Key Drivers for Service Disintegration: Security, Data Access, Scalability, and Throughput
In microservices architecture, defining service boundaries is crucial for performance and security. Two key drivers for effective service disintegration are security and data access as well as scalability and throughput.
Security and Data Access
Different data types have varying security requirements. Separating services based on these needs allows for tailored security measures, protecting sensitive data like credit card information separately from less sensitive data like user profiles.
Example: A Profile Service for basic user info and a Wallet Service for sensitive credit card data, each with appropriate security levels.
Scalability and Throughput
Services often have different scaling needs. By disintegrating based on throughput, you can allocate resources more efficiently.
Example: A Notification Service might be split into SMS, Email, and Letter Services, each optimized for their specific traffic demands.
Benefits
- Improved Security: Specialized security for sensitive data.
- Optimized Performance: Efficient scaling based on service needs.
- Easier Maintenance: Simpler to update and debug smaller, focused services.
Considering security, data access, scalability, and throughput when defining service boundaries ensures a robust, secure, and efficient system. This approach leads to better resource allocation, enhanced security, and easier maintenance, making it crucial for modern applications.
Resources :