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Having 12+ Years of Experience in Software Development

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Home » Debugging & Troubleshooting » Page 24

Debugging & Troubleshooting

Resolving Perl script high CPU throttling due to unoptimized regular expressions Under Peak Event Traffic on Google Cloud

Identifying the Bottleneck: CPU Throttling Under Load When a critical Perl script, responsible for processing high-volume event traffic, begins to exhibit high CPU utilization and subsequent throttling on Google Cloud Platform (GCP) during peak loads, the immediate instinct is to look at resource allocation. However, before scaling up instances or adjusting CPU quotas, a deep […]

Step-by-Step: Diagnosing Memory leaks in long-running Python Celery worker daemons on DigitalOcean Servers

Initial Assessment: Identifying the Symptoms Memory leaks in long-running Python processes, particularly Celery workers, manifest as a gradual but persistent increase in RAM consumption over time. This often leads to increased swap usage, degraded application performance, and eventually, process termination by the operating system’s Out-Of-Memory (OOM) killer. On DigitalOcean servers, this can be observed through […]

Step-by-Step: Diagnosing Slow Largest Contentful Paint (LCP) caused by unoptimized database queries on Google Cloud Servers

Identifying Slow LCP Due to Database Bottlenecks Largest Contentful Paint (LCP) is a critical Core Web Vital, directly impacting user experience and SEO. When LCP is slow, especially on applications hosted on Google Cloud Platform (GCP), a common culprit is an unoptimized database layer. This post details a systematic approach to diagnose and resolve LCP […]

Step-by-Step: Diagnosing buffer overflow runtime exceptions under network stress on Linode Servers

Identifying the Root Cause: Buffer Overflow Under Network Load Buffer overflow vulnerabilities, particularly those triggered under high network stress on Linode servers, present a unique debugging challenge. These issues often manifest as unexpected application crashes, segmentation faults, or even denial-of-service conditions. The transient nature of network traffic and the specific conditions that trigger the overflow […]

How to Debug and Fix Slow Largest Contentful Paint (LCP) caused by unoptimized database queries in Modern WordPress Applications

Identifying Slow Database Queries Impacting LCP The Largest Contentful Paint (LCP) metric is a critical indicator of perceived loading speed in modern web applications, especially those built on platforms like WordPress. When LCP is slow, it often points to bottlenecks in how resources are fetched and rendered. A common, yet frequently overlooked, culprit in WordPress […]

Resolving memory fragmentation under sustained execution Under Peak Event Traffic on OVH

Diagnosing Memory Fragmentation on OVH Instances During Peak Load Sustained execution under peak event traffic, particularly on infrastructure like OVH’s dedicated servers or VPS, often exposes latent memory management issues. Memory fragmentation, a phenomenon where available memory is broken into small, non-contiguous blocks, can lead to `OutOfMemory` errors even when total free memory appears sufficient. […]

How to Debug and Fix Database lock wait timeout exceeded under high peak traffic in Modern Shopify Applications

Identifying the Root Cause: Beyond Simple Queries The dreaded Lock wait timeout exceeded error in a high-traffic Shopify application, especially during peak periods, is rarely a symptom of a single slow query. It’s almost always a cascading failure stemming from a combination of factors: inefficient data access patterns, suboptimal database configuration, and insufficient concurrency management. […]

Fixing memory fragmentation under sustained execution in Legacy C++ Codebases Without Breaking API Contracts

Diagnosing Memory Fragmentation in Long-Running C++ Applications Memory fragmentation, particularly in long-running C++ applications, is a pernicious issue that often manifests as intermittent `std::bad_alloc` exceptions or outright crashes, even when the total memory usage appears well within acceptable limits. This problem stems from the dynamic nature of memory allocation and deallocation. Over time, the heap […]

Fixing Deadlocks on InnoDB row-level locking during simultaneous checkout writes in Legacy Magento 2 Codebases Without Breaking API Contracts

Diagnosing InnoDB Row-Level Deadlocks in Magento 2 Checkout Deadlocks during simultaneous checkout writes in legacy Magento 2 codebases, particularly those leveraging InnoDB’s row-level locking, are a common and frustrating issue. These deadlocks typically manifest when multiple concurrent requests attempt to modify the same database rows, leading to a circular dependency where each transaction waits indefinitely […]

Resolving Memory leaks in long-running Python Celery worker daemons Under Peak Event Traffic on DigitalOcean

Diagnosing Memory Bloat in Python Celery Workers When your Python Celery workers, especially those handling high-volume event traffic on DigitalOcean, begin exhibiting uncontrolled memory growth, it’s a critical issue that can lead to OOM kills, service degradation, and cascading failures. This isn’t a theoretical problem; it’s a production emergency. The root cause is often subtle, […]

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A little about the Author

Having 12+ Years of Experience in Software Development, Vinay is a principal software architect, senior systems engineer, and elite technical consultant. He specializes in bespoke PHP/WordPress development, high-performance Magento 2 & Shopify architectures, custom plugin/theme development from scratch, and legacy code modernization (including VB6, VB.NET, PyQt, and Crystal Reports). Known for solving complex database bottlenecks, speed optimization (Core Web Vitals), and advanced security code auditing, Vinay engineers production-ready systems designed to scale under heavy concurrent load conditions.



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Recent Posts

  • Go Goroutines vs. Node.js Event Loop: Scaling I/O-Bound Microservices Under High Load
  • Elixir Phoenix vs. Go Gin: Concurrency Models and Fault Tolerance Under Peak Request Volume
  • Python Celery vs. Go Channels: Distributed Task Queue Overhead and Memory Reliability
  • Scala Pekko vs. Go Goroutines: Actor Model vs. CSP for Event-Driven Reactive Systems
  • Java Loom Virtual Threads vs. Go Goroutines: Under-the-Hood Scheduler and Thread Overhead Comparison

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Recent Posts

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  • Elixir Phoenix vs. Go Gin: Concurrency Models and Fault Tolerance Under Peak Request Volume
  • Python Celery vs. Go Channels: Distributed Task Queue Overhead and Memory Reliability

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