DevOps for AI: Continuous Deployment Pipelines for Machine Learning Systems

5 Levels of AI Agent Maturity in DevOps

Author: Nishant Modak, CEO of Last9 Bio: Nishant Modak is the CEO of Last9, the unified observability company for AI-native teams used at scale by companies like Replit, Brightcove, Clevertap, Pine Labs, Text Groove, and more. I’ve been working in observability and DevOps tooling for years, and lately I’ve been diving deep into AI agents in production environments. The space is full of noise right now — startups claiming their chatbot is “fully…

DevOps for AI: Continuous deployment pipelines for machine learning systems

AI’s effects on continuous development and deployment pipelines are becoming difficult to ignore. However, decision-makers in software development functions need to consider a broad range of elements when considering the uses of the technology. Deploying artificial intelligence isn’t the same as deploying, for example, a web app. Traditional software updates are usually deterministic: once… Source

Context Engineering: The Next Frontier in AI-Driven DevOps

Imagine a world where your on-call alerts are not just a cryptic message, but a rich, contextualized story of what’s happening, why it’s happening, and how to fix it. This is the promise of context engineering, a concept poised to redefine the role of artificial intelligence in DevOps. While AI has long been touted as […]