7.4 Monitoring and Optimizing Consumer Performance

In this section

• Key Metrics to Track in Event-Driven Architectures
  Explore essential metrics for monitoring and optimizing consumer performance in event-driven architectures, including message throughput, processing latency, and more.
• Identifying Bottlenecks in Event-Driven Architectures
  Explore techniques for identifying and resolving bottlenecks in event-driven systems, focusing on queue depth analysis, consumer performance metrics, and more.
• Tools for Monitoring Consumers: Enhancing Performance and Reliability
  Explore comprehensive tools and strategies for monitoring consumer performance in event-driven architectures, including Prometheus, Grafana, ELK Stack, distributed tracing, and cloud-native solutions.