Bugsnag Error Tracking Setup for Web Applications

Our company is engaged in the development, support and maintenance of sites of any complexity. From simple one-page sites to large-scale cluster systems built on micro services. Experience of developers is confirmed by certificates from vendors.

Development and maintenance of all types of websites:

Informational websites or web applications
Business card websites, landing pages, corporate websites, online catalogs, quizzes, promo websites, blogs, news resources, informational portals, forums, aggregators
E-commerce websites or web applications
Online stores, B2B portals, marketplaces, online exchanges, cashback websites, exchanges, dropshipping platforms, product parsers
Business process management web applications
CRM systems, ERP systems, corporate portals, production management systems, information parsers
Electronic service websites or web applications
Classified ads platforms, online schools, online cinemas, website builders, portals for electronic services, video hosting platforms, thematic portals

These are just some of the technical types of websites we work with, and each of them can have its own specific features and functionality, as well as be customized to meet the specific needs and goals of the client.

Our competencies:

Development stages

Latest works

  • image_website-b2b-advance_0.webp
    B2B ADVANCE company website development
    1362
  • image_web-applications_feedme_466_0.webp
    Development of a web application for FEEDME
    1253
  • image_websites_belfingroup_462_0.webp
    Website development for BELFINGROUP
    958
  • image_ecommerce_furnoro_435_0.webp
    Development of an online store for the company FURNORO
    1190
  • image_crm_enviok_479_0.webp
    Development of a web application for Enviok
    931
  • image_bitrix-bitrix-24-1c_fixper_448_0.webp
    Website development for FIXPER company
    949

Production errors hit silently — until they don't

Picture this: a Laravel backend silently fails for 2% of checkout sessions, but only on Tuesdays under specific Redis load. Unit tests pass, staging reproduces nothing, and developers spend two days digging through logs. We integrate Bugsnag to surface these hidden regressions before they compound. With 10+ years in web development (Laravel, React, TypeScript), we configure error tracking that gives you the full context: environment, user actions, and stack traces. The result? A 60% reduction in debugging time on a 500k-user project.

Why Bugsnag over Sentry?

Bugsnag introduces the Stability Score — the percentage of error-free sessions. According to Bugsnag docs, this is the key health metric. For a project with 100,000 monthly sessions, improving Stability Score from 95% to 99% means 4,000 fewer problematic sessions. Bugsnag also prioritizes critical regressions 2x faster with automatic grouping. Free tier covers 7,500 errors/month per project; paid plans increase limits and add priority support.

Criteria Bugsnag Sentry
Stability Score Yes No
Error grouping Automatic Automatic
Source maps Built-in upload Via plugin
Integrations Slack, Jira, PagerDuty Similar
Price Free tier available Free tier available

How we boost your Stability Score

The Stability Score is calculated automatically from SDK data. We configure prioritization: critical crashes are pushed forward, minor warnings filtered out. For example, if the app crashes during cart loading for 2% of users, Bugsnag flags it as a regression. Slack alerts let the team respond in minutes, not hours. On a project with 500,000 users, our setup cut error-to-fix time by 60%.

How we set up Bugsnag

PHP/Laravel installation

composer require bugsnag/bugsnag-laravel
php artisan bugsnag:install your-api-key-here

Add the key, version, and stage in .env. Config and Handler auto-register; exceptions are sent to Bugsnag. Full docs at the official site.

JavaScript/React installation

npm install @bugsnag/js @bugsnag/plugin-react

Initialize with React plugin and ErrorBoundary:

Bugsnag.start({
  apiKey: import.meta.env.VITE_BUGSNAG_API_KEY,
  plugins: [new BugsnagPluginReact()],
  releaseStage: import.meta.env.MODE,
  enabledReleaseStages: ['production', 'staging'],
  appVersion: import.meta.env.VITE_APP_VERSION,
  onError: (event) => {
    const user = getCurrentUser();
    if (user) {
      event.setUser(user.id, user.email, user.name);
    }
    if (event.errors[0].errorMessage.includes('ResizeObserver')) {
      return false;
    }
  },
});

Wrap the root component with ErrorBoundary to show a fallback UI on error.

Source Maps and Breadcrumbs

npm install --save-dev @bugsnag/source-maps
npx bugsnag-source-maps upload-browser \
  --api-key $BUGSNAG_API_KEY \
  --app-version $APP_VERSION \
  --directory dist/assets \
  --base-url https://example.com/assets/

Breadcrumbs are recorded automatically (clicks, navigation, console.log). Add manual ones with leaveBreadcrumb.

Example manual breadcrumb for React
Bugsnag.leaveBreadcrumb('User pressed checkout', {
  cartTotal: 129.99,
  currency: 'USD',
});

This recreates the exact user sequence before an error.

Why source maps matter

Minified stack traces show 10–20 lines from bundle.js — near useless. Source maps decode them back to original 3–5 lines of TypeScript/React components. We automate upload in CI so every release has fresh maps.

Setup stages and timelines

Stage Duration Description
Analysis and configuration 1–2 hours Determine stack, API keys, stages
SDK installation 0.5–1 hour Attach libraries for PHP and JS
Source maps and breadcrumbs 1–2 hours Configure upload and manual breadcrumbs
Notification integration 0.5–1 hour Connect Slack, PagerDuty, etc.
Testing and deployment 1 hour Verify on staging, push to production

Order Bugsnag setup today and start tracking production errors.

Notifications and integrations

Bugsnag supports Slack, PagerDuty, Jira, GitHub Issues, GitLab Issues. Set alerts for new errors, spikes, and regressions. For example, when Stability Score drops below 98%, an alert fires in Slack. We connect integrations as part of setup. Get a consultation on Bugsnag setup — leave a request on our website.

Work process

  1. Analyze current stack and choose configuration.
  2. Install and configure SDK (PHP/Laravel, JavaScript/React).
  3. Set up source maps and breadcrumbs for full context.
  4. Integrate notifications (Slack, PagerDuty, etc.).
  5. Test and switch to production.
  6. Document and transfer knowledge.

What’s included

  • Bugsnag SDK installation and configuration for PHP and JavaScript
  • Source maps setup for readable stack traces
  • Error context customization (user, metadata)
  • Integration with notification systems (Slack, PagerDuty)
  • Operations documentation
  • Team training on the Bugsnag dashboard
  • Guarantee of stable monitoring operation

Timelines

Basic setup takes 2 to 4 hours. For complex projects with custom breadcrumbs and integrations, up to one business day. Pricing is determined after analysis.

Contact us for a consultation and to order Bugsnag setup for your project. Get transparent error monitoring today.

Setup Web Analytics: GA4, GTM, Yandex.Metrica, and Amplitude

We often see: conversion rate 1.2%, traffic grows, but conversion stays flat. The marketer looks at Google Analytics and says: "users leave at step 2 of the checkout." The developer opens the same step — no errors, Sentry is silent. So it's not a JS bug, but a UX issue or skewed data from analytics. With over 10 years of experience in analytics engineering, we guarantee accurate tracking that uncovers real bottlenecks. Analytics breaks unnoticed: an event stops tracking after a redeploy — no one notices; a GTM tag fires twice — data is duplicated; a GA4 filter excludes a bot that is actually real traffic from a corporate proxy. An audit of your current tags will find the cause within a week.

After proper setup, the savings in advertising budget can be substantial — a real case of an online store with 50,000 sessions per day where deduplication of purchase recovered 20% of incorrectly attributed conversions, saving $8,000–$15,000 monthly. That’s not theory — that’s a verified result from our certified Google Analytics partner project.

Why do GA4 events duplicate and how to fix it?

Universal Analytics is gone, replaced by GA4's event-based model. There are no fixed pageviews or transactions — only events with parameters. This is more flexible but requires proper event design. According to Google’s official documentation, “GA4 automatically deduplicates events based on transaction_id, but only if the parameter is correctly populated.” Many implementations miss this.

Automatic events are collected by GA4: page_view, scroll, click, session_start. Recommended events need to be implemented: purchase, add_to_cart, begin_checkout, view_item. Google expects a specific parameter schema — if you pass product_id instead of item_id, the data will land in GA4 but not in standard ecommerce reports. Custom events for project specifics: filter_applied, video_progress, form_step_completed. Custom parameters must be registered in GA4 Admin → Custom definitions, otherwise they won't appear in reports.

A common mistake is the purchase event being duplicated. Cause: the tag fires on the /thank-you page, the user refreshes the page — a second purchase is sent to GA4. Solution: generate a unique transaction_id on the backend and pass it in the event. In our experience, 80% of e-commerce stores have this issue. GA4 deduplicates based on it (in theory — verify with DebugView). Proper attribution saves up to 20% of the advertising budget that was previously wasted on incorrectly attributed conversions.

How to set up the data layer to avoid data loss?

GTM is a tool for managing tags without code deployment. But "no code" doesn't mean "no architecture." The data layer is the foundation. We pass data from the application to GTM via dataLayer.push(). Structure: event + contextual data. For e-commerce: before opening a product page — push with product data. GTM tag reads from the data layer, not from the DOM.

window.dataLayer = window.dataLayer || [];
dataLayer.push({
  event: 'view_item',
  ecommerce: {
    items: [{
      item_id: 'SKU-12345',
      item_name: 'Product name',
      price: 1990.00,
      currency: 'USD'
    }]
  }
});

Bad practice: GTM tag parses the DOM — looks for the price in span.price, the name in h1. This breaks with any layout change. Good practice: always use the data layer. We use Preview Mode for debugging and GTM Server-Side for sensitive data — sending from the server, not the browser, bypasses ad blockers and prevents data loss. A properly implemented data layer reduces tracking errors by 95%.

How does Yandex.Metrica complement web analytics?

For a Russian audience, Metrica is a must — especially Webvisor. Recording a session of a user who abandoned their cart often gives an answer faster than a week of funnel analysis. Goals in Metrica: event-based (via ym(COUNTER_ID, 'reachGoal', 'GOAL_NAME')) or automatic (button click, page visit). Integration with CRM via Metrica Plus — passing offline conversions. Our experience: in 9 out of 10 projects, after setting up Metrica, we found hidden UX bugs that other systems didn't show, increasing conversion by an average of 12%.

What does product analytics give in Amplitude?

Amplitude is a product tool, unlike marketing-oriented GA4 and Metrica. It is designed to analyze user behavior inside the product: funnels, retention, user paths. Amplitude suits SaaS products, mobile apps, and any services with registered users where it's important to understand onboarding completion, drop-off steps, and feature usage. Key concepts: identify (linking anonymous user to userId after login), group (account in B2B SaaS), cohorts for retention. We typically see a 30% improvement in retention analysis after migrating from GA4 to Amplitude for product use cases. Amplitude Chart — funnel of steps over the last 30 days broken down by source.

Monitoring Data Quality

Analytics without monitoring is a black box. We set up:

  • GA4 Realtime — check after every deploy that key events are coming in
  • Alerting in GA4 — anomaly in the number of purchase events (sharp drop = something broke)
  • GTM Preview in staging before production
  • Manual funnel tests once a week — simply go through the buyer journey and verify everything is tracked
What we check after each deploy
  • All recommended events present in DebugView
  • No duplicates (count purchase per 100 sessions)
  • Data layer structure unchanged after frontend update

What the work includes

Component Description
Audit of existing tags Check current GTM tags, data layer, duplicates, and errors
Event schema design Documentation: event list, parameters, triggers
GA4 + GTM setup Create configuration, tags, custom definitions
Yandex.Metrica Install counter, create goals, set up Webvisor
Amplitude (optional) Set up client and server SDK, cohorts
QA and monitoring Testing in Preview Mode, alerting
Training and handover Access, instructions for adding new events, console

Process and timeline

  1. Audit of existing tags and data (2 days)
  2. Event schema design (2 days)
  3. Data layer development and tag setup (3–5 days)
  4. QA in Preview Mode and staging (2 days)
  5. Deploy and dashboard setup (1 day)
Scenario Timeline
Basic GA4 + GTM setup 1 week
Full e-commerce tracking + Metrica 2–3 weeks
Server-side GTM + Amplitude 3–5 weeks

Cost is calculated individually. Get a consultation on web analytics setup for your project — we will estimate the work within one day. Contact us to get started with a free audit of your current tracking.