Kernel Programming, Observability, Networking, Security, Performance Monitoring

A First Look at the Adoption of BGP-based DDoS Scrubbing Services
labs.ripe.net·3h
🌐Networking
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New comment by Raphty in "Ask HN: Who is hiring? (November 2025)"
join.com·4h·
Discuss: Hacker News
Backend Engineering
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Cloud-Native Broadcasting Takes Center Stage at APEC 2025: A Technical Analysis
scale.forem.com·8h·
Discuss: DEV
☁️Cloud Computing
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AWS DynamoDB Outage Analysis
entropicthoughts.com·1d·
☁️Cloud Computing
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Data Observability in Analytics: Tools, Techniques, and Why It Matters
kdnuggets.com·23h
📊Monitoring
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HTB: Dump
0xdf.gitlab.io·1d
Backend Engineering
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Energy Loss Functions for Physical Systems
arxiv.org·7h
Performance
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Cutting LLM Batch Inference Time in Half: Dynamic Prefix Bucketing at Scale
daft.ai·18h·
Discuss: Hacker News
Performance
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Building Resilient Event-Driven Systems: Lessons from the Distributed Trenches
dev.to·1d·
Discuss: DEV
🔗Distributed Systems
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🧠 I built a full system monitor in Bash — and fought awk along the way 💀
dev.to·14h·
Discuss: DEV
🐧Linux Kernel
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Automated Anomaly Detection and Predictive Maintenance in Self-Propelled Brush Rollers Using Bayesian Network Fusion
dev.to·14h·
Discuss: DEV
📊Monitoring
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Show HN: ReadMyMRI DICOM native preprocessor with multi model consensus/ML pipes
github.com·13h·
Discuss: Hacker News
📊Monitoring
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Networking in the Standard Library is a terrible idea
reddit.com·1d·
Discuss: r/cpp
🦀Rust
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The True Cost of AI Integrations: Comparing Performance and Pricing Models for C# Libraries
dev.to·1d·
Discuss: DEV
☁️Cloud Computing
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Why Your Observability Strategy Should Start With SLOs
thenewstack.io·1d
📊Monitoring
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How Transformer Models Detect Anomalies in System Logs
hackernoon.com·1d
📊Monitoring
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How to code MPU-6050 on STM32CubeIDE?
dev.to·2h·
Discuss: DEV
🐧Linux Kernel
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When Oracle Got Hacked (and the Hackers Fought Each Other)
dev.to·7h·
Discuss: DEV
☁️Cloud Computing
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DPO-F+: Aligning Code Repair Feedback with Developers' Preferences
arxiv.org·1d
🕸️WebAssembly
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Using ensemble learning with hybrid graph neural networks and transformers to predict traffic in cities
arxiv.org·7h
🦀Rust
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