Sentry

Application monitoring and error tracking software

4.9•88 reviews•

735 followers

Application monitoring and error tracking software

4.9•88 reviews•

735 followers

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Issue tracking software

•

Testing and QA software

Self-hosted and cloud-based application monitoring that helps software teams see clearer, solve quicker, & learn continuously.

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Sentry Launches

SentrySoftware errors are inevitable. Chaos is not.

Launched on April 22nd, 2020

Exception PerceptionsVideos, tutorials, and code examples on Observability

Launched on February 27th, 2018

SentryStop hoping your users will report errors

Launched on January 11th, 2018

The Monitor by SentryLearn monitoring best practices from leading engineers 🐛

Launched on December 13th, 2017

Sentry.ioStop hoping your users will report errors

Launched on June 6th, 2017

View all Sentry launches

4.9

Based on 88 reviews

Review Sentry?

Reviewers see Sentry as a strong fit for catching production errors fast and giving enough context to fix them: stack traces, breadcrumbs, release info, user impact, grouping, filtering, and broad integrations come up repeatedly. Users say it works well across frontend and backend and often surfaces issues before customers report them. Founders from Slashy, Greta, and GraphBit especially praise issue grouping, release visibility, and GitHub integration. The main drawback is noise: several users mention early alert fatigue, setup tuning, and source-map trouble.

+86

Summarized with AI

Pros

real-time error tracking (27)

seamless integrations (8)

performance monitoring (7)

detailed stack traces (6)

error alerts (5)

detailed diagnostics (3)

dashboard usability (2)

flexible setup (2)

Pros

Cons

Reviews

All Reviews

Most Informative

•9 reviews

What's great

real-time error tracking (27)detailed stack traces (6)error alerts (5)

We run Sentry on both frontend (Next.js) and backend (Fastify/Node). The moment something breaks in production — a failed match update, a broken PDF export, a crashed worker — we know before any user reports it, with the exact stack trace and user context. For a two-sided app handling real-time sports scheduling, that peace of mind is invaluable.

What needs improvement

Honestly, the alert fatigue can be real early on — you need to tune noise filters or you'll drown in minor warnings. Source maps setup also takes some care to get right (we disabled them for now to keep builds clean).

vs Alternatives

We evaluated Datadog and LogRocket, but both felt like overkill for our stage. Sentry does error monitoring, performance tracking, and alerting in one integration — no extra infra, no extra cost. It just works out of the box with Next.js and Node.

Ratings

Ease of use

Reliability

Value for money

Customization

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35 views4mo ago

•11 reviews

What's great

real-time error tracking (27)detailed stack traces (6)

It tells me which release broke it and which users hit it, which is the difference between an error log and something I can fix before anyone writes in. Breadcrumbs plus a source mapped stack trace usually gets me a reproduction on the first try instead of guessing from a screenshot, and for a small team that's most of the value.

What needs improvement

Out of the box it's noisy, and the first week is mostly tuning out browser extension errors and network blips before an alert means anything. That matters more than it sounds, because people stop reading alerts they've learned to ignore, which is worse than having none. Source maps also fail quietly on deploy, so the trace drops back to minified and nothing tells you until you're staring at it mid incident.

Ratings

Ease of use

Reliability

Value for money

Customization

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13 views1mo ago

We Are Learning

•6 reviews

At "We Are Learning," Sentry has been a cornerstone for real-time error monitoring, significantly enhancing our debugging efficiency and system stability. Its real-time error capture, coupled with rich contextual data, has enabled us to identify and resolve issues with remarkable speed and accuracy. The seamless integration with our existing tech stack, including Microsoft Azure, ensures that our DevOps and development teams receive immediate notifications for prompt action. However, one area for improvement could be the inclusion of machine learning algorithms to predict potential system failures based on error patterns, which would allow for more proactive issue resolution. Overall, despite this room for enhancement, Sentry remains a crucial tool in our arsenal for maintaining a high level of service reliability and operational excellence.

What's great

seamless integrations (8)real-time error tracking (27)

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43 views3yr ago

•9 reviews

What's great

real-time error tracking (27)detailed stack traces (6)error alerts (5)

What needs improvement

vs Alternatives

Ratings

Ease of use

Reliability

Value for money

Customization

Report

35 views4mo ago

•11 reviews

What's great

real-time error tracking (27)detailed stack traces (6)

What needs improvement

Ratings

Ease of use

Reliability

Value for money

Customization

Report

13 views1mo ago

We Are Learning

•6 reviews

What's great

seamless integrations (8)real-time error tracking (27)

Report

43 views3yr ago