Request Lifecycle Ambiguity
Request handling can diverge based on routing rules, filters, and execution conditions, making it difficult to confirm how requests actually progressed under live traffic.
Beego Error and Performance Monitoring
Get complete visibility into your Beego 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.
Challenges
Where Beego production insight breaks
Incomplete Runtime Context
When failures occur, critical execution details are missing, forcing engineers to infer request state, timing, and runtime conditions after the incident.
Slow Fault Isolation
Errors surface late in the execution chain, increasing the time required to locate the original fault within layered request handling.
Hidden Data Path Latency
Database interactions vary based on query patterns and connection behavior, making it hard to associate slowdowns with specific execution paths.
Dependency Visibility Gaps
Internal services and external systems degrade independently, often remaining invisible until their impact compounds across the application.
Noisy Error Signals
Error notifications lack execution context, pushing teams to investigate symptoms before identifying the underlying cause.
Unclear Concurrency Effects
Goroutine scheduling and parallel execution introduce runtime behavior changes that teams cannot easily observe in real time.
Declining Operational Confidence
Repeated investigations without clear answers reduce trust in production understanding, slowing response during high-impact incidents.
Key Features
Complete Performance Visibility for Beego Applications
Real-time observability for Beego workloads that helps teams trace request performance, optimize handler execution, and resolve production issues faster.
End-to-End Request Timing
Track the full lifecycle of every request from entry to response. Quickly identify latency introduced across handlers, services, and dependencies.
Response Timing
Monitor reponse time, throughput and http failure rate in real time. Eliminate inefficient queries slowing application responses.
External Call Latency
Track response times for third-party APIs and external services. Identify slow dependencies before they impact user experience.
Handler Execution Weight with Host Resource Metrics
Measure handler processing cost while monitoring CPU and memory usage. Understand how application logic and infrastructure affect performance together.
Why Atatus
Why Beego teams standardize on Atatus
As Beego systems evolve, maintaining production understanding becomes harder than maintaining performance. Teams standardize on Atatus to preserve execution clarity as traffic, concurrency, and service boundaries increase, enabling confident decisions under pressure.
01
Coherent Execution Understanding
Engineers retain a clear picture of how requests behave in production without reconstructing control flow from scattered signals.
02
Rapid Team Alignment
New and existing engineers reach shared production understanding quickly, reducing reliance on handovers or undocumented knowledge.
03
Immediate Signal Trust
Teams trust runtime data early in investigations, allowing faster action without second-guessing signal accuracy.
04
Lower Debugging Overhead
Investigation effort drops as engineers spend less time correlating components and more time validating root causes.
05
Predictable Incident Response
Incident handling follows repeatable patterns, even as system complexity and traffic increase.
06
Shared Operational Reality
Platform, SRE, and backend teams operate from the same execution evidence during incidents and reviews.
07
Stability Under Load
Production understanding remains reliable as concurrency and throughput rise, preventing new blind spots from emerging.
08
Reduced On-Call Strain
Clear runtime insight shortens incident duration and reduces escalation loops during on-call rotations.
09
Long-Term System Confidence
Teams continue scaling and refactoring with confidence, knowing production behavior will remain observable.
Teams
Unified Observability for Every Engineering Team
Atatus adapts to how engineering teams work across development, operations, and reliability.
Developers
Debug errors and slow paths with the full context of what happened.
Atatus for developersDevOps
Track deployments and see how each release affects stability.
Atatus for DevOpsRelease engineers
Watch latency and error rates to ship with less production risk.
Atatus for release engineers
FAQ
Frequently Asked Questions
Pricing, deployment, data and the agent. If something is missing, a person will answer it on a demo call.
Beego 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 Beego apps helps you to pinpoint Beego 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.