Having 12+ Years of Experience in Software Development
Establishing a Baseline: Measuring p99 Latency in Ruby Applications Before any optimization can occur, a precise understanding of the current performance landscape is paramount. For Ruby applications, particularly those serving web requests, the 99th percentile (p99) response latency is a critical metric. It represents the response time that only 1% of requests exceed, offering a […]
Leveraging the Custom Settings API for Performant Theme Options WordPress theme options panels, when implemented naively, can become significant performance bottlenecks, particularly impacting Largest Contentful Paint (LCP) and Interaction to Next Paint (INP). The Custom Settings API, while powerful, requires careful consideration to avoid excessive database queries, large script enqueues, and complex rendering logic that […]
Nginx as a High-Performance Frontend for Ruby Applications When deploying Ruby applications, particularly those using frameworks like Rails or Sinatra, on Google Cloud Platform (GCP), Nginx often serves as the primary web server and reverse proxy. Its efficiency in handling static assets, SSL termination, and load balancing makes it an indispensable component. Proper tuning of […]
Architectural Foundation: Asynchronous C++ and High-Performance Networking Achieving 50,000+ concurrent requests with C++ on OVH infrastructure necessitates a robust, non-blocking, and highly efficient architectural foundation. Traditional thread-per-request models quickly become a bottleneck due to context switching overhead and memory consumption. Our approach leverages an event-driven, asynchronous I/O model, primarily using libraries like Boost.Asio or the […]
Advanced Transient Cache Management and Query Optimization with Custom Hooks WordPress’s transient API offers a powerful mechanism for temporary data storage, often leveraged for caching. However, its default implementation can be opaque, making auditing and fine-grained control challenging. This post delves into creating custom action and filter hooks to manage advanced transient caching, optimize complex […]
Leveraging Redis for MongoDB Caching in WooCommerce APIs Scaling a high-throughput WooCommerce application API, particularly one heavily reliant on MongoDB for product catalogs, order data, and user profiles, necessitates a robust caching strategy. Direct MongoDB queries for frequently accessed, relatively static data can quickly become a bottleneck under heavy load. This document outlines advanced caching […]
Nginx as a High-Performance Frontend for Shopify Applications When deploying a custom Shopify backend or a headless architecture on Linode, Nginx serves as the critical front-facing web server. Its efficiency in handling static assets, SSL termination, and request routing is paramount. For optimal performance, we’ll focus on tuning worker processes, connection limits, and caching strategies. […]
Leveraging Redis for Elasticsearch Caching: A Deep Dive When building high-throughput C application APIs that rely on Elasticsearch for data retrieval, aggressive caching is not an option; it’s a necessity. Elasticsearch, while powerful, can become a bottleneck under heavy load, especially for complex queries or aggregations. This document outlines advanced caching strategies, focusing on integrating […]
Nginx as a High-Performance Frontend for Ruby Applications When deploying Ruby web applications, particularly those built with frameworks like Rails or Sinatra, Nginx serves as an indispensable frontend. Its strengths lie in its asynchronous, event-driven architecture, making it exceptionally efficient at handling a large number of concurrent connections, serving static assets, and acting as a […]
Elasticsearch Query Caching: A Deep Dive for High-Throughput C++ APIs When building high-throughput C++ applications that rely on Elasticsearch for data retrieval, query caching becomes paramount. Elasticsearch itself offers several layers of caching, but understanding how to leverage them effectively, and when to implement application-level caching, is crucial for minimizing latency and reducing cluster load. […]