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Real User Monitoring

Ember Error and Performance Monitoring

Get complete visibility into your Ember errors and performance issues that are impacting your end user experience. Fix critical issues sooner with in depth data points that helps you in analyzing and resolving issues with great speed.

Ember Error and Performance Monitoring
Challenges

Master Ember Glimmer rendering and routable component performance in enterprise SPAs

Full Ember route transition profiling

Track Ember router transitions, model hooks, and controller lifecycle timing to identify slow Ember.js single page application navigation.

Glimmer component render waterfalls

Monitor template compilation, Glimmer VM execution, and tracked property updates during real user interactions.

Ember Data request pipelines

Measure adapter serialization, model normalization, and relationship loading across production Ember Data workloads.

Ember runtime exception capture

Catch Glimmer assertion failures, route hook errors, and modifier exceptions with full template/component stack traces.

Routable component responsiveness

Detect delayed outlet rendering, loading substates, and error substates affecting Ember user experience.

Ember Inspector correlation

Link user sessions to Ember Inspector data—route hierarchy, component trees, and service injections.

Octane tracking performance

Analyze @tracked properties, actions, and modifiers under Ember Octane conventions across browsers.

Ember addon optimization

Validate ember-cli addon performance, broccoli pipeline efficiency, and fastboot SSR timing in production.

Rendering and Run Loop Execution

  • Measure component render frequency during real user interactions and correlate execution cost with actual DOM update latency to understand rendering performance.
  • Analyze Ember run loop scheduling phases and execution timing in detail to identify bottlenecks contributing to delayed rendering.
  • Identify repeated re-renders triggered by tracked state changes that do not produce meaningful UI updates, creating unnecessary processing overhead.
  • Detect propagation of updates across deep component hierarchies that causes redundant rendering cycles and UI instability.
Rendering and Run Loop Execution

Data Binding and State Update Execution

  • Measure latency between tracked property changes and the resulting UI rendering updates across complex user workflows to understand state-to-UI propagation speed.
  • Identify observers and computed properties that continue triggering repeated updates even after application state has stabilized, creating unnecessary processing overhead.
  • Analyze state propagation across routes, controllers, services, and components in detail to surface inefficient update chains and cascading re-render patterns.
  • Detect redundant data updates, circular bindings, and over-synchronization that negatively affect rendering performance and interaction responsiveness.
Data Binding and State Update Execution

Asynchronous and Task Execution

  • Track asynchronous execution from API requests, Ember Concurrency tasks, background sync operations, and scheduled workflows.
  • Measure the delay between async task completion and subsequent UI update execution to detect slow response paths.
  • Identify concurrent tasks that compete for main thread time, block rendering, and delay interaction readiness.
  • Correlate async execution timing with navigation latency, perceived performance, and visual stability.
Asynchronous and Task Execution

Routing and Transition Execution

  • Break down route transition timing across model hooks, setup phases, data fetching, and final component rendering.
  • Identify blocking operations during route initialization such as heavy computations or synchronous logic that delay UI updates.
  • Measure lazy loading behavior and data fetch latency across different devices, browsers, and network conditions.
  • Correlate navigation execution timing with workflow interruption, slow transitions, and interaction delays.
Routing and Transition Execution
Why Atatus

Why Choose Atatus for Ember RUM?

Optimize Ember.js Glimmer performance, route transitions, and Octane patterns without addon complexity

01

Built for Ember Glimmer engine

Native Glimmer VM tracing, tracked property monitoring, and template render optimization insights.

02

Ember Octane diagnostics

Route transition waterfalls, Ember Data normalization traces, and Glimmer assertion analysis.

03

Zero-config ember-cli integration

Automatic instrumentation for ember-cli apps, FastBoot SSR, and ember-data adapters—no build pipeline changes.

04

Ember-specific Core Web Vitals

LCP/INP/CLS metrics attributed to route model resolution, Glimmer renders, and outlet transitions.

05

Enterprise Ember scaling

Battle-tested for large Ember.js applications with complex nested routes and ember-data relationships.

06

Ember growth pricing

Predictable costs scale with Ember user sessions—no ember-addon development or migration overhead.

Teams

Unified Observability for Every Engineering Team

Atatus adapts to how engineering teams work across development, operations, and reliability.

Supported frameworks

Atatus supports major frontend frameworks seamlessly

FAQ

Frequently Asked Questions

Pricing, deployment, data and the agent. If something is missing, a person will answer it on a demo call.

Talk to an engineer
  • Ember performance monitoring collects in-depth metrics on each user-interaction and analyzes everything from page load events to HTTP requests to front-end application crashes.

    Monitoring Ember apps helps you to pinpoint Ember issues, measure user experience with the key metrics provided and fix them as soon as possible.

  • In real-time monitoring, a small piece of code is injected into the application to collect metrics while it is in use.

    The browser-based applications can be monitored by injecting a JavaScript code which tracks and detects the front-end performance issues along with the XHR requests.

    It also provides you with in-depth front-end metrics which helps you in resolving the issues at a faster rate.

  • Atatus Real User Monitoring supports front-end frameworks such as JavaScript, AngularJS, Angular, React, Backbone, Ember, Vue, Ionic, Ionic2+ and Meteor.

    Also, you can embed the JavaScript snippet in a web page inside the tag and monitor.

  • Yes, we collect the IP address of the browser client used by the user, which will be displayed in the users' information along with the page views, load time, error count and last seen of the user, respectively.

  • Yes, we do collect core web vitals metrics such as:

    • First Contentful Paint (FCP)
    • Last Contentful Paint (LCP)
    • First Input Delay (FID)
    • Cumulative Layout Shift (CLS)
    • Time To First Byte (TTFB)
  • As part of Atatus Browser Monitoring, we have a Single Page Application (SPA) Monitoring feature that gives a 360-degree view of what customers are doing with single-page apps and AJAX-based apps.

  • The benefits of real-time monitoring of users are substantial.

    • It provides actual end-user experiences
    • Easily track high value pages
    • RUM metrics can ‌determine whether service level agreements (SLAs) are being met, and to determine how users interact with an application and how developers can simplify the user interface.
  • Compared to all other browser monitoring tools Atatus offers affordable pricing plans. Collaboration requires in any monitoring tool so we do not limit your capabilities by charging per user.

    We collect all the data points including Spans and Traces that are necessary for you without the need for you to select which to retain. With this you can easily monitor your entire application.

  • Rather than stop collecting the front-end performance metrics, our sales team will contact you to discuss the requirements.

Get started

See the root cause first.

Start free and send your first trace with OpenTelemetry or the Atatus agents. APM, logs, RUM, infrastructure and SIEM, all on one timeline.

  • SaaS
  • On-premises
  • Hybrid
  • BYOC
  • No per-user pricing