Small form factor, big impact: Solving edge computing’s space and performance paradox
nordot.app·1d
🌍Edge Computing
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**Microfrontend Architecture: Essential JavaScript Techniques for Building Scalable Distributed Applications**
dev.to·2d·
Discuss: DEV
🌐WebAssembly
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Fix: externalizing network I/O in serverless computing
arxiv.org·20h·
Discuss: Hacker News
🔄Tokio
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Exploring a space-based, scalable AI infrastructure system design
research.google·8h·
Discuss: Hacker News
🌍Edge Computing
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The Hidden Cost of Microservices: When Complexity Kills Velocity
dev.to·2d·
Discuss: DEV
🗄️Database Sharding
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Diversifying cloud resources is essential
infoworld.com·16h
🌍Edge Computing
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Top Open Source Tools for Kubernetes ML: From Development to Production
dev.to·9h·
Discuss: DEV
🔄Tokio
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Inside Pinecone: Slab Architecture
pinecone.io·8h·
Discuss: Hacker News
🗄️Database Sharding
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Show HN: Polyglot standard library HTTP client C/C++/Rust/Python and benchmarks
github.com·21h·
Discuss: Hacker News
📡gRPC
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Petri Dish Neural Cellular Automata
pub.sakana.ai·1h·
Discuss: Hacker News
♟️Alpha-Beta Pruning
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Catalog of reliability properties for blockchains (Antithesis)
antithesis.com·1d·
Discuss: Hacker News
🔄CRDT
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Powering distributed AI/ML at scale with new partnership between Azure and Anyscale
devblogs.microsoft.com·2h
🔄Tokio
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Trust in the Machine: Building Reputable Service Networks for AI Agents
dev.to·1d·
Discuss: DEV
🤖Machine Learning
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PyTorch Team Introduces Cluster Programming
i-programmer.info·7h
🔄Tokio
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Send this article to your friend who still thinks the cloud is a good idea
rameerez.com·4h·
Discuss: Hacker News
⚖️CAP Theorem
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Tetris: An SLA-aware Application Placement Strategy in the Edge-Cloud Continuum
arxiv.org·20h
🌍Edge Computing
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Continuous Architecture: A decade of designing for change
continuousarchitecture.com·14h·
Discuss: Hacker News
⚖️CAP Theorem
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Byzantine Attacks in RIS-Enhanced Cooperative Spectrum Sensing: A Decision Fusion Perspective
arxiv.org·1d
🌍Edge Computing
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Automated Defect Prediction via Cross-Entropy Regularized Graph Neural Networks for Microservice Architectures
dev.to·1d·
Discuss: DEV
🤖Machine Learning
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'No Free Lunch: Deconstruct Efficient Attention with MiniMax M2'
lmsys.org·1d
♟️Alpha-Beta Pruning
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