🔥🚀 Database Design for Microservice Development with AI: Best Practices

You’ll learn how to use AI tools to help structure databases for scalability and independence, ensuring each microservice can manage its own data without unnecessary dependencies. By the end of the session, you'll have practical knowledge of how to design databases that align with modern microservice architecture.

🧪 What You’ll Learn:

• Database Design for Microservices: Learn how to structure your databases to support independent services and avoid tight coupling.
• Data Isolation: How to design each microservice’s database so they can function independently and scale without issues.
• AI-Assisted Database Design: Use AI tools like ChatGPT to generate database structures, optimize queries, and check for design flaws.
• Scalable and Maintainable Databases: Best practices for building databases that can grow with your services and are easy to maintain.

💡 Why It Matters:

• Independence: Microservices require independent databases to avoid bottlenecks and allow for independent scaling.
• AI Assistance: AI tools like ChatGPT can help you generate optimized database designs, reducing errors and improving efficiency.
• Best Practices: Learn how to design databases that follow modern software principles and are easier to scale, maintain, and secure.

👨‍💻 Who Should Attend:

• Juniors and new graduates looking to learn database design for microservices.
• Non-tech people interested in how databases work in modern application architectures.
• Anyone wanting to understand the importance of good database design in scalable and maintainable microservices.

🕓 Schedule:

• 18:30 - Networking
• 18:40 - Program starts
• 19:20 - Q&A - networking
• 19:30 - End