Event 2

Event Report: Saturday Meet up

Purpose of the Event

  • Share practical knowledge and experiences related to AWS, Cloud Computing, DevOps, and Artificial Intelligence.
  • Help students gain a better understanding of modern technologies used in industry.
  • Introduce real-world projects built on AWS.
  • Provide career orientation in Cloud Computing, System Administration, Cyber Security, and AI.
  • Create opportunities for networking, learning, and community engagement.

Speakers

  • Nguyen Quoc Bao
  • Huynh Quoc Bao
  • Viet Phat
  • Le Hoang Gia Dai
  • Tran Trung Vinh

Key Topics

Multiplayer in the Cloud – Connecting Godot Clients with AWS WebSockets

Nguyen Quoc Bao presented a solution for building multiplayer games on AWS using WebSocket, AWS Lambda, and DynamoDB.

Key highlights:

  • Comparison of multiplayer architectures such as UDP, WebSocket, and HTTP Polling.
  • Building real-time matchmaking and communication systems with AWS WebSocket.
  • Integrating Godot with AWS for multiplayer game development.
  • Introduction to AWS GameLift for large-scale real-time games.

Docker – A Containerization Technology

Huynh Quoc Bao shared knowledge about containerization and Docker.

Key highlights:

  • Understanding virtualization and the limitations of traditional virtual machines.
  • Introduction to containers and Docker.
  • Comparison between virtual machines and containers.
  • Benefits of Docker in software deployment.
  • Common Docker use cases in CI/CD, Microservices, and Cloud Computing.

Build GraphRAG Applications using Amazon Bedrock and Amazon Neptune

Viet Phat introduced GraphRAG and the use of graph databases in AI applications.

Key highlights:

  • Introduction to Retrieval-Augmented Generation (RAG).
  • Limitations of traditional RAG in multi-hop reasoning tasks.
  • How GraphRAG leverages Knowledge Graphs to improve information retrieval.
  • Building GraphRAG applications with Amazon Bedrock and Amazon Neptune.
  • Comparison between managed and open-source solutions.

Machine Learning-based NIDS on AWS

Le Hoang Gia Dai presented a project combining AWS WAF and Machine Learning for cyber attack detection.

Key highlights:

  • Overview of AWS WAF and the limitations of rule-based protection.
  • Introduction to Network Intrusion Detection Systems (NIDS).
  • Building a machine learning model using the CSE-CIC-IDS2018 dataset.
  • Deploying the solution on AWS with a real-time monitoring dashboard.
  • Combining Machine Learning and AWS WAF to enhance threat detection.

From IT Helpdesk to Senior Sysadmin

Tran Trung Vinh shared his career journey from IT Helpdesk to System Administrator and his transition toward Cloud and DevOps.

Key highlights:

  • Essential skills gained from working in IT Helpdesk.
  • Learning Linux and Networking to become a System Administrator.
  • Daily responsibilities and experiences of a Sysadmin.
  • A recommended learning roadmap for Cloud and DevOps.
  • Interview experiences and career development advice.

What I Learned

Technical Knowledge

  • Learned how to build real-time systems on AWS using WebSocket, Lambda, and DynamoDB.
  • Gained a better understanding of containerization and Docker.
  • Learned how GraphRAG combines AI with Graph Databases for more effective information retrieval.
  • Understood how Machine Learning can be applied in Cyber Security.
  • Explored various AWS services such as Bedrock, Neptune, WAF, Lambda, and DynamoDB.

Skills and Mindset

  • Recognized the importance of learning through real-world projects.
  • Gained a clearer understanding of career paths in Cloud, DevOps, and System Administration.
  • Realized the value of continuous self-learning and hands-on practice.
  • Developed a stronger problem-solving mindset and a more structured approach to skill development.

Applications to My Studies and Future Work

  • Explore and practice with the AWS services introduced during the event.
  • Learn Docker to support the deployment of personal and academic projects.
  • Apply Cloud and DevOps concepts to future coursework and software projects.
  • Further study AI, GraphRAG, and Machine Learning applications on AWS.
  • Build a clearer learning roadmap toward becoming a Cloud Engineer or DevOps Engineer.

Event Experience

The event provided valuable insights and practical experiences from speakers who are actively working in the technology industry. What impressed me the most was that the sessions focused not only on theoretical concepts but also on real-world projects and practical implementations on AWS.

In addition to learning about Cloud Computing, Docker, AI, and Cyber Security, I also gained useful career advice, self-learning strategies, and personal development insights. The speakers’ experiences inspired me to continue improving my technical skills and exploring new technologies.

Some Photos from the Event

Event Photo

Overall, Community Day was a highly informative and inspiring event that broadened my knowledge of AWS, AI, DevOps, and Cyber Security while providing valuable career guidance and practical industry insights.