Three Ways to Use Your Snapshots
neon.com·7h
🗄️Databases
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Easel's State-of-the-Art Rollback Netcode Implementation
easel.games·1h·
Discuss: Hacker News
🎮Game Engines
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BostonWalks study: a longitudinal travel survey using smartphone tracking
link.springer.com·1d·
Discuss: Hacker News
🗄️Databases
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Patrick Altman: Using Vite with Vue and Django
wedgworth.dev·13h·
Discuss: Hacker News
🔨From Scratch
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5 Tools to Integrate Object Storage and Kubernetes
backblaze.com·3d
🗄️Databases
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Mount Mayhem at Netflix: Scaling Containers on Modern CPUs
netflixtechblog.medium.com·3d·
Discuss: Hacker News
🧠Memory Management
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Mission-Critical in the Context of the API Manifesto and Move Fast/Break Things
aptiv.com·7h·
Discuss: Hacker News
⚙Systems Programming
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Which approach is usually followed to populate DB with static values in go?
reddit.com·1d·
Discuss: r/golang
🗄️Databases
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Annotation-Efficient Universal Honesty Alignment
paperium.net·23h·
Discuss: DEV
⚙Systems Programming
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Hans-Juergen Schoenig: PostgreSQL 18: More performance with index skip scans
cybertec-postgresql.com·1h
🗄️Databases
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Enhancing Cloud Workload Isolation via Adaptive Byzantine Fault Tolerance with Multi-Objective Optimization
dev.to·4d·
Discuss: DEV
🗄️Databases
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Advanced Hydraulic Fracture Optimization for Enhanced Reservoir Connectivity in Clay-Rich Dam Foundations
dev.to·1d·
Discuss: DEV
⚙Systems Programming
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EmoBang: Detecting Emotion From Bengali Texts
arxiv.org·2h
🗄️Databases
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Krish Naik: Stop Fighting with Kubernetes! Scale Python to 1000s of Machines with Coiled
dev.to·5h·
Discuss: DEV
⚙Systems Programming
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Kubecon: VCluster’s K8s Platform to Manage GPUs as a Service
thenewstack.io·15h
⚙Systems Programming
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Parallelization
dev.to·17h·
Discuss: DEV
🎮Game Engines
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Right Approach to JSON Log Analysis: A Hands-on Guide to Efficient Practices with Alibaba Cloud SLS
dev.to·1d·
Discuss: DEV
🗄️Databases
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EncouRAGe: Evaluating RAG Local, Fast, and Reliable
arxiv.org·1d
🗄️Databases
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MySQL Memory Management and Replication Best Practices for High-Load Environments
dev.to·3d·
Discuss: DEV
🗄️Databases
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Risk Prediction of Cardiovascular Disease for Diabetic Patients with Machine Learning and Deep Learning Techniques
arxiv.org·1d
🗄️Databases
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