🤖🧠 MLOps Basics: A Complete Guide to Building, Deploying and Monitoring Machine Learning Models

🗓️ 30 Oct 2025
📚 AI News & Trends

Machine Learning models are powerful but building them is only half the story. The true challenge lies in deploying, scaling and maintaining these models in production environments – a process that requires collaboration between data scientists, developers and operations teams. This is where MLOps (Machine Learning Operations) comes in. MLOps combines the principles of DevOps ...

#MLOps #MachineLearning #DevOps #ModelDeployment #DataScience #ProductionAI

✨LLM-Powered Fully Automated Chaos Engineering: Towards Enabling Anyone to Build Resilient Software Systems at Low Cost

📝 Summary:
Manual planning and improvement hinder Chaos Engineering adoption. ChaosEater automates the entire Chaos Engineering cycle for Kubernetes using LLMs, handling tasks from requirements to debugging. This enables anyone to build resilient systems quickly and affordably.

🔹 Publication Date: Published on Nov 11

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.07865
• PDF: https://arxiv.org/pdf/2511.07865
• Project Page: https://ntt-dkiku.github.io/chaos-eater/
• Github: https://github.com/ntt-dkiku/chaos-eater

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#ChaosEngineering #LLM #CloudNative #SoftwareResilience #DevOps