Magento Performance Monitoring
Get end-to-end visibility into your Magento performance with application monitoring tools. Gain insightful metrics on performance bottlenecks with PHP monitoring to optimize your application.
Why Magento Production Issues Are Hard to Isolate?
Request Flow Explosion
A single Magento request fans out across controllers, blocks, plugins, observers, and helpers. Under production load, teams cannot reconstruct which execution path actually dominated runtime.
Plugin Interception Opacity
Plugins wrap core and custom logic dynamically. Execution order and cumulative cost become invisible once multiple plugins intercept the same method.
Dependency Resolution Overhead
Magento’s dependency injection container resolves large object graphs at runtime. Under load, resolution cost increases without clear attribution.
Checkout Execution Drift
Checkout flows span validation, pricing, inventory, and external services. Failures emerge mid-flow, but execution context fragments before completion.
Indexing Side Pressure
Background indexing and reindex triggers overlap with live traffic. Performance degradation appears unrelated to user requests, masking the true cause.
Cache Invalidation Uncertainty
Cache invalidations propagate unevenly across requests. Teams see inconsistent performance without understanding what execution path bypassed cache.
Cron Execution Interference
Scheduled jobs compete with frontend and admin traffic. Under scale, cron-driven execution alters runtime behavior in non-obvious ways.
Observer Cascade Effects
Observers trigger side effects across unrelated workflows. When latency spikes, engineers struggle to connect the slowdown to the original event trigger.
Troubleshoot Magento Slowdowns That Hurt Conversions
See where slow pages, heavy database operations, and third-party integrations are dragging down Magento store performance before customers feel it.
Real-Time Magento Performance Insights
Pinpoint slow catalog loads, checkout bottlenecks, and API delays as they happen, with metrics tied directly to Magento requests, blocks, and database queries.
Deep-Dive Error Tracking for Magento Workflows
Capture fatal PHP errors, unhandled exceptions in modules, and third-party extension faults, then trace issues back to the exact class or template trigger.
Slow Query and Redis Analysis
Identify heavy MySQL queries and Redis cache misses that stall page renders, with breakdowns across collection loads, session calls, and indexer jobs.
Tailored Alerts for High-Value Magento Pages
Get alerted on cart abandonment risks, discount rule slowdowns, and payment gateway latency spikes before they impact revenue.
Deployment Impact Visibility
Track performance changes after module releases and compare key metrics before and after deploy to ensure new features do not degrade checkout or frontend speed.
Why Teams Choose Execution-Aware Observability for Magento?
Magento teams choose Atatus when they need to reason about complex execution paths, not just page speed, across storefront, admin, and background workflows.
Execution Path Grounding
Teams understand how Magento requests actually execute across plugins, observers, and services instead of assuming linear flow.
Plugin Interaction Clarity
Engineers reason about how multiple plugins interact at runtime without manually untangling interception chains.
Observer Impact Awareness
Side effects triggered by observers are evaluated in execution context, reducing misattribution during investigations.
Checkout Flow Confidence
Teams diagnose checkout-specific execution issues with confidence, even when failures occur mid-transaction.
Background Work Context
Indexing and cron execution are understood alongside live request behavior, preventing false conclusions.
Low Disruption Adoption
Insight is gained without refactoring Magento modules or changing deployment workflows.
Shared Runtime Understanding
Platform, SRE, and backend teams align on the same execution reality instead of fragmented signals.
Reduced Diagnostic Guesswork
Engineers debug production issues using observed runtime behavior instead of stitching logs, metrics, and assumptions during high-pressure situations.
Unified Execution View
Teams view latency, errors, and execution behavior in a single runtime context instead of correlating multiple disconnected signals during production issues.
Unified Observability for Every Engineering Team
Atatus adapts to how engineering teams work across development, operations, and reliability.
Developers
Trace requests, debug errors, and identify performance issues at the code level with clear context.
DevOps
Track deployments, monitor infrastructure impact, and understand how releases affect application stability.
Release Engineer
Measure service health, latency, and error rates to maintain reliability and reduce production risk.
No Code Changes. Get Instant Insights for PHP frameworks.
Frequently Asked Questions
Find answers to common questions about our platform