8 Best Error Tracking Tools: Sentry and Alternatives

When a website or app breaks, a useful error report can show what happened and which release introduced it. This guide is for solo developers and small teams who want fewer vague bug reports and a clearer route from alert to fix.

The options range from focused exception tracking to broader observability, which also examines performance and user sessions. Free access and retention limits vary, so confirm the current terms before routing production data.

Quick picks

• Best overall: Sentry — broad framework support and detailed issue context.
• Best for straightforward alerts: Honeybadger — errors, uptime checks, and background jobs together.
• Best open source: GlitchTip — self-hosting with compatibility for Sentry clients.
• Best for session context: Highlight — links errors with replay and application traces.

How we picked

We looked for established services that help a developer move from an alert to a reproducible problem, without assuming a large operations team. Consider the practical differences:

• Coverage: errors, crashes, performance, or uptime monitoring.
• Context: stack traces, release details, and user-session clues.
• Setup: language support and clarity of integration documentation.
• Control: hosted service versus the work of running it yourself.
• Cost: event limits, retention, and what happens when usage rises.

Focused error trackers

1. Sentry

Sentry groups exceptions into issues and attaches stack traces, release information, and breadcrumbs that help explain the actions leading up to a failure. It suits web and mobile teams that want error monitoring now and the option to add performance features later. Its wide feature set can take time to configure, and noisy events need tuning; it offers a free plan with paid upgrades.

Best for: teams that need broad framework coverage and room to add performance monitoring.

2. Bugsnag

Bugsnag focuses on application stability, with error reports and release health features that help teams see whether a new build is causing trouble. Mobile developers can use its crash reporting to prioritise issues affecting users, rather than treating every event equally. The trade-off is that its full value depends on integrating release and deployment details; it has a free plan with paid upgrades.

Best for: mobile teams checking whether each release improves stability.

3. Rollbar

Rollbar captures errors across application environments and can connect them with deployment activity, helping developers spot a regression soon after shipping. Its grouping and alerting reduce the need to scan raw logs for familiar failures. Teams with complex routing or large event volumes will need to spend time tuning notifications and reviewing plan limits; a free plan with paid upgrades is available.

Best for: developers who want errors connected closely to deployment events.

4. Airbrake

Airbrake collects exceptions and performance data, with dashboards intended to help a team understand which problems affect an application most. It can be a practical fit for established web projects that value a focused monitoring service instead of assembling every signal themselves. The interface and available integrations may feel less tailored to a very new stack, so check language support first; it offers paid plans and trial availability may vary.

Best for: small product teams wanting a dedicated error inbox with performance context.

Broader context and self-hosting

5. Honeybadger

Honeybadger combines exception tracking with uptime monitoring and checks for background jobs, so a small site can keep several basic health signals in one place. Its focused alerts suit freelancers who need to notice a broken endpoint or delayed task without building a large observability stack. It is less expansive than platforms centred on analytics and replay; it has a free plan with paid upgrades.

Best for: independent developers monitoring a web app and its scheduled work.

6. Highlight

Highlight brings error tracking together with session replay and tracing, giving developers a way to inspect what a user did around an issue. That joined-up view can shorten debugging when a stack trace alone does not explain a confusing interface failure. It includes more concepts to configure than a simple exception inbox, and session capture requires careful privacy choices; the project is open source and hosted options are available.

Best for: product teams that need user-session clues alongside errors.

7. GlitchTip

GlitchTip is an open-source monitoring service designed to work with Sentry-compatible SDKs, making it a possible home for teams seeking a self-hosted alternative. Running it on your own infrastructure can offer control over data location and operational decisions. That control comes with maintenance, upgrades, backups, and capacity planning that a hosted service handles; it is open source, with hosted service options to check.

Best for: technically comfortable teams that want to host compatible error tracking themselves.

8. Elastic Observability

Elastic Observability connects application monitoring with Elastic's wider search and log analysis capabilities. It can make sense for organisations already using Elastic, since developers may investigate application traces and related logs in a familiar environment. For a small project, the wider platform can be more to learn and operate than needed; Elastic offers a free tier and paid cloud or self-managed options.

Best for: teams already using Elastic to search and analyse operational data.

How to choose the right one

Start by deciding whether you need exception alerts alone or also performance, replay, uptime, and log search. A small client site may benefit most from a readable stack trace and an email alert; an app with frequent releases may need release health and deployment markers. Check that your language and framework have maintained integrations before spending time on setup.

Then inspect what the service records. User identifiers, request details, and session recordings can contain sensitive information, so review masking and retention controls before enabling capture. Also decide who should receive an alert and what severity warrants waking someone up; sending every low-impact event to the whole team quickly teaches people to ignore notifications. Keep a short note of the setup steps and ownership so the next person can maintain it. Test alert volume using a non-critical project, and understand event limits and data export options. If timestamps in exported logs are confusing, Stockio’s Unix timestamp converter can translate Unix time values into readable dates. For wider infrastructure planning, browse Stockio development resources and DevOps articles, or explore the resources library.

Key takeaways

• Pick the signals you will act on: exception tracking is not the same as full observability.
• Check framework support and release integration before choosing a service.
• Review privacy controls before capturing user details or session replays.
• Self-hosting provides control but makes upgrades and uptime your responsibility.
• Recheck event limits and costs before routing a busy production application.