Event 1

Reflection Report: “AWS re:Invent Recap HCMC”

Event Objectives

  • Update key highlights from AWS re:Invent
  • Explore trends in infrastructure and application modernization on AWS
  • Learn about new advancements in AI / ML / GenAI
  • Gain insights into how AWS supports businesses in building, operating, and scaling systems

Main Content of the Event

The event was divided into two main tracks:

Track 1: Infrastructure & Application Modernization

  • Infrastructure and application modernization
  • Hybrid Cloud & Multi-Cloud strategies
  • Simplifying containerized applications on AWS
  • Optimizing workloads with appropriate database solutions
  • Modernization with AI support
  • System security and risk detection
  • Announcement of Vietnam DirectConnect POP

Track 2: Analytics / ML / AI & Innovation

  • New trends in ML/AI
  • Vector Database on S3
  • Natural language querying with OpenSearch
  • Applying Nova and Bedrock for GenAI
  • Working with AWS resources via MCP
  • Multimodal Retrieval for Bedrock Knowledge Bases
  • MLOps and model training with Amazon SageMaker AI

Key Highlights

1. Infrastructure Modernization & Networking

  • Previous challenges: Network connectivity between regions (VPCs) was complex, difficult to scale, and prone to failure if a single Availability Zone (AZ) encountered issues.

  • New solutions:

    • Use Cloud WAN and Transit Gateway for easier large-scale network management
    • Introduction of Regional NAT Gateway: Improves system stability by removing dependency on a single AZ, enhancing availability and cost efficiency
    • Build more flexible systems with Hybrid Cloud and Multi-Cloud models
    • Vietnam DirectConnect POP: Direct connection point that reduces latency for the Vietnamese market

2. Generative AI (GenAI)

  • Nova & Bedrock Models: Introduced a new generation of AI models (Nova) capable of multimodal processing (text, image, video) with faster response times

  • Model Context Protocol (MCP): A new standard that enables AI agents to connect more intelligently with data sources and external tools

  • AI-Powered Modernization (Kiro): A tool that leverages AI to automatically analyze and recommend security policies, reducing manual configuration efforts

3. Developer Tools & MLOps

  • Amazon SageMaker AI: Enhancements that make training and deploying AI models more automated and cost-efficient

  • Vector Database on S3: A cost-effective yet high-performance approach to storing and querying AI-related data

Key Takeaways

  • Agentic AI mindset: AI is no longer just for Q&A—it can autonomously perform tasks (e.g., browser automation, API calls) to assist users
  • Infrastructure flexibility: Better understanding of multi-cloud integration between AWS, Azure, and Google Cloud
  • Operational optimization: Awareness of tools that help automate repetitive system management tasks

Event Experience

Attending this event provided a broader overview of the latest AWS updates, especially the convergence of cloud infrastructure and AI innovation. The content was diverse, offering a high-level understanding of multiple emerging topics and highlighting key AWS services currently gaining traction.

Networking & Knowledge Sharing

  • Opportunity to learn from industry speakers
  • Exposure to new technology trends on AWS
  • Expanded perspective on real-world applications of AWS services

Event Photos

Overall, this was a valuable event for staying updated on AWS trends, particularly in infrastructure modernization, AI/ML, and real-world applications of GenAI.