Bug Reporting and Tracking Procedures

Error Detection and Reporting

Frontend Error Reporting

• Tools Used: Sentry, Rollbar, or similar services.

• Functionality: Capture runtime errors in web applications.

• Code Example (JavaScript with Sentry):

import * as Sentry from '@sentry/browser';

Sentry.init({ dsn: 'YOUR_SENTRY_DSN' });

function mainFunction() {
    try {
        // Application code...
    } catch (error) {
        Sentry.captureException(error);
    }
}

Backend Error Reporting

• Tools Used: Sentry for server-side applications, ELK Stack for log management.

• Functionality: Detect exceptions and log errors in backend services.

• Code Example (Python with Sentry):

import sentry_sdk

sentry_sdk.init("YOUR_SENTRY_DSN")

def handle_request(request):
    try:
        # Handle request...
    except Exception as e:
        sentry_sdk.capture_exception(e)
        raise

Error Logging

• Tool: Elasticsearch, Logstash, and Kibana (ELK Stack).

• Functionality: Aggregate logs from various sources for analysis.

• Code Example (Logstash Configuration):

input {
    file {
        path => "/path/to/your/logs/*.log"
        start_position => "beginning"
    }
}
output {
    elasticsearch {
        hosts => ["localhost:9200"]
        index => "logstash-%{+YYYY.MM.dd}"
    }
}

Error Tracking and Management

• Tools Used: JIRA, Asana, or similar project management tools.

• Functionality: Organize and prioritize reported errors for fixing.

• Integration: Errors captured by Sentry or ELK Stack can be linked to JIRA or Asana to create tasks or tickets for developers.

Monitoring and Alerting

• Tools Used: Prometheus, Grafana, or similar monitoring tools.

• Functionality: Monitor application health and performance metrics.

• Code Example (Prometheus Configuration):

global:
  scrape_interval: 15s

scrape_configs:
  - job_name: 'uniapt-application'
    static_configs:
      - targets: ['localhost:9090']

Incident Response

Procedure:

• Step 1: Incident detection through automated alerts or error reporting.

• Step 2: Error assessment and prioritization in the project management tool.

• Step 3: Notification to relevant team members via email, Slack, or other communication channels.

• Step 4: Error resolution by the assigned developer or team.

• Step 5: Post-mortem analysis to prevent future occurrences.

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Expanding on our initial overview, let's delve deeper into the more sophisticated elements of UniAPT's error reporting and tracking procedures.

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Advanced Error Detection

Real-Time User Monitoring

• Tools Used: FullStory, Hotjar.

• Functionality: Captures user interactions to provide context to errors.

• Integration: Errors captured by Sentry can be correlated with user session data from FullStory or Hotjar for a deeper understanding of the issue.

Custom Error Handlers

• Functionality: Tailor-made error handlers for specific types of errors or application modules.

• Code Example (Custom Error Handler in Node.js):

process.on('unhandledRejection', (reason, promise) => {
    console.error('Unhandled Rejection at:', promise, 'reason:', reason);
    // Additional logic for handling specific types of rejections
});

Enhanced Error Logging

Structured Logging

• Functionality: Implementing structured logging for more effective log analysis.

• Code Example (Structured Logging in Python with JSON):

import logging
import json_log_formatter

formatter = json_log_formatter.JSONFormatter()

json_handler = logging.FileHandler(filename='/var/log/my-application.log')
json_handler.setFormatter(formatter)

logger = logging.getLogger('my_json')
logger.addHandler(json_handler)
logger.setLevel(logging.INFO)

logger.info('Structured log message', extra={'key': 'value'})

Proactive Error Tracking

Predictive Analysis

• Tools Used: Machine Learning algorithms.

• Functionality: Analyze error trends and predict potential future issues.

• Implementation: Utilizing data science techniques to analyze error logs and detect patterns.

Enhanced Incident Response

Automated Escalation

• Functionality: Automated systems to escalate critical issues to higher-level teams or management.

• Implementation: Integrating alerting systems with escalation workflows in project management tools.

On-call Schedules

• Tools Used: PagerDuty, OpsGenie.

• Functionality: Manage on-call schedules and alert relevant personnel during off-hours.

Continuous Improvement

Error Trend Analysis

• Functionality: Regularly analyze error reports and logs to identify recurring issues or areas for improvement.

• Implementation: Using tools like Kibana for ELK stack data to visualize error trends.

Feedback Loop to Development

• Functionality: Ensuring lessons learned from errors are fed back into the development process.

• Implementation: Regular meetings and updates between development and operations teams to review errors and implement preventive measures in the software development lifecycle.