Application Error Management: Best Practices
Error Management

Application Error Management: Best Practices

Errors are inevitable in software development. In a straight course, it impacts user experience and business operations. Understanding the root cause of application errors is a must to mitigate them effectively.?

Why do application errors occur?

Application errors can result from design flaws, process inconsistencies, system-level errors, coding errors, configuration issues, software bugs, ineffective error handling, hardware failures, or external factors such as network outages, power failures, or security breaches. These errors will significantly impact the application's performance and reliability.??

Types of application errors

  1. Process-level error: Flaws in application design or development process. It is due to the gap in requirement analysis, poor coding practices, and inadequate testing. These errors will lead to functionality void and unexpected application behavior.

  1. System-level error: System-level errors encompass hardware failures, software errors, database crashes, network interruptions, or environmental problems that result in downtime and data loss.

Best practices for application error management

  • Implement proactive monitoring to trace application performance, anomalies, and potential errors.??
  • Comprehensive observability follows advanced logging and tracing techniques that provide in-depth data about application behavior.?
  • Set up a threshold level for error alerts to notify of critical errors and performance degradation.?
  • Investigate the root cause of errors to prevent the recurrence of incidents that slowly degrade application reliability.?
  • Conduct thorough testing to identify and address potential issues before deployment.
  • Regularly update the application components to keep up with the latest patches and security fixes.?
  • Develop and apply a well-defined incident response plan to handle errors promptly.?

AIOps help platforms enhance error management by leveraging AI and ML to detect patterns, correlate, perform predictive analytics, and automate workflow. This approach not only reduces downtime but also ensures smoother, more reliable application performance.

Autointelli AIOps brings real-time monitoring, automation, and predictive insights in a single tool. Ready to upgrade? Try our 14-day free trial or contact us at [email protected].?

要查看或添加评论,请登录

Autointelli的更多文章

社区洞察

其他会员也浏览了