MLOps

model deployment, experiment tracking, checkpointing, pipeline

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Architecturally Significant MLOps Guidelines for ML Model Integration and Deployment: a Gray Literature Review

 🖥️Systems ML  Content type: Academic
arxiv.org·

15 years of Software Center – A Look in the Mirror and over the Front Windshield

 ⚙️Systems Programming  Content type: Blog
metrics.blogg.gu.se·

When your data model is the bottleneck: lessons from Medium’s feature store

 ML Inference
thenewstack.io·

Tejas-TA/predikit: The missing bridge between your ML models and your AI agents.

 🤖Machine Learning  Content type: Code
github.com··Hacker News

Bring your own evaluation framework to EvalHub

 ⚙️Model Training
developers.redhat.com·

SDLC vs. AIDLC: Why Data Engineering is Pushing the Boundaries of Software Development

 ML Inference  Content type: Blog
medium.com·

I Processed 2.4 Billion Tokens Across 52 AI Models for $0.52. Here's the Full Breakdown.

 ML Inference
saintlex.sbs··DEV

Predicting the World Cup Winner: Live Coding with Hopswor...

 ML Inference
hopsworks.ai··Hacker News

Lakeshore Lodge is Not a Mixed-Use Disney World Resort Hotel, But That Doesn’t Really Matter.

 ML Inference  Content type: Blog

Agent-as-a-Code in Databricks for Production

 ML Inference  Content type: Blog
medium.com·

Monitor Nebius AI Cloud with Datadog

 🖥️Systems ML  Content type: Blog
datadoghq.com·

Real-time fraud detection for financial transactions

 🤖Machine Learning  Content type: Blog
redis.io·

The Hidden Tax Killing Your ML Team’s Velocity – And the Architecture Decision That Fixes It

 ML Inference  Content type: Blog
medium.com·

Distributed multi-agent systems with Aspire and Microsoft Agent Framework

 ⚙️Systems Programming  Content type: Blog

Deploying Foundry Hosted Agents from Source Code

 🦀Rust

How We Built a Rolling-Window Feature Store for Telecom Churn Prediction at Scale

 ⚙️Model Training  Content type: Blog
medium.com
·

Day 07 of MLOps: Hands-On Experiment Tracking for Machine Learning Models

 🤖Machine Learning  Content type: Blog
medium.com
·

New comment by HorizonFlowLive in "Ask HN: Who wants to be hired? (June 2026)"

 🤖Machine Learning  Content type: Discussion

AI Serving Platform That Adapts to Your Model

 ML Inference  Content type: Blog
databricks.com·

Still: Amortized KV Cache Compaction in a Single Forward Pass

 🗜️Quantization  Content type: Academic
arxiv.org·

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