// Scale
Error Tracking & Logging
Errors in production are inevitable. Errors that go undetected for days are preventable. We implement error tracking and structured logging that surfaces issues immediately — with full context for fast diagnosis.
// Key benefits
What makes this service valuable
Sentry error tracking
Full error capture with stack traces, user context, request data, and breadcrumbs — everything needed to reproduce and fix an error without user support tickets.
Structured logging
JSON-structured logs with consistent fields (trace ID, user ID, request ID) that are aggregable, searchable, and useful for debugging — not free-text logs that require grep.
Log aggregation
CloudWatch Logs, Datadog Logs, or ELK stack — centralised log aggregation with retention policies, search capability, and anomaly detection.
// Details
Know about errors before your users do
Error tracking configured correctly alerts you to new errors the moment they occur — not when users start tweeting. We set up error tracking with appropriate grouping, alert thresholds, and team assignment.
Structured logging is the foundation of good debugging. We implement consistent log format, appropriate log levels, and correlation IDs that make it possible to trace a request through your entire system.
// What this includes
- Sentry setup and SDK integration
- Error alert configuration
- Structured logging implementation
- Log aggregation setup
- Trace ID correlation across services
- Log retention and archival policy
- Error triage and assignment workflow
// Deliverables
What you receive
Every engagement produces clear, documented deliverables. Here is exactly what is included in our error tracking & logging service.
- 01Sentry project setup and SDK integration
- 02Error alert rules and escalation
- 03Structured logging implementation
- 04Log aggregation configuration
- 05Correlation ID implementation
- 06Log retention policy
// FAQ
Common questions about error tracking & logging
Should we use Sentry or Datadog for error tracking?+
Sentry is purpose-built for error tracking with excellent source map support, issue grouping, and release tracking — the best tool for error-specific monitoring. Datadog error tracking is appropriate when you are already using Datadog for APM and want unified observability.
Ready to get started with error tracking & logging?
Share your requirements with our team. We respond within one business day with a clear plan from discovery to delivery.