Consider a system with multiple microservices. What is the main advantage of introducing a Config Server pattern?
Think about how configuration changes are managed across many services.
The Config Server pattern centralizes configuration so that all microservices can fetch their settings from one place. This allows updates without redeploying each service.
In a Config Server pattern, how do microservices learn about configuration updates without polling continuously?
Think about how systems communicate asynchronously to inform about changes.
Using a message broker or event bus allows the Config Server to push notifications to microservices, so they can reload configuration without polling.
When the number of microservices grows rapidly, what role does the Config Server play in scaling configuration management?
Consider how managing many copies of configuration can become inefficient.
The Config Server provides a centralized source of configuration, preventing duplication and easing management as microservices scale.
While Config Server centralizes configuration, what is a common tradeoff or risk introduced by this pattern?
Think about what happens if the central configuration source becomes unreachable.
If the Config Server is down, microservices may fail to retrieve or refresh configurations, causing outages unless redundancy is implemented.
Assuming each of the 500 microservices requests configuration from the Config Server exactly once every 5 minutes, how many requests per minute does the Config Server handle?
Calculate total requests per 5 minutes, then divide by 5 to get per minute.
500 microservices * 1 request per 5 minutes = 500 requests per 5 minutes. Dividing by 5 gives 100 requests per minute.