Building Resilient Event-Driven Systems: Lessons from the Distributed Trenches
⚖️CAP Theorem
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On Designing Low-Latency Systems for High-Traffic Environments
hackernoon.com·1d
📡gRPC
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Microservices? No, modularity is what matters
📡gRPC
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Design of quasi phase matching crystal based on differential gray wolf algorithm
arxiv.org·11h
🌍Edge Computing
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Reliability assessment of multi-performance system incorporating multiple common buses and transformation devices
sciencedirect.com·1h
⚖️CAP Theorem
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Evolving Ray and Kubernetes together for the future of distributed AI and ML
cloud.google.com·23h
🔄Tokio
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A Soft‑Fork Proposal for Blockchain‑Based Distributed AI Computation
hackernoon.com·1d
🗄️Database Sharding
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DCcluster-Opt: Benchmarking Dynamic Multi-Objective Optimization for Geo-Distributed Data Center Workloads
arxiv.org·11h
🌍Edge Computing
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Scaling data governance with Amazon DataZone: Covestro success story
aws.amazon.com·19h
🗄️Database Sharding
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Generalized Consensus: Addenda
multigres.com·1d
🔄CRDT
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The Evolving Role of a Solutions Architect
🌐WebAssembly
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The Infrastructure of Modern Ranking Systems, Part 1: The Serving Layer - Real-time Ranking at Scale
shaped.ai·1d
🗄️Database Sharding
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**Microfrontend Architecture: Essential JavaScript Techniques for Building Scalable Distributed Applications**
🌐WebAssembly
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Fix: externalizing network I/O in serverless computing
arxiv.org·11h
🔄Tokio
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Small form factor, big impact: Solving edge computing’s space and performance paradox
nordot.app·1d
🌍Edge Computing
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