DevOps in 2026: Stay in DevOps or Transition to MLOps, AIOps, DataOps?

As we close out 2025, many DevOps engineers are facing the same question:
Should I continue growing in DevOps, or is it time to transition into MLOps, AIOps, or DataOps?

With AI agents and agentic workflows increasingly automating infrastructure and operations, it’s natural to wonder how these changes impact DevOps roles and career paths going into 2026.

In this video, I break down what’s actually changing — and what isn’t. You’ll get a clear, practical explanation of DevOps, MLOps, AIOps, and DataOps, how AI agents fit across all of these domains, and how to think about your career without chasing hype or fear-driven narratives.

What you’ll learn in this video:

Why DevOps is not dying, but evolving into specialized domains

The real difference between DevOps, MLOps, AIOps, and DataOps

Where AI agents and agentic workflows actually fit in operations

When it makes sense to stay in DevOps

When transitioning to MLOps, AIOps, or DataOps is the right move

Why these paths are not mutually exclusive

How to choose a direction based on the problems that genuinely excite you

This video is designed for engineers who want clarity, not clickbait — and who want to make career decisions grounded in real systems, real demand, and real interest.

If this helped you understand where the industry is heading, consider subscribing. In upcoming videos, I’ll go deeper into each specialization — DevOps, MLOps, AIOps, and DataOps — with real-world context and practical insights.

#DevOps #MLOps #AIOps #DataOps #DevOpsCareer #AIAgents #AgenticWorkflows #CloudEngineering #FutureOfDevOps

Видео DevOps in 2026: Stay in DevOps or Transition to MLOps, AIOps, DataOps? канала Build & Automate