Error Analysis

Error Analysis

Efficiently troubleshoot and resolve issues within your app by conducting error analysis, guaranteeing a smooth and frustration-free user journey.


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Narrow down errors to the exact code line

Get a unified view of all the error information without the need to navigate to different pages. Dig through every issue, analyze and fix them to deliver a better end-user experience to your customers.

Consolidated Error Details From Every Source

Consolidated Error Details From Every Source

Fetch complete visibility into all the error details including the error message, code line number, root-cause, and time of occurrence.

  • Error Details: Gain complete error details, such as error message and code line number, to locate the section of code causing errors.
  • Track based on URL: Obtain URL, path, and host to find the specific page or resource to perform error tracking more effectively.
  • Error Contextual Insights: Access contextual information, such as browser, operating system, location, and device of the errors.
  • Instant Alerts: Receive real-time alerts of every JavaScript error, and configure them to notify teams via email, SMS, or other channels.
Master Error Analysis and Tracking in One Place

Master Error Analysis and Tracking in One Place

Error tracking metrics in one centralized location to effectively analyze and resolve errors to minimize downtime and ensure optimal performance.

  • Jump to the Session Replay: Access session replay videos to watch the user's experiencing error.
  • Centralized Error Tracking: Explore a unified dashboard to analyze errors effectively instead of searching through multiple logs or systems.
  • Error Resolution Optimization: Analyze the resolution process with error triaging, assign error tasks with teams, & track progresses.
Dive Deeper into Error Stack Trace

Dive Deeper into Error Stack Trace

Review the complete error stack trace to quickly identify which function call or method led to the error.

  • Complete Error Stack Trace: Detailed report on the sequence of function calls or methods that led to the occurrence of an error.
  • Rapid Source Identification: Understand the flow of execution & accelerate troubleshooting to immediately identify error's root cause.
  • Efficient Troubleshooting: Eliminate the need for manual code inspection across the entire application, saving time and resources.
Accurate Error Information on User and Events

Accurate Error Information on User and Events

Obtain error information such as the event ID, session ID, and device path to gain valuable insights into the root cause of every error.

  • Error Identifier with Event ID: Log the Event ID to identify the error and its associated cause, making troubleshooting much more efficient.
  • Session ID & User Tracker: Find out which user(s) experienced the error to isolate errors related to specific user behaviors.
  • Address Underlying Issues: Identify patterns, correlations, or dependencies that may be contributing to the occurrence of errors.

Frequently Asked Questions

What is error analysis?
Error analysis involves examining and understanding mistakes or errors that occur in software applications. It includes identifying the causes of errors, analyzing their impact, and determining appropriate strategies to resolve or mitigate them.
Why is error analysis important?
Error analysis holds significance for the following reasons:

1. It improves software quality by identifying and resolving errors.

2. It helps developers understand user frustrations and enhance the user experience.

3. It provides insights into the stability and reliability of the application.

4. It assists in identifying patterns or trends in errors, leading to proactive bug fixing and prevention.
How can errors be analyzed?
Errors can be analyzed using different methods, such as:

1. Reviewing error logs or messages generated by the application.

2. Analyzing stack traces to identify the sequence of events leading to the error.

3. Reproducing the error in a controlled environment for debugging.

4. Utilizing bug tracking tools or services that report errors in real-time.
Difference between a bug and an error
Bugs are defects or mistakes in the code or design. Any mistake made by the user while using the software is referred to as an error.
What are the common types of errors analyzed during error analysis?
Common types of errors analyzed during error analysis include:

1. Syntax errors: Caused by incorrect or invalid code syntax.

2. Runtime errors: Occur during program execution, like null pointer exceptions or divide-by-zero errors.

3. Logic errors: Mistakes in the logical flow or algorithm of the code, resulting in unexpected or incorrect results.

4. Configuration errors: Arise from misconfigurations of the application or its dependencies.

5. Network errors: Related to communication or connectivity issues between the application and external resources.
How can error analysis help in troubleshooting and debugging?
Error analysis aids in troubleshooting and debugging by:

1. Identifying the specific code line or block where the error occurred.

2. Understanding the sequence of events leading to the error.

3. Examining variables and data structures to identify inconsistencies or unexpected values.

4. Analyzing error messages and stack traces to pinpoint the root cause of the error in the frontend performance.
What are the steps involved in error analysis?
The steps involved in error analysis typically include:

1. Identifying and capturing errors using error tracking tools or manual logging.

2. Collecting relevant data and information about the errors, such as error messages, stack traces, and user feedback.

3. Analyzing the collected data to identify patterns, trends, or common causes of errors.

4. Prioritizing errors based on their impact, frequency, or severity.

5. Developing strategies to resolve or mitigate the identified errors.
How can error analysis contribute to software quality improvement?
Error analysis contributes to software quality improvement by:

1. Identifying and resolving bugs and errors, resulting in a more stable and reliable application.

2. Identifying areas of the code or specific functionalities that require improvement or refactoring.

3. Providing insights for proactive bug fixing and prevention in future releases.

4. Enhancing the overall user experience by addressing issues and reducing application errors.
How can error analysis be used for continuous improvement?
Error analysis can be used for continuous improvement by:

1. Tracking and analyzing errors over time to identify trends or recurring issues.

2. Incorporating lessons learned from error analysis into development practices and processes.

3. Implementing preventive measures to minimize the occurrence of known errors.

4. Regularly reviewing and updating error analysis techniques based on evolving needs and technologies.

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