AI Briefing#ssr
The latest AI and developer news about #ssr, with the original source and a short summary.
The latest AI and developer news about #ssr, with the original source and a short summary.
We built an authentication architecture that unifies disparate token ingestion paths from web and app webviews into httpOnly cookies, resolving timing issues.
After upgrading to Valkey 9.1, Imweb cut overall CPU usage by 86.6%.
As Yarn Berry's PnP and Zero-installs became a new bottleneck, the team switched to pnpm and improved memory usage and deployment efficiency.
Inflearn revamped its Module Federation-based header, balancing UX and DX with snapshots and transform-based motion.
Achieved a 4.6x improvement in TPS and a 4x reduction in response time, with additional optimization via Nginx static resource serving.
Kakao Makers built a process-level monitoring pipeline using PM2, Grafana Alloy, and TSCoke to overcome the limitations of OS-level monitoring for Next.js SSR servers.
Shares hands-on experience analyzing and resolving CORS errors and Version Skew issues occurring in a Next.js SSR environment.
Gradio is a framework for interacting with ML models, featuring automatic API generation, SSR, and queue management.
By applying ISR-based Full Route Cache to product listing and detail pages, average TPS increased from 34 to 220.
Oliveyoung introduced a dedicated pickup-only cart tab to improve customer accessibility, along with improvements to UI/UX and rendering.
Appropriate technology is a core leadership role that balances developers' desire to learn with the company's goal of stable operations.
Oliveyoung launched the Live section, improving performance and user experience by applying a new architecture.
KakaoPage implemented dark mode by controlling body tag classes and CSS variables, resolving flicker with render-blocking scripts.