MLOps

Model Deployment, ML Pipelines, Monitoring, Versioning

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

 ☸️Kubernetes  Content type: Academic
arxiv.org·

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

 Data Engineering  Content type: Blog
medium.com·

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

 Data Engineering  Content type: Code
github.com··Hacker News

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

 Data Engineering  Content type: Blog
metrics.blogg.gu.se·

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

 🗄️Databases
thenewstack.io·

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

 🗄️Databases
hopsworks.ai··Hacker News

This Exclusive Meet-and-Greet at EPCOT Looks Totally Different Now!

 Minimalism  Content type: Blog
disneyfoodblog.com·

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

 Minimalism  Content type: Blog

I Built a No-Code AutoML App in Python. Here’s Every Decision That Made It Work

 🏠Self Hosting  Content type: Blog
medium.com
·

AI Governance Tools: How To Achieve Compliance and Visibility

 🦆DuckDB  Content type: Blog
blog.n8n.io·

Bring your own evaluation framework to EvalHub

 ☸️Kubernetes

Location: Lubbock, TX, USA Remote: Yes (Remote-friendly, US-based) Technologies:...

 🗄️Databases  Content type: Discussion

Agent-as-a-Code in Databricks for Production

 Data Engineering  Content type: Blog
medium.com·

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

 Data Engineering  Content type: Blog
medium.com
·

AI Serving Platform That Adapts to Your Model

 ☸️Kubernetes  Content type: Blog
databricks.com·

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

 Data Engineering  Content type: Blog
medium.com·

AI Innovations: The New Frontier of Decision-Making and Security

 🗄️Databases  Content type: Blog
medium.com·

Article Series: Securing the AI Stack: From Model to Production

 🔍Digital Forensics  Content type: News
infoq.com·

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

 Data Engineering

A Framework for Evaluating and Benchmarking Concept Drift Detection Methods

 Data Engineering  Content type: Academic
arxiv.org·

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