Cloud Native AI Summit

Overview

Cloud Native AI Summit in Paris marks the European edition of a practitioner-led, independent conference focused on cloud native technologies and the integration of artificial intelligence with modern infrastructure. The event takes place on December 2–3, 2026, in Paris, France, and is hosted as part of a federation of CNS events across major cities. The Paris edition is presented as a first time in the city and emphasizes a community-driven, vendor-neutral environment for knowledge sharing, hands-on learning, and networking among professionals working with cloud native systems and AI enabled workloads.

What is this event

The CNS Paris gathering is designed for a wide audience including leaders of application development and platform ownership, developers and engineers, systems administrators, DevOps professionals, architects, CIOs, CTOs, CISOs, academics, press, and analysts. It positions itself as a practical forum where practitioners share experiences and best practices for operating in production with Kubernetes, observability, security, AI on Kubernetes, and platform engineering. The event emphasizes practical content rather than sales pitches and invites talks that reveal real-world lessons from the field.

Agenda and format

The program centers on two days of content that blends sessions, workshops, and collaborative discussions. Tracks and sessions cover AI systems, agentic workloads, and the evolving interplay between cloud native technology and AI driven workloads. Topics span from development experiences and delivery to platform and internal tooling, operations, reliability, performance, observability, security, trust, networking, edge computing, service mesh, data systems, and foundational getting started topics. Co-located workshops are highlighted as a feature, offering attendees practical opportunities to engage in hands-on learning and to deepen understanding through guided hands-on activities.

Venue and access

The Paris edition of the CNS is anchored in a prominent European venue in Paris, with a description indicating a large, modular space suitable for multiple rooms and amphitheaters. The venue description emphasizes accessibility, with details about transit connections to major Paris transport lines. The site notes a commitment to providing an engaging physical space that supports big audiences and intimate deep-dive sessions alike, including spaces for networking and sponsor/community expo activities.

Who should attend

Audience breadth spans technical practitioners and leadership alike. Expected attendees include leaders of application development and platform ownership, developers and engineers, systems administrators, DevOps professionals, architects, CIOs, CTOs, CISOs, executives, academics, and researchers. The event emphasizes opportunities for networking, partnership development, and knowledge exchange with a diverse range of attendees from private organizations, government entities, and academia across Europe and beyond.

FAQ and practical notes

Attendees can expect content that covers Kubernetes, observability, security, AI-on-K8s, and platform engineering, among other cloud native topics. The event promotes a community-driven atmosphere and invites participation from those seeking practical insights, realistic deployment experiences, and challenges faced in real-world environments. For those seeking additional details on speakers, exact session schedules, or registration timelines, the event website encourages checking the official Paris CNS page and related contact channels for updates and call for talks or sponsorship information.

Summary

In short, Cloud Native AI Summit Paris delivers a concise, practice-oriented exploration of cloud native technologies and AI integration in a European context. It focuses on hands-on lessons, real-world deployments, and robust networking opportunities across a two-day schedule with sessions, workshops, and space for collaboration, all aimed at helping attendees build more resilient and intelligent cloud native systems.