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Code Review

Pull Request Summary

Commit Message Review

Error Log Analysis

Test Case Generation

Internationalisation (i18n) Implementation

Prompt Enhancement

Log Management

Error Log Analysis

This Task automates the process of analysing application error logs to identify patterns, prioritise issues, and suggest potential root causes. Designed for use by Software Developers, DevOps Engineers, and System Administrators, the system performs the following functions:

  • Parses and categorises error logs from various sources and formats

  • Identifies recurring error patterns and their frequency

  • Prioritises issues based on severity, frequency, and impact

  • Suggests potential root causes for common error patterns

  • Provides recommendations for further investigation or resolution

  • Generates summary reports of error trends over time


It is designed to integrate with log management systems, monitoring tools, and incident management platforms. The template can be adapted to address specific log formats, error categorisation schemes, and prioritisation criteria within an organisation's operational framework. This customisation allows for tailored improvements in error analysis, incident response, and overall system stability management.

Example outputs:

{
  "error_patterns": [
    {
      "pattern": "Database connection timeout",
      "frequency": 37,
      "severity": "High"
    },
    {
      "pattern": "404 Not Found: /api/v1/users",
      "frequency": "152",
      "severity": "Medium"
    },
    {
      "pattern": "Memory allocation failed",
      "frequency": 5,
      "severity": "Critical"
    }
  ],
  "prioritised_issues": [
    "Memory allocation failures",
    "Frequent database connection timeouts",
    "High rate of 404 errors for user API endpoint"
  ],
  "potential_root_causes": {
    "Database connection timeout": [
      "Database server overload",
      "Network latency issues",
      "Insufficient connection pool size"
    ],
    "404 Not Found:/api/v1/users": [
      "Misconfigured route in API gateway",
      "Recent deployment introduced a regression",
      "Client-side using outdated API endpoint"
    ],
    "Memory allocation failed": [
      "Memory leak in application code",
      "Insufficient system resources",
      "Improper handling of large data sets"
    ]
  },
  "recommendations": [
    "Investigate and address the memory allocation failures as the highest priority",
    "Review and optimise database connection handling",
    "Check recent deployments for changes affecting the /api/v1/users endpoint",
    "Conduct a thorough review of memory management in the application"
  ],
  "error_trend_summary": "Over the past 24 hours, there has been a 25% increase in database connection timeouts and a spike in memory allocation failures in the last 2 hours.",
  "affected_components": [
    "Database connection pool",
    "API gateway",
    "User management module",
    "Memory management subsystem"
  ],
  "suggested_actions": {
    "Memory allocation failures": [
      "Run memory profiler to identify potential leaks",
      "Increase system monitoring for memory usage",
      "Review recent code changes related to data processing"
    ],
    "Database connection timeouts": [
      "Increase connection pool size",
      "Optimise long-running queries",
      "Check database server load and scaling options"
    ],
    "404 errors for user API": [
      "Verify API gateway configuration",
      "Check for discrepancies between API documentation and implementation",
      "Communicate with client teams about possible use of deprecated endpoints"
    ]
  },
  "overall_system_health": "The system is experiencing significant stress, particularly in memory management and database connectivity. Immediate attention is required to prevent potential service disruptions."