application
• Monitor response times and optimize resource allocation

2. Error Detection and Troubleshooting:

• Detect and troubleshoot errors in your application
• Use detailed traces to find the root cause of issues

3. User Experience Improvement:

• Monitor user interactions and improve the user experience
• Identify and address issues that affect user satisfaction

References

APM tracing in Multicloud Observability Platform provides powerful tools for monitoring, analyzing, and optimizing application performance. By leveraging the features and capabilities of Multicloud Observability Platform APM, development teams can improve application efficiency, user experience, and overall system performance.