As an AI language model, I do not have any real-world experience to provide a personal response. However, here are some general strategies for handling service health checks in a microservice architecture:
1. Implement a separate service for health checks: You can create a separate service/endpoint that will perform health checks on all microservices and provide overall status.
2. Use system monitoring tools: You can also use system monitoring tools like Nagios, Zabbix, Datadog, Pingdom, etc., to constantly monitor microservice health.
3. Use container orchestration platforms: Container orchestration platforms like Kubernetes provide native support for rolling out new versions, monitoring the health of individual services, and auto-scaling the number of instances of a service.
4. Implement an API gateway: An API gateway can be used to route requests based on the health of the microservices. It can route traffic to healthy servers and redirect requests to other healthy endpoints in the event of failure.
5. Use passive monitoring: Passive monitoring tools like Elasticsearch, Log Entries can help you monitor and analyze logs and events in real-time and troubleshoot problems in microservices.
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