Event 1

Summary Report: “AWS re:Invent re:Cap Vietnam — HCMC 2025”

Event Overview

  • Event Name: AWS re:Invent re:Cap Vietnam — Ho Chi Minh City
  • Date: January 29, 2026
  • Role: Attendee
  • Format: Multi-track, in-person conference
  • Location: Ho Chi Minh City, Vietnam

Following the success of previous AWS re:Invent re:Cap events, AWS continued to accompany the local AWS community in Vietnam with this year’s re:Cap edition. The Ho Chi Minh City re:Invent Recap provided an exclusive opportunity to deep dive into the latest product releases, service updates, and architectural best practices straight from AWS experts. It was a chance for the community to look back at the most significant highlights from AWS re:Invent, share knowledge, real-world experience, and catch up with the newest technology trends on the AWS platform.

What the Event Offered

The event was designed for two key audiences:

  • Builders — Hands-on workshops, technical sessions, and networking with a community of cloud enthusiasts, equipping them with the knowledge and connections to accelerate projects and drive innovation with AWS.
  • Business & Technical Leaders — Opportunities to explore strategic AI implementations, engage with AWS leadership, and connect with peers navigating similar digital transformation journeys.

Attendees had the opportunity to:

  • Stay up-to-date with the most important announcements from AWS re:Invent
  • Gain deeper understanding of trends in Cloud, AI/ML, Security, Data, Serverless, and more
  • Network and connect with the AWS Vietnam community
  • Learn from real-world experience shared by AWS practitioners

Agenda Highlights

Opening & Keynote Recap

The event opened with a comprehensive recap of the key announcements and launches from AWS re:Invent. Speakers walked through the strategic direction of AWS, covering major themes including generative AI, cloud-native development, and enterprise modernization.

Deep-Dive Sessions: Next-Generation Data Infrastructure for GenAI

A highlight of the afternoon was the series of deep-dive sessions focusing on next-generation data infrastructure purpose-built for Generative AI workloads:

  • Vector Database on S3: A solution that transforms Amazon S3 into a high-performance vector store, dramatically optimizing infrastructure costs for large-scale RAG (Retrieval-Augmented Generation) applications. This session demonstrated how organizations can leverage the durability and cost-effectiveness of S3 while achieving the performance needed for vector similarity search at scale.

  • Natural Query Language in OpenSearch: This session showcased how Amazon OpenSearch Service simplifies data retrieval by allowing users to query data using natural language, eliminating the barrier of complex query syntax for end users. This capability lowers the technical bar for data exploration and empowers business users to derive insights without needing specialized query knowledge.

Cloud, Security & Serverless Tracks

Additional sessions covered the latest developments across AWS’s core service areas:

  • Cloud architecture best practices and modernization strategies
  • Security innovations and compliance frameworks
  • Serverless computing patterns and new service capabilities
  • Data & Analytics updates from re:Invent

Key Technical Learnings

GenAI Infrastructure

  • Understanding how Amazon S3 can serve as a cost-effective foundation for vector databases in RAG architectures
  • The importance of choosing the right storage layer to balance between cost, performance, and scale for AI workloads
  • How vector search on S3 enables organizations to build large-scale GenAI applications without expensive dedicated vector database infrastructure

Natural Language Querying

  • Amazon OpenSearch’s Natural Query Language feature bridges the gap between technical and non-technical users
  • Simplifying data access through natural language can accelerate decision-making across organizations
  • The convergence of search and AI enables more intuitive data exploration patterns

Cloud & Architecture Trends

  • AWS continues to invest heavily in making GenAI accessible through managed services like Amazon Bedrock
  • Serverless-first architecture is becoming the default recommendation for new workloads
  • Multi-modal AI and foundation models are reshaping how developers build intelligent applications

Personal Takeaways

Technical Growth

  • I gained practical insights into how next-generation data infrastructure is being designed specifically for GenAI use cases, particularly the innovative approach of using S3 as a vector store
  • The deep-dive sessions helped me understand the real-world trade-offs between different architectural approaches for RAG applications
  • I learned about emerging patterns in natural language interfaces that are making cloud services more accessible

Industry Insights

  • The Vietnamese tech community is actively adopting GenAI technologies and building production-grade applications on AWS
  • There is strong interest in cost-optimized AI infrastructure, especially for startups and growing companies
  • The cloud ecosystem in Vietnam is maturing rapidly, with more practitioners sharing production experience

Networking & Community

  • Connected with AWS experts, solution architects, and fellow cloud practitioners in the Vietnamese community
  • Discussed technical challenges and approaches with peers working on similar AI/ML and cloud projects
  • The event reinforced the value of being part of an active technical community for continuous learning

Practical Application

  • The knowledge of vector databases on S3 is directly applicable to my work with RAG-based systems
  • Natural language querying concepts can be applied to improve user experience in data-driven applications
  • The architectural patterns shared at the event provide a solid reference for designing scalable, cost-effective cloud solutions

Event Experience

Attending the AWS re:Invent re:Cap Vietnam in Ho Chi Minh City was a highly valuable experience. Unlike a typical conference, this event specifically focused on distilling the most important announcements from AWS re:Invent into actionable insights for the local community. The deep-dive sessions on GenAI infrastructure — particularly Vector Database on S3 and Natural Query Language in OpenSearch — were standout moments that provided both strategic vision and practical implementation knowledge.

The event reinforced my passion for cloud computing and AI/ML, and demonstrated how rapidly the technology landscape is evolving. The combination of expert-led technical sessions and community networking gave me a well-rounded perspective on where AWS and the broader cloud ecosystem are heading, and how I can apply these insights to my own projects and professional development.

Event Photos

AWS re:Invent re:Cap HCMC 2025 - Session AWS re:Invent re:Cap HCMC 2025 - Session