Perennial Task Just Got More Flexible
arthurdick.com·18h·
Discuss: Hacker News
⏳Time-travel Databases
System Design Basics - Databases and Connection Pools
javarevisited.substack.com·4d·
Discuss: Substack, r/programming
🗃️Embedded Databases
Python Fundamentals: case
dev.to·5h·
Discuss: DEV
🔍Static Analysis
From prompts to specs: AWS’s Kiro signals the next phase of AI coding tools
infoworld.com·7h
🧩Nomad
Implementing High-Performance LLM Serving on GKE: An Inference Gateway Walkthrough
cloud.google.com·1d
🏗️AI Infrastructure
I've been coding with AI for two years. Here is what I've learned
nathanpeck.com·15h·
Discuss: Hacker News
🤖AI agents
Behind the Streams: Live at Netflix. Part 1
netflixtechblog.com·2d·
Discuss: Hacker News
🔄p2p
Building enterprise-scale RAG applications with Amazon S3 Vectors and DeepSeek R1 on Amazon SageMaker AI
aws.amazon.com·5h
🏗️AI Infrastructure
Build Your Own Simple Data Pipeline with Python and Docker
kdnuggets.com·3h
☁️Serverless Rust
Reflections on OpenAI
calv.info·2d·
Discuss: Hacker News
☁️Serverless Rust
It is time to shift data left
infoworld.com·8h
📊ClickHouse
New Benchmark suite for analytical DBs using real-world SQL queries
github.com·2d·
Discuss: Hacker News
📊ClickHouse
Machine Learning Fundamentals: dimensionality reduction
dev.to·1d·
Discuss: DEV
🏗️AI Infrastructure
sync.Once — Go's simple pattern for safe one-time execution.
dev.to·3h·
Discuss: DEV
☁️Serverless Rust
Globalization for Scalable Short-term Load Forecasting
arxiv.org·13h
👥Digital Twins
Spark Operator - Feature Engineering with Spark on Kubeflow - Vikas Saxena, RAICS.AI
youtube.com·2d
☁️Serverless Rust
ESG-Net: Event-Aware Semantic Guided Network for Dense Audio-Visual Event Localization
arxiv.org·2d
🎙️Whisper
Abhigyan Khaund on the Systems Engineering Behind AI Applications
hackernoon.com·1d
🧩Low-code
Behind the Streams: Three Years of Live at Netflix. Part 1
netflixtechblog.medium.com·2d·
Discuss: Hacker News
🔄p2p
AI, Humans, and Data Science: Optimizing Roles Across Workflows and the Workforce
arxiv.org·13h
⏰Time-Series Analytics