Learn to securely deploy large language models on Kubernetes. This guide covers threat models, mitigation strategies, and best practices for MLOps engineers.
Introduction
Modern enterprises no longer run simple IT stacks. They operate distributed systems across hybrid cloud, microservices, Kubernetes clusters, AI...
CNCF launches K8S AI Conformance to standardize AI workloads, enabling portability, reliability, & consistent AI operations across Kubernetes platforms
MLOps and AIOps are increasingly converging to power intelligent IT operations. While AIOps delivers insights and automation, MLOps ensures machine learning models remain reliable, scalable, and production-ready. Together, they form the foundation for modern, autonomous IT operations.