🐝 Cilium

eBPF, Kubernetes, Network Policy, Service Mesh

Learn How to Lower Heroku Dyno Latency through Persistent Connections (Keep-alive)
heroku.com·3d
⚡QUIC Protocol
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Crossplane's CNCF Graduation
blog.crossplane.io·1d·
Discuss: Hacker News
☁️Cloudflare Workers
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The Gnome Village
happihacking.com·2d·
Discuss: Hacker News
🏰Tower
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Who’s your agent?
doc.searls.com·1d·
Discuss: Hacker News
🛡️AI Security
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Leaving PyTorch and Meta
soumith.ch·1d·
Discuss: Hacker News, Hacker News, r/programming
🔥PyTorch
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Qartographer: Quantum Chip Design... Reimagined!
github.com·1d·
Discuss: DEV
📊Performance Tools
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Civilization Heartbeat Sentinel
github.com·3d·
Discuss: Hacker News
🔭Tracing
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Ubuntu Blog: Azure VM utils now included in Ubuntu: boosting cloud workloads
ubuntu.com·2d
💻KVM
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Before there was Kubernetes, there was Borg......
dev.to·2d·
Discuss: DEV
☸️Kubernetes
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Security Audit of intel ICE Driver for e810 Network Interface Card
arxiv.org·3d
🔍eBPF
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Announcing React Native Versatile Modal: One Modal Component to Rule Them All
dev.to·19h·
Discuss: DEV
📝Neovim
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Enterprise Design Patterns: The Repository Pattern (Catalog of Patterns of EAA) — A Practical Guide with Python
dev.to·1d·
Discuss: DEV
🦀Rust
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The Evolving Role of a Solutions Architect
linkedin.com·4d·
Discuss: DEV
🔧DevOps
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API-Led Connectivity - Practical Questions Answered - Part III
dev.to·3d·
Discuss: DEV
🎨API Design
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The Hidden Challenges Startups Face with Cloud Infrastructure (From a DevOps Engineer’s Perspective)
linkedin.com·3d·
Discuss: DEV
🔧DevOps
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Building a Mini Build System in Go: Understanding How Bazel Works Under the Hood
dev.to·6h·
Discuss: DEV
🏗️Build Systems
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Architectural Patterns for Securing Data: At Rest, In Transit, and At Runtime
dev.to·4d·
Discuss: DEV
🔒Security
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Infrastructure Sovereignty and the AI-Proof Skill Stack: What the OpenAI-AWS Deal Reveals About Future-Proof Careers
dev.to·3d·
Discuss: DEV
🔐Capability Systems
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From 30 Minutes to 5: Solving Data Pipeline Deployment Bottlenecks with Git Sparse Checkout
dev.to·2d·
Discuss: DEV
🏗️Cranelift
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Structural Priors and Modular Adapters in the Composable Fine-Tuning Algorithm of Large-Scale Models
arxiv.org·1d
🚀MLOps
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