Vietnam – 10 September 2026

• From cloud-native to AI-native
• New workflows, agentic tools, and operating models
• Ownership, reliability, and governance at scale

Michelle Sandford, Developer Engagement Lead ANZ & Asia, Microsoft

The bottleneck holding your clients back isn’t the AI model – it’s everything behind it: test data, UI coverage, and service dependencies at scale. Autonomous, Governed Software Delivery withPerforce Intelligence. Understand how Perforce Intelligence orchestrates humans and AI agents across enterprise DevOps workflows.

Vikram Kulkarni, Senior Director, Sales Engineering, Perforce Delphix

• How AIOps is reshaping incident response and the on-call workflow
• Why agentic applications demand a new approach to observability
• How both converge on unified, correlated observability across apps, infrastructure, and AI

Bang Truong, Solution Architect, Datadog

• AI, Cloud and Digital Infrastructure
• Addressing infrastructure gaps and talent constraints

Moderator:

Michelle Sandford, Developer Engagement Lead ANZ & Asia, Microsoft

Panellists:

Eric Vu Chau, Deputy Head of Division, Digital Banking, Asia Commercial Bank

Steve Vu, Senior Vice President of Technology & Innovation, Pizza 4P’s

• Is software development obsolete with the increased usage of AI in software development?
• How much trust is there in applications developed by AI (Claude, Codex, Gemini,…etc)
• How can we leverage AI (instead of fearing AI) to make software development more secure and stable while increasing efficiency and productivity?

Stanley Eu, Regional Director, Parasoft

• Governance ≠ More Approvals — moving from manual gates to automated controls
• Policy + Automation + Evidence — embedding governance into the DevOps delivery process
• Speed with Trust — scaling DevOps while maintaining security, reliability, and compliance

Tu Le Cong, Domain DevOps Lead – Southern | Banking Platforms & Digital Services, VPBank

• Creating workflows where automation accelerates both delivery and security
• Integrating security tools without disrupting developer experience
• Using AI to enhance code quality, detect vulnerabilities, and streamline compliance
• Real-world examples of teams shifting to a security-first culture

Moderator:
George Coldham, Cloud Solution Architect, Microsoft

Panellists:
Hieu Le, Head of Engineering, PropertyGuru Vietnam
Ha Nguyen, Head of Integrated Risk Management, Asia Commercial Bank

In this session, discover how to bridge the gap between telemetry and resolution. You will learn how to:

– Unify visibility across hybrid and multicloud BIG-IP deployments.

– Slash MTTR using AI and natural language to accelerate root cause analysis.

– Transform raw telemetry into actionable health scores and intelligent alerts.

– Proactively identify risks and anomalies before they impact production.

Nguyen Thanh Bien, Principal Solution Engineer, F5

Simplifying and Automating Kubernetes cluster management by integrating Model Context Protocol (MCP) with platforms like Azure Kubernetes Service (AKS). MCP acts as a bridge between AI assistants (e.g., GitHub Copilot, Cursor) and Kubernetes clusters, enabling natural language interactions for operational tasks.

Siva Yakkanti, Senior Member of Technical Staff, AMD

• What does an effective cross-functional DevOps & Engineering team actually look like in practice – and how do you structure responsibilities across development, operations, QA, and security?
• How do you choose between the different AI tools amongst the many out there?
• If you had to invest in one capability today to future-proof your organization for the next few years, what would it be – and why?

Moderator:

Michelle Sandford, Developer Engagement Lead ANZ & Asia, Microsoft

Panellists:

Siddharth Ravichandran, Senior Director of Engineering, Trusting Social

Hieu Nguyen, Head of IT Platform, Home Credit Vietnam

Vikram Kulkarni, Senior Director, Sales Engineering, Perforce Delphix