In a microservices architecture, why must security be applied to every individual service rather than just at the entry point?
Think about how microservices can be accessed and communicate.
Each microservice can be accessed directly or indirectly. If one service is left unsecured, attackers can exploit it to access sensitive data or disrupt the system. Therefore, security must be enforced on all services.
Which architectural pattern helps ensure security is consistently applied across all microservices?
Consider how internal service-to-service communication can be secured.
A service mesh provides a dedicated infrastructure layer to enforce security policies like mutual TLS and access control between services, ensuring consistent security across all microservices.
As the number of microservices grows, what is the best approach to maintain strong security without slowing down development?
Think about how automation helps in large systems.
Automating security with centralized tools reduces human error, ensures consistent policies, and scales well as the system grows.
What is a common tradeoff when applying strict security controls to every microservice?
Consider how security measures affect system performance.
Adding security layers like encryption and authentication can add processing time and complexity, which may increase latency and require more management effort.
A microservices system has 100 services communicating with each other. Each security check adds 5ms latency per request. If a request passes through 4 services, what is the total added latency due to security checks?
Multiply the number of services the request passes by the latency per security check.
Each service adds 5ms latency. For 4 services, total latency is 4 x 5ms = 20ms.