Design Microservices Architecture with Patterns and Principles - Best Practices When Choosing Data Store - Use Right Too

The video tutorial discusses best practices for selecting databases in microservice architectures. It emphasizes using the right tool for the job, considering alternatives to relational databases, and embracing polyglot persistence. The tutorial also covers trade-offs between availability and consistency, transactional boundaries, and the importance of team competence in database technologies.

What is a key principle when selecting a database for a specific task?

• Use a single database type for all tasks

• Choose the most popular database

• Use the right tool for the right job

• Select the cheapest database option

Why should you avoid using a single data store technology in large-scale microservice architectures?

• It reduces the number of databases to manage

• It ensures strong consistency

• It simplifies data management

• It may not meet diverse data requirements

What does polyglot persistence involve?

• Using a single database for all data types

• Mixing different data store technologies

• Using only NoSQL databases

• Storing all data in a relational database

What should be prioritized to scale a database horizontally?

• Relational databases

• Single data store technology

• Strong consistency

• High availability

Why is it important to consider the competence of development teams when choosing database technologies?

• To minimize training costs

• To ensure they can optimize queries and improve performance

• To reduce the number of databases used

• To ensure they can use only relational databases