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Technical insights, tutorials, and best practices for web development.
Everyone tunes the page cache. Meanwhile, with an undersized OPcache buffer, a WooCommerce store with six popular plugins recompiles ~1,200 PHP files on every single page view - doubling worker RAM, saturating CPU, and cutting throughput by 29%. I measured all of it, request by request. No dashboard shows you any of this.
I read 150 EmDash hot takes in a week. Almost none came with data. So I built two identical sites, ran 4,732 cold-isolated curl measurements over ~3.5 days, and asked an SEO crawl-stats expert to grade the result blind. Here is what actually happened.
WooCommerce checkout slow? Caching can't fix it. Find which of 4 layers — server, database, APIs, frontend — is yours, and fix that first.
Add to cart slow while the rest of your WooCommerce site is fast? The click can't be cached — it shows your real server speed. Anatomy, diagnosis and fixes.
UTM and click-ID parameters fragment your cache and leak into your logs. One Cloudflare Transform Rule strips them at the edge in 10 minutes — without breaking attribution.
Duplicacy reported 109 GB of chunks in my GridPane server's Backblaze bucket. The invoice said 607 GB. The difference was 501,495 hidden file versions: fossils Duplicacy parked in B2 and never came back to delete. Invisible to the backup, invisible to the file browser, billed every month. How the two-phase delete leaves them behind, how to count yours with 30 lines of Python, and the one lifecycle rule that cleans it up without a maintenance window.
Performance tests tell you how fast your store is. They don't tell you if your checkout actually works. Playwright does. Here's how to write your first test in under 10 minutes.
The default WooCommerce search is slow by design. I'm building a custom plugin using RediSearch and SHORTINIT to see how fast autocomplete can get. Early results from a cheap VPS inside.
A 1:1 database clone sends real emails, charges real cards, and corrupts your analytics. Here's how to build staging environments that are functionally identical but externally dead.
Code optimization on a terrible host is a dead-end loop. I share real benchmarks - same code, two servers - and why the order of operations fundamentally changes the outcome.
A case study on building the Shift64 website using Astro, exploring the technology choices, architecture decisions, and lessons learned.
Automate WordPress theme versioning end-to-end — from release pipeline setup to daily commits and PRs. One Claude Code skill sets up Semantic Release, three commands handle the rest.