Sentry Features
User Behavior (3)
Click Tracking
Tracks where users are clicking on a web page.
Mouse Movement
Tracks mouse movement over a web page.
Frustration Tracking
See where users experience the most difficulty on a web page.
A/B Testing (3)
Error and Bug Tracking
Tracks sessions where users encountered errors and bugs.
Data Analysis
Offers insights into relationships between user information and user behavior.
Notes
Leave notes on sessions and bugs.
Visitor Information (2)
User Identification
Collects user information (location, IP address, email, etc.).
Search Box
Search sessions by keywords or IP address.
Functionality (6)
Alerting
As reported in 11 Sentry reviews.
Generates alerts for whenever a website goes down, experiences an error, makes a major change, or other events.
Multi-Site Monitoring
Monitor multiple websites at once, organizing them with dashboards.
Reporting
As reported in 10 Sentry reviews.
Generate reports manually or automatically about website performance.
Multi-Channel Alerting
As reported in 10 Sentry reviews.
Alert over email, text, phone call, and more to multiple parties.
Dynamic Transaction Mapping
15 reviewers of Sentry have provided feedback on this feature.
Provides dynamic end-to-end maps of every single transaction.
Cloud Observability
This feature was mentioned in 14 Sentry reviews.
Monitors cloud microservices, containers, kubernetes, and other cloud native software.
Experience (2)
Real-Time Monitoring
Provides users with real-time information on how individuals are using accessibility accomodation tools to interact with the site or application.
Session Replay
Tracks application and infrastructure resource needs and alerts administrators or automatically scales usage to minimize waste.
Management (1)
Alerts
Alert over email, text, phone call, or more to multiple parties.
Performance (6)
Uptime Monitoring
Generates alerts for whenever a website or application goes down, experiences an error, makes a major change, or other events.
Performance Monitoring
Provides tools to track and measure application or website performance.
Issue Tracking
Track problems and manage resolutions related to end-user experience issues.
Resource Monitoring
Tracks infrastructure resource needs and alerts administrators or automatically scales usage to minimize waste.
Real User Monitoring (RUM)
Based on 18 Sentry reviews.
Captures and analyzes each transaction by users of a website or application in real time.
Second by Second Metrics
This feature was mentioned in 17 Sentry reviews.
Provides high-frequency metrics data.
Bug Reporting (3)
User Reports & Feedback
This feature was mentioned in 36 Sentry reviews.
Give users in-app method of reporting bugs and leaving general performance feedback.
Tester Reports & Feedback
35 reviewers of Sentry have provided feedback on this feature.
Give testers in-app method of reporting bugs and leaving general performance feedback.
Team Reports & Comments
This feature was mentioned in 40 Sentry reviews.
Give team members method of reporting bugs and leaving comments on bug status.
Bug Monitoring (3)
Analytics
41 reviewers of Sentry have provided feedback on this feature.
Provide reproducible, insightful info surrounding bug and crash scenarios.
Bug History
Based on 45 Sentry reviews.
Track history of bug status by application version, date, etc.
Data Retention
As reported in 41 Sentry reviews.
Store bug tracking data for an appropriate and useful amount of time.
Crash Monitoring (3)
Constant Monitoring
11 reviewers of Sentry have provided feedback on this feature.
Monitors crashes in real time.
Timely Alerts
This feature was mentioned in 12 Sentry reviews.
Alerts team members of crashes as soon as they occur.
User Reports and Feedback
Based on 11 Sentry reviews.
Grants users in-app method of reporting crashes and leaving feedback.
Crash Data (3)
Report Generation
This feature was mentioned in 11 Sentry reviews.
Generates comprehensive, informative reports on crash scenarios.
Crash Solutions
As reported in 11 Sentry reviews.
Provides helpful suggestions of possible solutions for crashes.
Analytics
This feature was mentioned in 11 Sentry reviews.
Provides transparent details surrounding crashes such as duration, range, and future impact.
Visibility (3)
Dashboards and Visualizations
16 reviewers of Sentry have provided feedback on this feature.
Presents information and analytics in a digestible, intuitive, and visually appealing way.
Alerts and Notifications
Based on 16 Sentry reviews.
Clearly notifies users with relevant information and anomalies in a timely manner.
Reporting
Based on 16 Sentry reviews.
Creates reports outlining log activity and relevant metrics.
Monitoring and Management (2)
Performance Baseline
Based on 15 Sentry reviews.
Sets a standard performance baseline by which to compare log activity.
Real-Time Monitoring
This feature was mentioned in 14 Sentry reviews.
Constantly monitors logs to detect anomalies in real time.
Data Preparation (4)
Data Sources
Automatically collect logs from all your services, applications, and platforms
Indexing
Automate the indexing of machine data that's critical to your operations
Automated Tagging
See log data in context with automated tagging and correlation
Data Blending
Mix and match data from apps, hosts, containers, services, networks, and more
Analysis (6)
Track Trends
Allows user to track log trends.
Detect Anomalies
Identify and predict anomalies in real-time with outlier detection and uncover root-causes
Metric and Event Data
Analyze both metric and event data on the same platform regardless of source or structure
Search
Search your logs for troubleshooting and open-ended exploration of your data
Alerts
Create alerts based on search patterns, thresholds for specific log metrics, or other conditions
Live Tail
See your data, in real time, streaming into the system from multiple data sources
Visualization (2)
Dashboards
Visualize log data on dashboards
Data Discovery
Drill down and explore data to discover new insights
Monitoring (5)
Performance Baselines
24 reviewers of Sentry have provided feedback on this feature.
Performance Analysis
As reported in 25 Sentry reviews.
Performance Monitoring
Based on 27 Sentry reviews.
AI/ML Assistance
This feature was mentioned in 17 Sentry reviews.
Multi-System Monitoring
Based on 20 Sentry reviews.
Response (3)
Dashboards and Visualization
This feature was mentioned in 23 Sentry reviews.
Incident Alerting
This feature was mentioned in 24 Sentry reviews.
Root Cause Analysis (RCA)
As reported in 19 Sentry reviews.
Telemetry Collection & Ingestion - Observability (2)
Multi-Telemetry Ingestion
Ingests and processes multiple telemetry types, such as logs, metrics, and traces.
OpenTelemetry Support
Supports ingestion and standardization of observability data via OpenTelemetry protocol.
Visualization & Dashboards - Observability (2)
Unified Dashboard
Provides a consolidated view of system-wide telemetry in a single dashboard.
Trace Visualization
Allows users to explore and visualize distributed traces and span relationships.
Correlation & Root Cause Analysis - Observability (3)
Cross-Telemetry Correlation
Correlates logs, metrics, and traces to surface performance patterns and root causes.
Root Cause Detection
Identifies likely causes of issues using system insights and correlation logic.
Intelligent Alerting
Automatically alerts users to anomalies or critical events using contextual data.
Scalability & Ecosystem Integration - Observability (2)
Kubernetes Monitoring
Provides observability into containerized workloads and Kubernetes clusters.
Hybrid/Multi-Cloud Support
Enables observability across public cloud, private cloud, and on-prem environments.
AI Features - Observability (2)
AI-Generated Incident Summaries
Summarizes incident root causes and potential fixes using generative AI.
AI Anomaly Detection
Uses machine learning to detect unusual behavior across telemetry data.
Agentic AI - Session Replay (1)
Cross-system Integration
Works across multiple software systems or databases
Agentic AI - Bug Tracking (3)
Adaptive Learning
Improves performance based on feedback and experience
Natural Language Interaction
Engages in human-like conversation for task delegation
Proactive Assistance
Anticipates needs and offers suggestions without prompting
Agentic AI - Application Performance Monitoring (APM) (5)
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Cross-system Integration
Works across multiple software systems or databases
Adaptive Learning
Improves performance based on feedback and experience
Proactive Assistance
Anticipates needs and offers suggestions without prompting
Decision Making
Makes informed choices based on available data and objectives
Agentic AI - Log Analysis (7)
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Multi-step Planning
Ability to break down and plan multi-step processes
Cross-system Integration
Works across multiple software systems or databases
Adaptive Learning
Improves performance based on feedback and experience
Natural Language Interaction
Engages in human-like conversation for task delegation
Proactive Assistance
Anticipates needs and offers suggestions without prompting
Decision Making
Makes informed choices based on available data and objectives
Agentic AI - Website Monitoring (7)
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Multi-step Planning
Ability to break down and plan multi-step processes
Cross-system Integration
Works across multiple software systems or databases
Adaptive Learning
Improves performance based on feedback and experience
Natural Language Interaction
Engages in human-like conversation for task delegation
Proactive Assistance
Anticipates needs and offers suggestions without prompting
Decision Making
Makes informed choices based on available data and objectives
Agentic AI - Log Monitoring (7)
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Multi-step Planning
Ability to break down and plan multi-step processes
Cross-system Integration
Works across multiple software systems or databases
Adaptive Learning
Improves performance based on feedback and experience
Natural Language Interaction
Engages in human-like conversation for task delegation
Proactive Assistance
Anticipates needs and offers suggestions without prompting
Decision Making
Makes informed choices based on available data and objectives
Agentic AI - Digital Experience Monitoring (DEM) (7)
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Multi-step Planning
Ability to break down and plan multi-step processes
Cross-system Integration
Works across multiple software systems or databases
Adaptive Learning
Improves performance based on feedback and experience
Natural Language Interaction
Engages in human-like conversation for task delegation
Proactive Assistance
Anticipates needs and offers suggestions without prompting
Decision Making
Makes informed choices based on available data and objectives
Agentic AI - Observability Software (7)
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Multi-step Planning
Ability to break down and plan multi-step processes
Cross-system Integration
Works across multiple software systems or databases
Adaptive Learning
Improves performance based on feedback and experience
Natural Language Interaction
Engages in human-like conversation for task delegation
Proactive Assistance
Anticipates needs and offers suggestions without prompting
Decision Making
Makes informed choices based on available data and objectives
