Digest #188: Kubernetes Retires ingress-nginx, Netflix Scales Logging to Petabytes, and What Anthropic Really Spends on AWS
devopsbulletin.com·1d
🔧DevOps
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Integrating Billing in a Single PR
uselark.ai·1d·
Discuss: Hacker News
🎨API Design
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Rippling's Gunicorn pre-fork journey – Rippling
rippling.com·2d·
Discuss: Hacker News
🎆Firecracker
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Human or Machine? Low-Latency Audio Detection of Humans at Scale
nooks.ai·2d·
Discuss: Hacker News
🚀Performance
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Show HN: ModelPilot – An LLM router that selects the best model for each prompt
modelpilot.co·15h·
Discuss: Hacker News
💬Prompt Engineering
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Understanding Go's Garbage Collector
rugu.dev·1d·
Discuss: Hacker News
🗑️Garbage Collection
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CRX – Need help to complete my project
github.com·1h·
Discuss: Hacker News
🗃️Zettelkasten
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Show HN: Stockfisher –– our automated Warren Buffett
news.ycombinator.com·2d·
Discuss: Hacker News
💰TigerBeetle
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Weekly Nvim Plugin Update: Cache 5-6x Faster, UE 5.7 Support!
dev.to·1d·
Discuss: DEV
💽NVMe
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Optimizing RocksDB in TiKV (Part 1) – The Battle Against the DB Mutex
medium.com·3d·
📋Columnar Storage
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Unitxt: A Comprehensive Framework for Enterprise-Grade AI Performance Evaluation
pub.towardsai.net·1d
📊Performance Tools
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Tech With Tim: Python Skills You NEED Before Machine Learning
dev.to·8h·
Discuss: DEV
📊Data Science
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Data reuse enables cost-efficient randomized trials of medical AI models
arxiv.org·3d
🧠Machine Learning
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Data Governance Made Simple: How to Protect and Control Your Data Assets
dev.to·3d·
Discuss: DEV
🔧Data Engineering
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SlideBot: A Multi-Agent Framework for Generating Informative, Reliable, Multi-Modal Presentations
arxiv.org·2d
🔀Procedural Generation
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Beyond MSE: Ordinal Cross-Entropy for Probabilistic Time Series Forecasting
arxiv.org·2d
⏱️Time Series Analysis
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Enhancing the Medical Context-Awareness Ability of LLMs via Multifaceted Self-Refinement Learning
arxiv.org·2d
💬Prompt Engineering
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PRISM: Diversifying Dataset Distillation by Decoupling Architectural Priors
arxiv.org·2d
🧮Vector Databases
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Automated Stellar Population Synthesis via Adaptive Gaussian Process Regression
dev.to·1d·
Discuss: DEV
🌀Naiad
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