CNCF Unveils KubeCon + CloudNativeCon India 2026 Schedule

Media Contact Third annual India event to spotlight AI, observability, platform engineering and more MUMBAI, India, 11 March, 2026 – The Cloud Native Computing Foundation ® (CNCF®), which builds sustainable ecosystems for cloud native software, today announced the conference sessions for KubeCon + CloudNativeCon India 2026. The event, scheduled for 18-19 June, 2026, in Mumbai, will bring together adopters and technologists from leading open source and cloud native communities. India’s rapidly growing startup ecosystem makes it an important hub for innovation in AI and cloud native technologies. In 2024, the country ranked fourth globally for newly funded AI companies, and 76% of Indian startups are leveraging open source AI to innovate while keeping costs low. Against this backdrop, the two-day conference brings the community together to share knowledge and accelerate this momentum. The program features keynotes, 55 sessions, 8 lightning talks, and breakout discussions focused on the technologies shaping the industry, including AI, observability, platform engineering, operations, and security. Attendees will gain insights into the latest cloud native trends and practical approaches that can help India’s builders and startups continue to scale and innovate. View the full schedule. “We recently found that while 82% of organizations have adopted Kubernetes for their AI workloads, only 7% are deploying AI on a daily basis,” said Jonathan Bryce, executive director, CNCF. “With their global market leadership and ranking third in terms of CNCF committers, Indian contributors are setting the pace for AI-native innovation, which is set to help close this gap. The KubeCon + CloudNativeCon India schedule reinforces and supports the growing need for retraining and upskilling to meet the inference needs of this new era of AI. ” Highlights at KubeCon + CloudNativeCon India 2026 include: AI + ML Explore how cloud native approaches further support AI innovation to manage GPUs, orchestrate AI workloads and support emerging architectures such as AI agents and model routing.