Schema Evolution, Binary Format, Apache Kafka, Data Serialization

Ubuntu Blog: Canonical Kubernetes officially included in Sylva 1.5
ubuntu.com·6h
☸️Kubernetes
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Bcachefs Rolls Out Metadata Version Reconcile "rebalance_v2" Feature
phoronix.com·5h
💿SPDK
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Bring Confidence to Complex Data Migrations with Snapshot Testing
spin.atomicobject.com·10h·
Discuss: Hacker News
🧪Testing
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Ossa: Towards the Next Generation Web
jamesparker.me·3d·
Discuss: Hacker News
🤝Paxos
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Messing with bots
herman.bearblog.dev·14h·
🔓Binary Exploitation
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How to Integrate WebAssembly: 7 Practical Patterns for Faster Web Applications
dev.to·5h·
Discuss: DEV
🕸️WebAssembly
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How We Built Coomia DataGPT — An AI Copilot for Data Analysis
dev.to·22h·
Discuss: DEV
ClickHouse
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Models, Agents and Prompt Injections – Some Experiments
veganmosfet.github.io·2d·
Discuss: Hacker News
🔌gRPC
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Building a Social Network Analyzer with CXXGraph: From Friend Recommendations to Influence Detection
dev.to·1d·
Discuss: DEV
🕸️Graph Databases
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Show HN: LimiX-2M – The super-light foundation model redefining tabular learning
news.ycombinator.com·21h·
Discuss: Hacker News
🦙Ollama
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Create Your First MCP Tool: The readFile Tool Explained
dev.to·1d·
Discuss: DEV
📚Technical Writing
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Hotspot: A Go CLI that uses Git history to assess org risk and tech debt
github.com·1d·
🔧DevOps
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From Pandas to Upstream Control: The Evolution PyData Needs Next
dev.to·1d·
Discuss: DEV
🗄️Database Sharding
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Building a Production RAG System for Resume Search: What Actually Worked (and What Didn't)
dev.to·23h·
Discuss: DEV
🗄️Database Internals
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Python Security Guide: Password Hashing, Encryption, Digital Signatures, and Secure Coding Practices
dev.to·4h·
Discuss: DEV
🔐Cryptography
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TiDAR: Think in Diffusion, Talk in Autoregression
arxiv.org·18h
🌀Naiad
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How to Ensure Quality of Responses in AI Agents
dev.to·8h·
Discuss: DEV
Performance Engineering
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A Production LLMOps Architecture for Snowflake
dev.to·2d·
Discuss: DEV
🦙Ollama
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Designing Data-Intensive Applications — Chapter 2: Data Models and Query Languages
dev.to·2d·
Discuss: DEV
🗄️Database Internals
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Computability of the Optimizer for Rate Distortion Functions
arxiv.org·18h
📊Information Theory
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