Archive of posts with category 'ruby'
You're using Jekyll for its simplicity, but you feel limited by its static nature when it comes to data-driven decisions. You check Cloudflare Analytics manually, but wish that data could...
Your Jekyll site on GitHub Pages loads slower than you'd like, and you're noticing high bounce rates in your Cloudflare Analytics. The data shows visitors are leaving before your content...
Your Jekyll blog has great content but isn't ranking well in search results. You've added basic meta tags, but SEO feels like a black box. You're unsure which pages to...
Static Jekyll sites can leverage API-driven content to combine the performance of static generation with the dynamism of real-time data. By using Ruby for sophisticated API integration and Cloudflare Workers...
Modern Jekyll development requires robust CI/CD pipelines that automate testing, building, and deployment while ensuring quality and performance. By combining GitHub Actions with custom Ruby scripting and Cloudflare Pages, you...
Developing custom Ruby gems extends Jekyll's capabilities with seamless Cloudflare and GitHub integrations. Advanced gem development involves creating sophisticated plugins that handle API interactions, content transformations, and deployment automation while...
Traditional Jekyll builds require complete site regeneration for content updates, causing delays in publishing. By implementing real-time synchronization between GitHub and Cloudflare, you can achieve near-instant content updates while maintaining...
Production Jekyll deployments require sophisticated error handling and monitoring to ensure reliability and quick issue resolution. By combining Ruby's exception handling capabilities with Cloudflare's monitoring tools and GitHub Actions' workflow...
Distributed caching systems dramatically improve Jekyll site performance by serving content from edge locations worldwide. By combining Ruby's processing power with Cloudflare Workers' edge execution, you can build sophisticated caching...
Distributed caching systems dramatically improve Jekyll site performance by serving content from edge locations worldwide. By combining Ruby's processing power with Cloudflare Workers' edge execution, you can build sophisticated caching...
Jekyll's data processing capabilities are often limited by sequential execution and memory constraints when handling large datasets. By building sophisticated Ruby data processing pipelines, you can transform, aggregate, and analyze...