Bottleneck Analysis
Identify performance blockers in app code, server resources, or database layers and recommend fixes to improve speed, stability, and user experience.
Start Bottleneck AnalysisOverview
Hidden performance bottlenecks can cripple even well-built systems. GullySystem performs deep-dive analysis across your application stack to uncover slow code, database issues, server resource drains, and inefficient logic that hinder performance.
Benefits
Faster Application Speed
Identify and eliminate code or query delays that slow down your app and impact user satisfaction or SEO rankings.
Reduced Server Load
Detect high CPU, RAM, or I/O usage caused by poor logic, heavy queries, or inefficient middleware layers.
Improved Scalability
Resolve scaling blockers like single-threaded processes or unoptimised cache, making your app ready for growth.
Lower Error Rates
Pinpoint errors, timeouts, and memory leaks that affect uptime and result in broken flows or bad user experiences.
Data-Driven Recommendations
Get clear, prioritised fix suggestions for code refactoring, DB tuning, caching, and infrastructure adjustments.
Better User Experience
Deliver smoother workflows, faster screen loads, and more responsive interactions by resolving backend delays.
What’s Included
Full Stack Performance Review
Evaluate frontend, backend, API, server, database, and network layers for latency, load, and logic issues.
Code & Logic Profiling
Use profilers to inspect function execution time, loops, and bottlenecks in app logic or third-party libraries.
Database Query Audit
Analyse query patterns, joins, indexes, and execution time to flag and fix slow or redundant operations.
Server Resource Monitoring
Track CPU, RAM, disk, and network usage to isolate load patterns and find constraints under traffic peaks.
Third-Party Service Review
Analyse delays from external APIs, services, or SDKs that could block frontend or backend workflows.
Optimisation Report & Fix Plan
Deliver a prioritised action plan with root cause insights, quick wins, and long-term performance strategies.
Tools & Technologies We Use
Application Profilers
Blackfire, Xdebug, Laravel Telescope, New Relic, and custom instrumentation for tracking code performance.
Database Tools
MySQL EXPLAIN, pgAdmin, pt-query-digest, MongoDB Profiler for query timing and optimisation.
Server Monitoring
top, htop, iostat, Prometheus, Grafana, Netdata for monitoring system-level resource usage.
Frontend Performance Tools
Google Lighthouse, Chrome DevTools, WebPageTest, and bundle analysers for frontend performance audits.
Log & Trace Analysis
ELK Stack, DataDog, CloudWatch, Jaeger for distributed tracing and root cause identification.
Use Cases
Slow Page Loads in Web Apps
Find whether the slowness is caused by frontend JS, backend APIs, or database queries and resolve the exact pain point.
High CPU Usage Under Load
Identify loops, unnecessary calculations, or blocking calls that spike resource usage under user load.
Database Timeouts During Peak
Audit slow queries, add indexes, and fix table scans to reduce execution time and avoid backend crashes.
Third-Party API Delays
Detect bottlenecks caused by slow or unreliable external services and suggest fallback or async strategies.
Memory Leaks in Background Jobs
Spot memory bloats in workers or queues due to poor garbage collection or object retention issues.
Microservices Latency
Trace performance issues across distributed systems and service communication points to reduce hop time.