This article features a curated selection of articles and tutorials on MLOps and LLMOps, with a focus on open-source solutions. Topics covered include Retrieval-Augmented Generation (RAG), voice matching with LLMs, data mesh architecture, and the impact of AI on software development teams. The first part of Mission Lane’s transition to a modern MLOps stack is also discussed, along with a lightweight Python package for simplifying MLOps infrastructure deployment and practical strategies for deploying ML models using Kubernetes, Knative, and Istio.