When DevOps Isn't Enough: Understanding MLOps and AIOps

DevOps, MLOps, and AIOps are often conflated, but they solve fundamentally different operational challenges—a critical distinction that affects tool selection and organizational structure. While DevOps optimizes software delivery through automation and collaboration, MLOps addresses the unique complexities of machine learning systems, which can fail due to data drift or model staleness even without code changes. AIOps takes operational management further by using AI to detect, correlate, and resolve IT issues at scale, making this taxonomy essential for teams building beyond traditional applications.