bund

logfx v1.0.0: Unified Dev & Production Logger

logfx v1.0.0 is a production-ready logging library offering a single API for both development and production environments. The release includes 13 separate integrations (Datadog, Elasticsearch, Sentry, OpenTelemetry, AWS CloudWatch, Google Cloud Logging, Azure Monitor, Slack, Grafana Loki, Papertrail, Splunk, Honeycomb, Logtail), built-in PII redaction with customizable patterns, a webhook transport with retry, circuit breaker, dead-letter queue and multi-region failover, and framework middleware for Express, Fastify, and Next.js. The core package has zero dependencies, ships as ~3KB gzipped, supports ESM/CJS and full TypeScript, and is usable in Node, Bun, Deno, and browsers (including a Beacon transport for SPA unload reliability). The project clarifies it is a logger (not a full observability or APM platform).

Switzerland Gives Food Industry Deadline for Child‑Directed Ads

The Swiss federal government has given the food and advertising industry until mid-July 2026 to commit to a sector-wide self-regulation scheme that would remove advertising for excessively sugary, fatty or salty products aimed at children under 13. The Federal Office for Food Safety and Veterinary Affairs (BLV) presented a proposal in Bern requiring the code to cover all relevant on- and offline channels (TV, internet, social media, online games, posters near schools), apply the WHO/Europe nutrient‑profile for classification, and be subject to federal oversight. The BLV cites evidence that advertising influences children’s diets and notes one in five Swiss children is overweight or obese.

Benchmark: Node.js vs Bun vs Go HTTP Performance

A developer published a controlled benchmark comparing default HTTP servers in Node.js, Bun and Go across three environments: localhost, an encrypted Tailscale Wi‑Fi mesh, and DigitalOcean cloud droplets. Tests ran each runtime in Docker (single-core and multi-core configurations), serving a simple /json response. Results show Bun leading raw throughput in many cloud multi-core runs (53,446 RPS on 4 cores), Go demonstrating strong single-process, low-latency efficiency (37,617 RPS on 4 cores; optimized raw bytes), and Node.js requiring clustering to approach comparable throughput (31,025 RPS on 4 cores clustered) while showing higher CPU and outlier latency in some scenarios. The author highlights network bottlenecks (local Wi‑Fi adapter) and implementation details (reusePort, Zig event loop, pre-rendered raw bytes) as key factors behind observed differences.