Overview of the Report
The Cloud Native Computing Foundation’s Technology Radar for Q3 2025 highlights how AI inferencing, machine learning orchestration, and agentic AI systems are transforming cloud native development. Conducted with insights from over 300 developers, the report marks a significant shift as cloud native methods become essential for AI and ML workloads globally. This shift indicates a movement from experimental phases to operational stability, reflecting the growing importance of these technologies in real-world applications.
Key Insights from the Radar
- NVIDIA Triton is recognized as the leading tool for AI inferencing, receiving top ratings for reliability and usefulness.
- DeepSpeed and TensorFlow Serving gained strong ratings, indicating their reliability for diverse projects without sacrificing performance.
- Adlik earned high developer loyalty, with a 92% recommendation rate, showcasing its growing popularity despite being newer.
- Apache Airflow and Metaflow achieved “adopt” status in ML orchestration, demonstrating their effectiveness in managing complex machine learning workflows.
- Agent2Agent protocol received enthusiastic endorsements, indicating a strong potential for agent-based AI architectures.
The Bigger Picture
The findings emphasize that cloud native infrastructures are now crucial for AI and ML developers. With 41% of developers identifying as cloud native, CNCF technologies are foundational for both experimental and production workloads. This evolution illustrates how cloud native principles are vital for scalability and operational efficiency in next-generation AI systems, driving innovation across industries.
