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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Enabling Trillion-Parameter Models on AWS EFA
📡gRPC
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Design of quasi phase matching crystal based on differential gray wolf algorithm
arxiv.org·20h
🌍Edge Computing
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Replication redefined: How we built a low-latency, multi-tenant data replication platform
datadoghq.com·1d
🔄CRDT
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Reliability assessment of multi-performance system incorporating multiple common buses and transformation devices
sciencedirect.com·10h
⚖️CAP Theorem
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Evolving Ray and Kubernetes together for the future of distributed AI and ML
cloud.google.com·1d
🔄Tokio
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Generalized Consensus: Recap
multigres.com·1d
🔄CRDT
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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·20h
🌍Edge Computing
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The Hidden Challenges Startups Face with Cloud Infrastructure (From a DevOps Engineer’s Perspective)
⚖️CAP Theorem
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Scaling data governance with Amazon DataZone: Covestro success story
aws.amazon.com·1d
🗄️Database Sharding
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Arista Modular Switches Aim At Scale Across Networks, Hit Scale Out, Too
nextplatform.com·8h
⚖️CAP Theorem
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OPNsense on Proxmox is the best way to run your network, and I will die on this hill
xda-developers.com·8h
⚖️CAP Theorem
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