getsentry/sentry

Features

• Application Performance Monitoring - Tracks runtime errors and performance bottlenecks across distributed systems to ensure software stability.
• Application Performance Monitoring Platforms - A centralized diagnostic service that tracks runtime errors and performance metrics across diverse software environments to ensure production stability.
• Incident Management Systems - A workflow integration layer that connects diagnostic data to external issue trackers and alerting services to automate incident response cycles.
• Observability Platforms - Provides custom querying, filtering, and distributed trace ingestion to maintain visibility across complex architectures.
• Distributed Tracing - Injects unique identifiers into request headers to link related operations across multiple services and asynchronous boundaries.
• Distributed Tracing - Analyzes complex software architectures by collecting and querying traces to maintain service health visibility.
• Distributed Tracing Systems - A data collection architecture that captures request lifecycles across microservices and backend systems to visualize complex execution paths and bottlenecks.
• Error Tracking Services - A diagnostic engine that aggregates and categorizes software exceptions to help development teams identify and resolve production issues efficiently.
• Frontend and Backend Observability - Instrument frontend and backend codebases to capture runtime errors and performance metrics across browsers, server-side runtimes, and distributed edge computing environments.
• Observability Suites - A comprehensive toolset for monitoring system health through logs, metrics, and traces to maintain visibility into modern distributed software architectures.
• Analytics Engines - Provides a columnar storage engine for rapid aggregation and filtering of large-scale performance metrics.
• Flutter - Collects error logs and performance data from mobile, web, and desktop software to ensure consistent stability.
• Analytics & Crash Reporting - Captures crash reports and performance data across mobile, desktop, and wearable devices to maintain stability.
• Dotnet Development Tools - Tracks errors and performance metrics within .NET environments by integrating diagnostic tools into the runtime execution flow.
• Crash Reporting and Binary Analysis - Process crash dumps and diagnostic data from low-level codebases to identify stability issues and performance regressions within compiled binaries and web assembly modules.
• Cross-Platform Diagnostic Tools - Maintain application health by tracking errors and performance across multiplatform projects to ensure consistent behavior on every target device and operating system.
• Web Application Error Tracking - Track request failures and application exceptions within web frameworks to gain visibility into production issues and maintain reliable service for your end users.
• Debuggers - Injects lightweight wrappers into application code to capture execution metrics and exceptions directly from the host environment.
• AI Monitoring - Tracks language model calls, token consumption, and tool executions to ensure reliable agent performance.
• DevOps and Infrastructure - Developer-first error tracking and performance monitoring.
• Distributed Tracing - Tracks and reports application errors in real-time.
• Infrastructure and Monitoring - Application monitoring platform focused on error reporting.
• Observability and Monitoring - Error tracking and performance monitoring for developers.
• Debugging - Platform for error logging and aggregation.
• Open Source Organizations - Open source error tracking and performance monitoring platform.
• Event Pipelines - Processes high-throughput data streams through a distributed queue system to normalize and route diagnostic events.
• Data Privacy Compliance - Scrubs private information from diagnostic streams to protect user privacy and meet security regulations.
• Execution Tracers - Maps raw memory addresses and minified code back to original source files using debug symbols and source maps.
• AI Coding Assistants - Provides plugins and specialized skills to help automated coding tools perform debugging and configuration tasks.
• Command Line Interfaces - Manages releases, debug symbols, and background tasks directly from the command line to streamline development workflows.
• Data Scrubbing - Filters incoming event payloads against privacy rules to redact sensitive information before persistence.
• Ruby Monitoring Tools - Observe errors and performance trends in web frameworks and background job processors to quickly identify and resolve issues affecting your production environment.
• Rust Monitoring Tools - Capture diagnostic information and performance traces in compiled services by utilizing native language features to monitor execution flow and identify potential system failures.
• Agent Skill Management - Declares and shares agent capabilities using package management tools to ensure consistent configurations across projects.
• Compliance Tools - Scrubs sensitive information from data streams to ensure compliance with industry security and data protection regulations.
• Plugin Architectures - Manages external service connectivity through a modular interface for event subscriptions and alerts.
• Language-Specific Monitoring - Provides automated error and performance tracking specifically for Go-based services.

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