A common toolset for monitoring microservice health and performance combines metrics collection, dashboards, distributed tracing, and log analysis, each covering a different observability need.
Key Points: • Prometheus collects and stores metrics like request rate, latency, and error rate, scraped directly from each service. • Grafana builds dashboards on top of Prometheus (and other data sources) to visualize trends and spot anomalies at a glance. • Zipkin provides distributed tracing, following a single request as it travels across services and highlighting where time is spent or where failures occur. • Splunk (or a similar log-analytics platform) ingests and analyzes logs across services, making it possible to search and visualize what happened around an incident. • Using these tools together covers the three observability pillars, metrics, traces, and logs, rather than relying on any single one in isolation.
Example: When a service's latency spikes, Grafana dashboards fed by Prometheus first flag the anomaly, Zipkin traces show which downstream call is slow, and Splunk logs reveal the underlying error, giving a complete picture from three different angles.
Interview Tip: A concise interview answer is:
"I'd use Prometheus for metrics and Grafana for dashboards to spot anomalies, Zipkin for distributed tracing to see where a slow request loses time, and a log platform like Splunk to dig into the details once an issue is flagged. Together they cover metrics, traces, and logs, the three pillars of observability."