Event 3

Reflection Report: “AWS First Cloud AI Journey - Community Day”

Event Objectives

  • Gain an overview of Platform Engineering and its role in the modern cloud ecosystem
  • Learn about GenAIOps and emerging trends in AI application development on AWS
  • Hear insights from industry professionals about technologies, tools, and career paths
  • Broaden perspective on the integration of cloud, DevOps, and AI

Speakers

  • Hai Bui – Engineering Manager, Gotyme
  • Phúc Đặng – Cloud Architect, Gotyme
  • Pháp Nguyễn – Cloud Engineer, VPBank
  • Phát Phạm – Software Engineer, Katalon
  • Nghi Danh – AI Engineer, Renova Cloud
  • Phong Nguyen – Senior Software Engineer

Main Content of the Event

1. Building Modern Platform Engineering & Career Pathways

  • The opening session introduced Platform Engineering, its role in modern cloud and DevOps ecosystems, and the mindset of building platform as a product versus platform as a service.

  • It also covered working environments, internship opportunities, and career orientation in the field.

2. GenAIOps Essential - DevOps for Generative AI Applications

This session focused on applying DevOps principles to Generative AI applications. Some mentioned tools and services include:

  • Amazon Bedrock
  • AgentCore Observability
  • EKS
  • Langfuse

Although the topic leaned toward AI, the key takeaway is that real-world GenAI applications require proper deployment, monitoring, and operational processes—not just experimentation.

3. Shipping Code in the Agentic Era

This session discussed software development in the context of increasing adoption of AI agents, covering:

  • challenges in the “agentic era”
  • supporting tools
  • ways to improve productivity
  • demo illustrations

Overall, it highlights how AI is becoming an integral assistant for developers in coding, automation, and productivity enhancement.

4. Production-Grade Multimodal GenAI on AWS

The final session focused on building multimodal GenAI applications on AWS, including:

  • modern AI application architectures
  • Multimodal Search
  • GraphRAG
  • Multi-Agent Workflows
  • safety and observability for GenAI systems

This demonstrates AWS’s ongoing efforts to mature its ecosystem for building production-ready AI applications.

Key Takeaways

  • Better understanding of Platform Engineering and its importance in modern cloud environments
  • Recognition that AI applications require DevOps/MLOps/Observability practices for reliable operations
  • The Agentic Era trend shows AI becoming part of the software development lifecycle
  • Broader perspective on how AWS integrates cloud, DevOps, and AI in real-world scenarios

Event Experience

This event provided a high-level overview of emerging trends in Platform Engineering, DevOps, and AI on AWS. Although much of the content focused on AI, it also highlighted how these technologies are increasingly integrated with modern infrastructure and operational practices.

Networking & Knowledge Sharing

  • Opportunity to learn from experienced professionals in the industry
  • Insights into career paths and working environments in cloud / DevOps / AI fields
  • Expanded understanding of current technology trends

Event Photos


Overall, this was a valuable event for gaining insights into Platform Engineering and emerging AI trends on AWS, while also providing a clearer understanding of how these technologies are applied in real-world scenarios.