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Great Power, Great Latency: The Spider-Sense of NUMA Tuning
mydbanotebook.org·4d
🏗️NUMA
How to Reduce Telemetry Volume by 40% Smartly
newsletter.signoz.io·1d·
Discuss: r/programming
🔭Tracing
★ Claude Code: /insights
perrotta.dev·1d
🦀Rayon
Building a Dynamic Multilanguage System Without Rebuilds
kuldeepmodi.vercel.app·1d·
Discuss: DEV
🍱Nom
Resourceful Computing: What Happens When We Optimize for Old Hardware?
dev.to·2d·
Discuss: DEV
🚀Performance
Micro-Front Ends in 2026: Architecture Win or Enterprise Tax?
iocombats.com·1d·
Discuss: Hacker News
📡Event-Driven Architecture
Production pain points and coordination patterns from building a dual-orchestrator (Claude + Kimi) system on Claude Code. 8 failure modes with specs and invariants.
gist.github.com·1d·
Discuss: Hacker News
🌀Maelstrom
How Meta turned the Linux Kernel into a planet-scale Load Balancer. Part I
softwarefrontier.substack.com·2d·
Discuss: Substack
⚖️Katran
The Real Operational Cost of Vacuuming in PostgreSQL
mariadb.org·16h·
Discuss: Hacker News
🐘PostgreSQL Internals
Intel Readies Z990 and Z970 Chipsets for Core "Nova Lake-S" Processors
techpowerup.com·16h
⚡Intel TSX
When 20 Watts Beats 20 Megawatts
dev.to·1d·
Discuss: DEV
🚧Memory Barriers
ericblue/claude-vibekanban: PRD-to-Tasks Workflow for Claude Code + VibeKanban
github.com·17h·
Discuss: Hacker News
📞Tauri IPC
Deobfuscation and Analysis of Ring-1.io
back.engineering·21h·
Discuss: Hacker News
🦅Falco
Geospatial System Design Patterns
systemdr.substack.com·1d·
Discuss: Substack
📋Columnar Storage
What the Claude Opus 4.6 Benchmarks Won’t Tell You
pub.towardsai.net
·1d
🌊Memory Bandwidth
Evolving our real-time timeseries storage again: Built in Rust for performance at scale
datadoghq.com·22h
📋Columnar Storage
The Risk of Not Optimizing Clock Power
semiwiki.com·3d
🎲Hardware Branch Prediction
Introduction to Abject-Oriented Programming (2007)
typicalprogrammer.com·1d·
Discuss: Hacker News
🦀Rust Macros
Processes and Threads - Discourse on Concurrency, Part I
ayanmali.substack.com·3d·
Discuss: Substack
🔄Concurrency
Is Your Machine Learning Pipeline as Efficient as it Could Be?
kdnuggets.com·3d
📱Edge AI

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