Error Tracking

Comprehensive error tracking provides real-time visibility into application failures, exceptions, and issues across the Posters.science platform. This enables rapid issue identification, debugging, and resolution.

Error Tracking Stack

Primary Tool

• Sentry: Real-time error monitoring and alerting

Error Tracking Architecture

Error Categories

Frontend Errors

• JavaScript Exceptions: Runtime errors and exceptions
• Promise Rejections: Unhandled promise rejections
• Network Errors: API call failures and timeouts
• UI Errors: Component rendering and interaction errors

Backend Errors

• API Exceptions: Server-side error handling
• Database Errors: PostgreSQL connection and query errors
• External Service Errors: Third-party API failures
• Authentication Errors: User authentication and authorization issues

System Errors

• Infrastructure Errors: Server and container failures
• Service Errors: Microservice communication failures
• Resource Errors: Memory, CPU, and storage issues
• Configuration Errors: System configuration problems

Implementation

Frontend Error Tracking

// Example: Frontend error tracking setup
import * as Sentry from "@sentry/vue";

// Initialize Sentry
Sentry.init({
  dsn: process.env.SENTRY_DSN,
  environment: process.env.NODE_ENV,
  integrations: [new Sentry.BrowserTracing(), new Sentry.Replay()],
  tracesSampleRate: 0.1,
  replaysSessionSampleRate: 0.1,
  replaysOnErrorSampleRate: 1.0,
});

// Custom error handling
window.addEventListener("unhandledrejection", (event) => {
  Sentry.captureException(event.reason, {
    tags: {
      error_type: "unhandled_promise_rejection",
    },
    extra: {
      promise: event.promise,
      reason: event.reason,
    },
  });
});

Backend Error Tracking

// Example: Backend error tracking
import * as Sentry from "@sentry/node";

// Initialize Sentry
Sentry.init({
  dsn: process.env.SENTRY_DSN,
  environment: process.env.NODE_ENV,
  integrations: [
    new Sentry.Integrations.Http({ tracing: true }),
    new Sentry.Integrations.Express({ app }),
    new Sentry.Integrations.Postgres(),
  ],
  tracesSampleRate: 0.1,
});

// Error handling middleware
export default defineEventHandler(async (event) => {
  try {
    return await processRequest(event);
  } catch (error) {
    Sentry.captureException(error, {
      tags: {
        service: "posters-api",
        endpoint: event.url,
        method: event.method,
      },
      user: {
        id: getUserId(event),
        email: getUserEmail(event),
      },
      extra: {
        request_id: getRequestId(event),
        user_agent: getHeader(event, "user-agent"),
        ip_address: getClientIP(event),
      },
    });

    throw error;
  }
});

Custom Error Tracking

// Example: Custom error tracking
import { logger } from "@/utils/logger";

export class PosterProcessingError extends Error {
  constructor(
    message: string,
    public posterId: string,
    public processingStep: string
  ) {
    super(message);
    this.name = "PosterProcessingError";

    // Log to Sentry with custom context
    Sentry.captureException(this, {
      tags: {
        error_type: "poster_processing",
        processing_step: processingStep,
      },
      extra: {
        poster_id: posterId,
        processing_step: processingStep,
      },
    });
  }
}

Error Context

User Context

• User Information: User ID, email, role
• Session Data: Session ID, login time
• User Preferences: Settings and configurations
• User Actions: Recent user activities

Request Context

• Request Details: URL, method, headers
• Request Parameters: Query parameters, body data
• Request ID: Unique request identifier
• Timing Information: Request duration and timing

System Context

• Environment: Development, staging, production
• Version Information: Application and dependency versions
• Configuration: System configuration settings
• Resource Usage: CPU, memory, disk usage

Alerting and Notifications

Notification Channels

• Email Notifications: Critical error alerts
• Slack Integration: Team communication

Alert Examples

• High Error Rate: Error rate > 5% for 5 minutes
• New Error Type: Previously unseen error pattern
• Critical Error: Fatal errors or system failures
• Error Spike: Sudden increase in error frequency