Search Results: Redis

A developer shares insights from a learning project tackling high-stakes infrastructure challenges: preventing link abuse while maintaining sub-second redirects, implementing privacy-focused analytics at scale, and optimizing write-heavy workloads. The stack leverages Next.js Edge Middleware with Redis and MongoDB for a real-world stress test of distributed systems principles.

Platformatic's Watt 3.18.0 integrates Next.js 16's explicit 'use cache' directive, enabling component-level caching in production via a new Redis/Valkey adapter. This solves critical self-hosting challenges like cache inconsistencies in scaled deployments, delivering Vercel-like performance without platform lock-in. Developers now have zero-config tools for fine-grained control and resource efficiency at scale.

In its 2025.10 release, Authentik eliminated Redis as a mandatory dependency, consolidating all data storage in PostgreSQL. The move simplifies architecture, reduces operational overhead, and reflects a broader industry shift away from proprietary in‑memory stores. For self‑hosted IdPs, the change promises tighter security, easier maintenance, and a new performance profile.

After years of drifting through JavaScript and other modern stacks, one developer finds that Perl’s evolution—especially its new subroutine signatures, built‑in error handling, and lightweight OO with Moo—offers a surprisingly smooth, fast, and secure experience for building a static site generator. The piece explores how Perl’s package‑manager‑centric ecosystem stands in stark contrast to the volatile npm world.

A web developer's Redis clone built in Zig achieves near-native performance—within 5-8% of original Redis throughput—after optimizing parsing bottlenecks and allocator overhead. The project reveals critical lessons about buffered I/O, systems programming tradeoffs, and the value of open-source learning for high-performance databases.

A rigorous benchmark reveals Redis's clear performance advantage for caching workloads, yet argues PostgreSQL's simplicity and dependency reduction may justify its use despite slower speeds. Real-world tests on Kubernetes show when 'good enough' architecture trumps raw performance.