Sentry Features

Tracks where users are clicking on a web page.

Tracks mouse movement over a web page.

See where users experience the most difficulty on a web page.

Tracks sessions where users encountered errors and bugs.

Offers insights into relationships between user information and user behavior.

Leave notes on sessions and bugs.

Collects user information (location, IP address, email, etc.).

Search sessions by keywords or IP address.

Generates alerts for whenever a website goes down, experiences an error, makes a major change, or other events.

Monitor multiple websites at once, organizing them with dashboards.

Generate reports manually or automatically about website performance.

Alert over email, text, phone call, and more to multiple parties.

Provides dynamic end-to-end maps of every single transaction.

Monitors cloud microservices, containers, kubernetes, and other cloud native software.

Provides users with real-time information on how individuals are using accessibility accomodation tools to interact with the site or application.

Tracks application and infrastructure resource needs and alerts administrators or automatically scales usage to minimize waste.

Alert over email, text, phone call, or more to multiple parties.

Generates alerts for whenever a website or application goes down, experiences an error, makes a major change, or other events.

Provides tools to track and measure application or website performance.

Track problems and manage resolutions related to end-user experience issues.

Tracks infrastructure resource needs and alerts administrators or automatically scales usage to minimize waste.

Captures and analyzes each transaction by users of a website or application in real time.

Provides high-frequency metrics data.

Give users in-app method of reporting bugs and leaving general performance feedback.

Give testers in-app method of reporting bugs and leaving general performance feedback.

Give team members method of reporting bugs and leaving comments on bug status.

Provide reproducible, insightful info surrounding bug and crash scenarios.

Track history of bug status by application version, date, etc.

Store bug tracking data for an appropriate and useful amount of time.

Monitors crashes in real time.

Alerts team members of crashes as soon as they occur.

Grants users in-app method of reporting crashes and leaving feedback.

Generates comprehensive, informative reports on crash scenarios.

Provides helpful suggestions of possible solutions for crashes.

Provides transparent details surrounding crashes such as duration, range, and future impact.

Presents information and analytics in a digestible, intuitive, and visually appealing way.

Clearly notifies users with relevant information and anomalies in a timely manner.

Creates reports outlining log activity and relevant metrics.

Sets a standard performance baseline by which to compare log activity.

Constantly monitors logs to detect anomalies in real time.

Automatically collect logs from all your services, applications, and platforms

Automate the indexing of machine data that's critical to your operations

See log data in context with automated tagging and correlation

Mix and match data from apps, hosts, containers, services, networks, and more

Allows user to track log trends.

Identify and predict anomalies in real-time with outlier detection and uncover root-causes

Analyze both metric and event data on the same platform regardless of source or structure

Search your logs for troubleshooting and open-ended exploration of your data

Create alerts based on search patterns, thresholds for specific log metrics, or other conditions

See your data, in real time, streaming into the system from multiple data sources

Visualize log data on dashboards

Drill down and explore data to discover new insights

Ingests and processes multiple telemetry types, such as logs, metrics, and traces.

Supports ingestion and standardization of observability data via OpenTelemetry protocol.

Provides a consolidated view of system-wide telemetry in a single dashboard.

Allows users to explore and visualize distributed traces and span relationships.

Correlates logs, metrics, and traces to surface performance patterns and root causes.

Identifies likely causes of issues using system insights and correlation logic.

Automatically alerts users to anomalies or critical events using contextual data.

Provides observability into containerized workloads and Kubernetes clusters.

Enables observability across public cloud, private cloud, and on-prem environments.

Summarizes incident root causes and potential fixes using generative AI.

Uses machine learning to detect unusual behavior across telemetry data.

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Capability to perform complex tasks without constant human input

Works across multiple software systems or databases

Improves performance based on feedback and experience

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives