Learn why traditional DevOps needs AI, the role AI plays in DevOps, how to implement it, practices, challenges and solutions, and examples.

Dynatrace's acquisition of Metis brings AI-powered database observability to DevOps teams, enhancing troubleshooting and optimization.

F5 launches a converged Application Delivery and Security Platform, empowering teams to manage hybrid multicloud and AI-driven workloads.

As continuous integration and continuous deployment (CI/CD) pipelines become increasingly complex, organizations are turning to artificial intelligence (AI) to detect and mitigate anomalies. AI-driven anomaly detection in CI/CD pipelines enhances security, reduces downtime, and improves deployment accuracy. By leveraging machine learning (ML) models, organizations can analyze historical data, identify patterns, and predict potential failures before they occur. Traditional CI/CD anomaly detection relied heavily on static rules and manual interventions.