AI Context x ContainerDays Singapore

Your Pass to AI Context Series + ContainerDays Singapore.

The AI Context Series returns to Singapore in October 2026 - a two-day gathering bringing together protocol builders, infrastructure engineers, and enterprise teams deploying agentic AI systems in production.

​This event focuses on the realities of scaling agentic AI across organizations, alongside deep technical perspectives on the protocols, tooling, and infrastructure that make these systems work in practice.

​AI Context is built for those past the hype and focused on execution. A working conference for people shaping how agentic systems connect to tools, data, and real-world environments.

​Co-located with ContainerDays Singapore Your ticket gives you full access to both AI Context and ContainerDays Singapore - two shows, one pass, two full days of content and community. Dive deep into the future of agentic AI, while also tapping into one of Europe’s leading events on cloud-native, DevOps, and container technologies.

​Practical, in-depth sessions on implementing agent-to-tool communication protocols in real systems

​Enterprise perspectives on deploying agentic AI in production environments

​Insights from open-source contributors and engineering teams building the ecosystem

​A curated audience of developers, platform engineers, researchers, and technical leaders

​Cross-pollination with the container, DevOps, and cloud-native communities through ContainerDays Singapore

​It’s where the builders shaping the future of agentic AI and the teams redefining cloud-native infrastructure come together - to swap notes, share what’s working, and push the ecosystem forward.

​When Tokens Stop Being the Bottleneck: Operating Agentic Software Factories

​Agent Memory Is Infrastructure: Building Observable Context for Production Agents

​Governing the Agentic Stack on Kubernetes: A Reference Architecture for MCP, A2A and LLM Traffic

​Building Voice Agents with MCP: Architecture Patterns for Contextual Voice Applications

​Your Agent Trace Is Missing the Code: Runtime Observability for Long-Horizon Agents

​The Memory-Bandwidth Wall: A Field Guide to Min-Maxing LLM Serving with vLLM

​Give Your AI Agents a Sandbox: Running Untrusted Agent Code Safely on Kubernetes

​From Data to Decisions: Why Context Is the Missing Layer in Enterprise AI

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User Uploaded Image ​Ajeet Raina — Docker

​Ryan Djurovich — Nadrama.com

​Carl Ross — OpenAI

​Sivaiah Yakkanti — AMD

​Stephen Ho — SkyLab

​Thorsten Hans — Akamai Technologies

​Zhong Liang Ong — Liftoff Mobile

​Manish Katyan — Rakuten

​Yashod Perera — WSO2

​Jyoti Bisht — Independent

​Robin Cher — Kong

​Khang Toh — DKatalis / Bank Jago

​Andrew Schwabe — QCoda

​Lộc Đinh Tấn — Greennode

​Raluca Crisan — Etiq AI

​Steve Ng — Digital Futures Consultancy

​Ivan Porta — Todea

​Aditya Joshi — Walmart

​Marcus Ross — Techniker Krankenkasse

​And more!