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Sentry
Application error tracking and performance monitoring platform with self-hosted option.
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About Sentry
Sentry is an application monitoring platform that captures errors, exceptions, and performance issues in real time. It supports virtually every programming language and framework: PHP, JavaScript, Python, Ruby, Java, Go, .NET, React, Vue, Angular, Laravel, Django, and many more.
When an error occurs in a web application, Sentry captures the full context: stack trace, request data, user information, browser details, and breadcrumbs (the sequence of events leading up to the error). This context makes debugging dramatically faster compared to searching through log files. Errors are grouped by root cause (issue fingerprinting), so a single bug appearing 10,000 times shows up as one issue, not 10,000 individual alerts.
Performance monitoring tracks transaction durations, database query times, HTTP request latencies, and other performance metrics. Slow transactions are identified with full trace details showing exactly where time is being spent. This helps developers identify and fix performance bottlenecks in production.
Sentry can be used as a SaaS service (sentry.io) or self-hosted on your own infrastructure using the official Docker Compose deployment. The self-hosted option runs on a single server (minimum 4 CPU cores, 8GB RAM) and provides the full feature set with no limits on events or users.
For hosting providers, self-hosted Sentry is useful as an internal tool for monitoring the hosting platform's own applications (billing system, provisioning tools, customer portals). Some providers also offer managed Sentry hosting to developer customers who want error tracking without using the SaaS service.
The release tracking feature ties errors to specific code deployments, making it easy to identify which release introduced a bug. Integration with GitHub, GitLab, and Jira connects errors to source code and issue tracking workflows.
When an error occurs in a web application, Sentry captures the full context: stack trace, request data, user information, browser details, and breadcrumbs (the sequence of events leading up to the error). This context makes debugging dramatically faster compared to searching through log files. Errors are grouped by root cause (issue fingerprinting), so a single bug appearing 10,000 times shows up as one issue, not 10,000 individual alerts.
Performance monitoring tracks transaction durations, database query times, HTTP request latencies, and other performance metrics. Slow transactions are identified with full trace details showing exactly where time is being spent. This helps developers identify and fix performance bottlenecks in production.
Sentry can be used as a SaaS service (sentry.io) or self-hosted on your own infrastructure using the official Docker Compose deployment. The self-hosted option runs on a single server (minimum 4 CPU cores, 8GB RAM) and provides the full feature set with no limits on events or users.
For hosting providers, self-hosted Sentry is useful as an internal tool for monitoring the hosting platform's own applications (billing system, provisioning tools, customer portals). Some providers also offer managed Sentry hosting to developer customers who want error tracking without using the SaaS service.
The release tracking feature ties errors to specific code deployments, making it easy to identify which release introduced a bug. Integration with GitHub, GitLab, and Jira connects errors to source code and issue tracking workflows.
Monitoring
Development Tools
Quick Facts
- Pricing
- Freemium
- License
- Open Source
- Platform
- Linux & Windows
- Version
- 24.11
- Developer
- Functional Software, Inc. (Sentry)
- Starting Price
- $0.00
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