Bridging DevOps and MLOps - Unifying Pipelines with KitOps and GitOps

Explore how to seamlessly integrate KitOps with GitOps tools like Flux and ArgoCD to create unified deployment processes for native AI workloads in this 32-minute conference talk from DevConf.IN 2026. Discover how KitOps ModelKits enable repeatable packaging of models, code, and datasets across any environment while GitOps provides automated, auditable deployment processes. Watch hands-on demonstrations showcasing version-controlled machine learning elements, automatic rollbacks, and environment recovery capabilities. Learn techniques to eliminate configuration drift, enforce consistent audit trails, and support enterprise compliance requirements with minimal operational overhead. Understand how connecting modern DevOps methodologies with rigorous MLOps demands enables cloud-native AI teams to rapidly deliver reliable, scalable, and secure machine learning solutions through unified pipeline approaches.