Why do I need error tracking if I have logs?

Logs require manual searching and lack context. Error tracking automatically captures exceptions with stack traces, user info, and session data. It groups similar errors, shows frequency, and alerts you. Much faster than log diving.

Sentry, LogRocket, or Bugsnag?

Sentry is the most popular, with excellent language support and generous free tier. LogRocket adds session replay to see exactly what users did. Bugsnag is solid with good mobile support. Sentry is the default choice for most startups.

How does error tracking work?

Install a small SDK in your application. When exceptions occur, the SDK captures the error, stack trace, user context, and browser/device info, then sends it to the service. You see errors in a dashboard with full context.

Yes, Sentry's Developer tier is free for up to 5,000 errors per month. That's plenty for early-stage startups. Team plans start at $26/month with higher limits and more features.

What context should I capture with errors?

User ID, email, current page, recent actions, and custom tags relevant to your app. The more context, the easier debugging. Just don't capture sensitive data like passwords or payment info.

How do I avoid alert fatigue?

Configure alerts for new or regressed errors only, not every occurrence. Set thresholds—alert if error rate spikes. Group similar errors. Prioritize by user impact. Too many alerts means important ones get ignored.

What is error grouping?

Error tracking services group similar errors together—same exception, same stack trace. You see one issue with many occurrences rather than thousands of individual errors. Essential for understanding actual bug count.

How do I track errors in mobile apps?

Same concept, mobile SDKs. Sentry, Bugsnag, and Firebase Crashlytics all support iOS and Android. Capture crashes and exceptions with device info, OS version, and app version for debugging.

What about frontend JavaScript errors?

Install the JavaScript SDK to catch uncaught exceptions and promise rejections. Source maps let you see original code in stack traces instead of minified code. Essential for debugging production frontend issues.

How do I connect errors to deployments?

Most services support releases—tag errors with version numbers. You can see if a new deployment introduced errors and when errors were fixed. Sentry integrates with GitHub to link commits to releases.

Should I track all errors or filter some?

Track all errors initially to understand your baseline. Filter out noise over time: network errors from flaky connections, errors from bots, known third-party issues. But be careful not to hide real problems.

How do I prioritize which errors to fix?

Look at frequency (how often), recency (is it new), and user impact (who is affected). Fix high-frequency errors affecting many users first. New errors in recent releases need quick attention.

What is session replay?

Recording what users see and do—clicks, scrolls, form inputs—so you can replay their session when errors occur. LogRocket and Sentry offer this. Incredibly useful for "I can't reproduce it" bugs.

How much data do error trackers store?

Events are stored for 30-90 days typically, depending on plan. Key metrics and trends are retained longer. For compliance or debugging old issues, you may need to export data or upgrade plans.

Can I track custom events, not just errors?

Yes, most services support custom events and performance transactions. Track business-critical flows, API latency, or custom metrics alongside errors. Useful for understanding system health holistically.

How do I handle sensitive user data?

Configure data scrubbing to remove PII before sending. Sentry can redact passwords, credit cards, and custom patterns. Review what you capture and comply with your privacy policy.

What is a breadcrumb trail?

A log of events leading up to an error: page navigations, clicks, API calls. Like a trail of breadcrumbs showing the user's path. Invaluable for understanding how users reached an error state.

How do I integrate with my issue tracker?

Sentry, Bugsnag, and others integrate with GitHub, Jira, and Linear. Create issues directly from errors, link to existing issues, and track when fixes are deployed. Keeps error tracking connected to your workflow.

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Solution illustration for I need to track and fix errors in my application

Important

Best Error Tracking & Bug Monitoring Tools for Startups

Catch bugs before your users catch you.

30 min - 1 hour

Technical

About This Problem

Users encounter errors you never see during development. Error tracking captures production issues with full context—stack traces, user actions, and environment details—so you can fix bugs before users complain.

You might have this problem if:

✓Users reporting bugs you can't reproduce
✓No visibility into production errors
✓Checking logs manually to find issues
✓Not sure which errors are most impactful
✓Spending hours debugging without context

Success Looks Like

Error tracking installed in production
Alerts configured for new errors
Error volume decreasing over time

Relevant For

launch stagegrowth stagescale stage

Error tracking for your startup gives you visibility into the bugs your users actually encounter in production. Without it, you are relying on user reports and guesswork. The best error tracking tools capture stack traces, user context, and environment details so you can reproduce and fix issues fast. Compare the top platforms with real-time alerting, release tracking, and integrations with the tools your dev team already uses.