Health checks are used in distributed systems to monitor the status of components. What is their main goal?
Think about what 'health' means for a service in a system.
Health checks help detect if a component is alive and can respond, enabling the system to avoid sending requests to failed parts.
There are different health check types: TCP, HTTP, and custom application-level checks. Which one best confirms a web service is fully operational?
Consider which check confirms the service logic is working, not just network availability.
HTTP health checks that call a specific endpoint confirm the service is running and can process requests correctly.
Consider a system with thousands of instances. What is a potential downside of very frequent health checks?
Think about the cost of sending many requests frequently.
Very frequent health checks generate extra network traffic and processing load, which can degrade performance and scalability.
Setting very short timeouts for health checks can detect failures quickly but may cause what issue?
Think about what happens if a service is slow but still healthy.
Short timeouts may cause healthy but slow services to be marked as unhealthy, leading to unnecessary failovers.
You have many microservices each with their own health checks. Which component should collect and present a unified health status?
Consider how to get a single view of system health efficiently.
A centralized health aggregator collects health data from all services and provides a unified status, simplifying monitoring and alerting.