Tool for monitoring page speed and Core Web Vitals. Helps improve website performance, optimize user experience, and boost Google rankings. Tracks and analyzes data, manages real user monitoring, and detects regressions.
Provides continuous tracking of website performance to improve user experience and SEO rankings.
Stores performance data over time to analyze trends and make data-backed decisions.
Helps optimize Google's Core Web Vitals to ensure a fast and smooth user experience.
Displays how resources are loaded over time to help identify any bottlenecks.
Live user tracking to assess real user experiences and identify performance problems as they occur in the real world.
Alerts users to changes that may affect website performance.
Offers the capability to integrate with existing tools and workflows to seamlessly monitor website performance.
Test for up to fifty viewers simultaneously, assessing load time performance and making it easier to identify performance bottlenecks under load.
Offers detailed error reports that include issues detected, scripts with errors, and helps pinpoint the exact line of code causing issues.
Provides integrated page speed metrics, giving insights into factors affecting page load times and helping improve site performance.
Supports testing for JavaScript-heavy single-page applications built with frameworks like React and Angular, enhancing compatibility with modern web applications.
Enables testing from different global locations, helping assess real-user performance impact by simulating different geographical locations.
Continuously checks website performance in real-time, offering regular updates and tracking changes to ensure ongoing performance optimization.
DebugBear provides synthetic monitoring features that allow you to test how your website performs with detailed reports on metrics like First Contentful Paint, Largest Contentful Paint, and Speed Index. You can analyze regression issues and get optimization recommendations.
DebugBear provides real user monitoring (RUM) to analyze the web vitals data experienced by real users. This helps identify important page speed issues by tracking metrics such as Interaction to Next Paint and Cumulative Layout Shift.
Measures the time it takes for the largest content element in the viewport to become visible.
Measures the time from when a user first interacts with a page, like clicking a link, to the time when the browser is able to respond to that interaction.
Measures visual stability, quantifying how much the page layout shifts during the entire lifespan of the page.
Replaces FID in 2024 and measures the time taken for the site's interactivity from when the user interacts with the page.
Allows you to edit the existing HTML of a page directly in the tool to test performance impacts.
Lets you input a different URL to analyze how changes on a different server or path affect performance.
Allows you to write and insert custom JavaScript into the page to test performance effects of script changes.
Enables you to remove elements, scripts, or styles from the page to evaluate how different removals impact performance.
Provides analysis and visualization tools to examine how the changes influenced performance metrics such as speed and resource loading.
Measures key performance metrics such as Largest Contentful Paint, First Input Delay, and Cumulative Layout Shift to assess the user experience quality.
Monitors the time it takes for the first text or image to appear on the screen, indicating an initial reaction to input.
Tracks the time from when the page starts loading until it's ready for user interaction, ensuring smooth operation.
Evaluates the overall speed and performance of a webpage using a combination of metrics.
Provides insights into the loading times of resources, helping to identify potential bottlenecks.
Analyzes the time taken to execute JavaScript, highlighting inefficiencies that might delay page readiness.
Allows for comparison over time to spot changes or regressions in web performance.
Monitor real user Core Web Vitals to understand page performance and user experience.
Provides insights on user interactions and time to next paint, helping to optimize responsiveness.
Helps identify and improve LCP times by providing detailed resource timing data.
Identifies periods of high CPU usage, showing where performance may be lagging due to scripts or other activities.
Compares speed metrics with user engagement to understand the impact of performance on user behavior.
Shows how site performance varies globally, helping tailor optimizations by region.
Allows you to see individual user sessions to analyze their specific interactions and experiences.
Monitors your website's frontend performance every few minutes to detect regressions and generate debugging profiles.
Tracks core metrics for Google Core Web Vitals to help with improving user page load experience.
Allows monitoring of your website from different global locations and devices.
Provides a detailed timeline of when the page was loaded, including what external requests contributed to loading times.
Uses Google’s Lighthouse audits to identify performance issues and assess site performance through metrics like Speed Index.
Delivers tailored performance optimizations that are specific to your site's performance issues.
Allows running of page speed experiments without deploying code and shows the impact of potential optimizations.
Provides alerts if there are noteworthy changes in your website speed performance.
Detects changes in speed by comparing snapshots and highlights the differences between pre and post regression states.
Continuously monitors and reports on Core Web Vitals metrics to help improve website performance related to Google ranking.
Checks Core Web Vitals errors in Google Search Console and suggests optimization steps to meet Google's 'Good' experience standards.
Uses Google Lighthouse to run lab tests and Chrome UX Report for real user metrics, providing a comprehensive overview of website performance.
Visualizes network requests and CPU activities to understand and optimize loading behavior of the website.
Records and allows playback of how a website renders on a mobile device, helping diagnose rendering issues frame by frame.
Offers recommendations for Core Web Vitals improvement and performance impact estimation based on current data.
Simulate slower network conditions to emulate real user behavior with high accuracy.
Send alerts to notify about performance issues based on real user data.
Run instant tests in development and integrate into Continuous Integration pipelines.
Access real user data from Chrome's User Experience Report.
Send notifications to Slack or Microsoft Teams.
Use API to scale testing and automatically set baselines for new pages.
Easily integrate with GitHub, Vercel, and Netlify for seamless workflow.
Tracks Core Web Vitals and provides insights to improve website SEO and user experience.
Creates comparison videos showing page speed changes before and after improvements.
Allows creation of shareable links for test results which can be shared with clients.
Generates in-depth reports and exports data as CSV for custom reporting needs.
Collects detailed site data to help optimize website speed.
Allows you to compare your site speed with competitors and improve rankings on search engines by having a faster website.
Provides tools to monitor page speed over time, allowing users to track improvements and adjustments to their site's performance.
Offers a free tool to test website performance metrics like speed and efficiency, and compare results with competitor sites.
Continuously track web vitals metrics from Google’s Chrome User Experience Report to check how your website is performing for real users.
In addition to the three Core Web Vitals, DebugBear tracks additional metrics like Time to First Byte and First Contentful Paint.
Track how often pages can be cached or preloaded based on navigation types.
Conduct regularly scheduled lab tests to detect issues before they affect real users.
Receive performance recommendations tailored to your website.
RUM data updates immediatly and provides URL-level reporting for high-traffic pages.
Identify delays in UI responses caused by scripts.
DebugBear provides a service that helps monitor website speed, ensuring pages load efficiently and meet web performance standards.
This feature monitors the website's performance using Google's Core Web Vitals metrics, which include loading performance, interactivity, and visual stability.
DebugBear provides Lighthouse scores, offering insights into how well a web page performs against international benchmarks.
The tool analyzes HTML documents to identify performance bottlenecks, such as Base64 encoded images that increase page size.
DebugBear integrates with Slack to send alerts related to technical SEO changes, making it easier to track performance impacts.
This feature allows users to monitor changes on staging sites, assessing potential impacts before implementing them on the live site.
Detects 404 errors in various pages by ensuring resources like PNG files are properly sent.
Alerts when invalid HTML changes are made, such as incorrect attributes added to elements.
Tracks changes that may impact performance, like adding large npm modules to bundles.
Simulated throttling in Lighthouse allows users to approximate network conditions with a throttling model. It is used to make the testing environment more consistent by mimicking slow network conditions and processing power.
Network throttling is done in Lighthouse using the DevTools protocol in a real browser or through simulated throttling which provides an emulated environment to predict how a page would load on a slower network.
Users can disable simulated throttling by adding '--throttling-method=devtools' to the Lighthouse command, allowing for testing in a real browser environment.
Simulated throttling can be disabled through Chrome DevTools settings by accessing the Performance panel and adjusting the throttling settings for more accurate data.
Access performance data from real Chrome users to understand how a website performs in real-world scenarios.
Use Google BigQuery to run SQL queries on the report data for custom analysis and insights.
View Chrome UX data directly in Google's PageSpeed Insights for comprehensive performance analysis.
Track key performance metrics such as Largest Contentful Paint, First Input Delay, and Cumulative Layout Shift.
Visualize changes in web performance over time with graphs displaying metric distributions.